davanstrien/test_card · Datasets at Hugging Face

id stringlengths 2 115	lastModified stringlengths 24 24	tags list	author stringlengths 2 42 ⌀	description stringlengths 0 68.7k ⌀	citation stringlengths 0 10.7k ⌀	cardData null	likes int64 0 3.55k	card stringlengths 0 1.01M
Juamzinhu/Daishikawa	2023-09-18T22:18:04.000Z	[ "region:us" ]	Juamzinhu	null	null	null	0	Entry not found
jac12/jen	2023-09-18T23:18:10.000Z	[ "region:us" ]	jac12	null	null	null	0	Entry not found
jac12/mie	2023-09-24T06:39:59.000Z	[ "region:us" ]	jac12	null	null	null	0	Entry not found
bsankar/github-issues	2023-09-18T23:33:52.000Z	[ "region:us" ]	bsankar	null	null	null	0	--- 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: 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: 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: is_pull_request dtype: bool - name: is_closed dtype: bool - name: close_time dtype: duration[us] splits: - name: train num_bytes: 12125043 num_examples: 1000 download_size: 3282501 dataset_size: 12125043 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "github-issues" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_lloorree__kssht-dahj-70b	2023-09-18T23:52:21.000Z	[ "region:us" ]	open-llm-leaderboard	null	null	null	0	--- pretty_name: Evaluation run of lloorree/kssht-dahj-70b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [lloorree/kssht-dahj-70b](https://huggingface.co/lloorree/kssht-dahj-70b) on the\ \ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_lloorree__kssht-dahj-70b\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-09-18T23:50:58.093131](https://huggingface.co/datasets/open-llm-leaderboard/details_lloorree__kssht-dahj-70b/blob/main/results_2023-09-18T23-50-58.093131.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\": 0.7033014017574061,\n\ \ \"acc_stderr\": 0.03081446175839962,\n \"acc_norm\": 0.7072547203046122,\n\ \ \"acc_norm_stderr\": 0.03078306684205309,\n \"mc1\": 0.42962056303549573,\n\ \ \"mc1_stderr\": 0.017329234580409098,\n \"mc2\": 0.5891645864509103,\n\ \ \"mc2_stderr\": 0.015115214729699759\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6612627986348123,\n \"acc_stderr\": 0.013830568927974332,\n\ \ \"acc_norm\": 0.7081911262798635,\n \"acc_norm_stderr\": 0.013284525292403515\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6867157936666003,\n\ \ \"acc_stderr\": 0.0046288092584835265,\n \"acc_norm\": 0.8730332603067118,\n\ \ \"acc_norm_stderr\": 0.003322552829608905\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\": 0.6592592592592592,\n\ \ \"acc_stderr\": 0.04094376269996793,\n \"acc_norm\": 0.6592592592592592,\n\ \ \"acc_norm_stderr\": 0.04094376269996793\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.8289473684210527,\n \"acc_stderr\": 0.030643607071677098,\n\ \ \"acc_norm\": 0.8289473684210527,\n \"acc_norm_stderr\": 0.030643607071677098\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|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-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7283018867924528,\n \"acc_stderr\": 0.027377706624670713,\n\ \ \"acc_norm\": 0.7283018867924528,\n \"acc_norm_stderr\": 0.027377706624670713\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.8194444444444444,\n\ \ \"acc_stderr\": 0.032166008088022675,\n \"acc_norm\": 0.8194444444444444,\n\ \ \"acc_norm_stderr\": 0.032166008088022675\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\"\ : 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.54,\n\ \ \"acc_norm_stderr\": 0.05009082659620332\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\": 0.6705202312138728,\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\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082635,\n\ \ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082635\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.7021276595744681,\n \"acc_stderr\": 0.029896145682095455,\n\ \ \"acc_norm\": 0.7021276595744681,\n \"acc_norm_stderr\": 0.029896145682095455\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4824561403508772,\n\ \ \"acc_stderr\": 0.0470070803355104,\n \"acc_norm\": 0.4824561403508772,\n\ \ \"acc_norm_stderr\": 0.0470070803355104\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.6413793103448275,\n \"acc_stderr\": 0.03996629574876719,\n\ \ \"acc_norm\": 0.6413793103448275,\n \"acc_norm_stderr\": 0.03996629574876719\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.4470899470899471,\n \"acc_stderr\": 0.025606723995777025,\n \"\ acc_norm\": 0.4470899470899471,\n \"acc_norm_stderr\": 0.025606723995777025\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.5079365079365079,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.5079365079365079,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.05016135580465919\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.8193548387096774,\n\ \ \"acc_stderr\": 0.021886178567172534,\n \"acc_norm\": 0.8193548387096774,\n\ \ \"acc_norm_stderr\": 0.021886178567172534\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.541871921182266,\n \"acc_stderr\": 0.03505630140785741,\n\ \ \"acc_norm\": 0.541871921182266,\n \"acc_norm_stderr\": 0.03505630140785741\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.81,\n \"acc_stderr\": 0.039427724440366234,\n \"acc_norm\"\ : 0.81,\n \"acc_norm_stderr\": 0.039427724440366234\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.8424242424242424,\n \"acc_stderr\": 0.02845038880528437,\n\ \ \"acc_norm\": 0.8424242424242424,\n \"acc_norm_stderr\": 0.02845038880528437\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.8636363636363636,\n \"acc_stderr\": 0.024450155973189835,\n \"\ acc_norm\": 0.8636363636363636,\n \"acc_norm_stderr\": 0.024450155973189835\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9326424870466321,\n \"acc_stderr\": 0.018088393839078912,\n\ \ \"acc_norm\": 0.9326424870466321,\n \"acc_norm_stderr\": 0.018088393839078912\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.7282051282051282,\n \"acc_stderr\": 0.02255655101013236,\n \ \ \"acc_norm\": 0.7282051282051282,\n \"acc_norm_stderr\": 0.02255655101013236\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\": 0.7815126050420168,\n \"acc_stderr\": 0.02684151432295894,\n \ \ \"acc_norm\": 0.7815126050420168,\n \"acc_norm_stderr\": 0.02684151432295894\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.46357615894039733,\n \"acc_stderr\": 0.04071636065944215,\n \"\ acc_norm\": 0.46357615894039733,\n \"acc_norm_stderr\": 0.04071636065944215\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.908256880733945,\n \"acc_stderr\": 0.012376323409137103,\n \"\ acc_norm\": 0.908256880733945,\n \"acc_norm_stderr\": 0.012376323409137103\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5833333333333334,\n \"acc_stderr\": 0.03362277436608043,\n \"\ acc_norm\": 0.5833333333333334,\n \"acc_norm_stderr\": 0.03362277436608043\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.9215686274509803,\n \"acc_stderr\": 0.018869514646658928,\n \"\ acc_norm\": 0.9215686274509803,\n \"acc_norm_stderr\": 0.018869514646658928\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8987341772151899,\n \"acc_stderr\": 0.019637720526065498,\n \ \ \"acc_norm\": 0.8987341772151899,\n \"acc_norm_stderr\": 0.019637720526065498\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.7982062780269058,\n\ \ \"acc_stderr\": 0.02693611191280227,\n \"acc_norm\": 0.7982062780269058,\n\ \ \"acc_norm_stderr\": 0.02693611191280227\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8702290076335878,\n \"acc_stderr\": 0.029473649496907065,\n\ \ \"acc_norm\": 0.8702290076335878,\n \"acc_norm_stderr\": 0.029473649496907065\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8760330578512396,\n \"acc_stderr\": 0.030083098716035202,\n \"\ acc_norm\": 0.8760330578512396,\n \"acc_norm_stderr\": 0.030083098716035202\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8240740740740741,\n\ \ \"acc_stderr\": 0.036809181416738807,\n \"acc_norm\": 0.8240740740740741,\n\ \ \"acc_norm_stderr\": 0.036809181416738807\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.8159509202453987,\n \"acc_stderr\": 0.03044677768797173,\n\ \ \"acc_norm\": 0.8159509202453987,\n \"acc_norm_stderr\": 0.03044677768797173\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\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8931623931623932,\n\ \ \"acc_stderr\": 0.02023714900899093,\n \"acc_norm\": 0.8931623931623932,\n\ \ \"acc_norm_stderr\": 0.02023714900899093\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542127,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542127\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8735632183908046,\n\ \ \"acc_stderr\": 0.011884488905895538,\n \"acc_norm\": 0.8735632183908046,\n\ \ \"acc_norm_stderr\": 0.011884488905895538\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7832369942196532,\n \"acc_stderr\": 0.022183477668412856,\n\ \ \"acc_norm\": 0.7832369942196532,\n \"acc_norm_stderr\": 0.022183477668412856\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.6458100558659218,\n\ \ \"acc_stderr\": 0.015995644947299225,\n \"acc_norm\": 0.6458100558659218,\n\ \ \"acc_norm_stderr\": 0.015995644947299225\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7679738562091504,\n \"acc_stderr\": 0.024170840879340873,\n\ \ \"acc_norm\": 0.7679738562091504,\n \"acc_norm_stderr\": 0.024170840879340873\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.77491961414791,\n\ \ \"acc_stderr\": 0.023720088516179027,\n \"acc_norm\": 0.77491961414791,\n\ \ \"acc_norm_stderr\": 0.023720088516179027\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.8240740740740741,\n \"acc_stderr\": 0.021185893615225184,\n\ \ \"acc_norm\": 0.8240740740740741,\n \"acc_norm_stderr\": 0.021185893615225184\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.574468085106383,\n \"acc_stderr\": 0.029494827600144366,\n \ \ \"acc_norm\": 0.574468085106383,\n \"acc_norm_stderr\": 0.029494827600144366\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.5612777053455019,\n\ \ \"acc_stderr\": 0.012673969883493268,\n \"acc_norm\": 0.5612777053455019,\n\ \ \"acc_norm_stderr\": 0.012673969883493268\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.7389705882352942,\n \"acc_stderr\": 0.02667925227010314,\n\ \ \"acc_norm\": 0.7389705882352942,\n \"acc_norm_stderr\": 0.02667925227010314\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.7696078431372549,\n \"acc_stderr\": 0.01703522925803403,\n \ \ \"acc_norm\": 0.7696078431372549,\n \"acc_norm_stderr\": 0.01703522925803403\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7090909090909091,\n\ \ \"acc_stderr\": 0.04350271442923243,\n \"acc_norm\": 0.7090909090909091,\n\ \ \"acc_norm_stderr\": 0.04350271442923243\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.8122448979591836,\n \"acc_stderr\": 0.025000256039546195,\n\ \ \"acc_norm\": 0.8122448979591836,\n \"acc_norm_stderr\": 0.025000256039546195\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8955223880597015,\n\ \ \"acc_stderr\": 0.021628920516700637,\n \"acc_norm\": 0.8955223880597015,\n\ \ \"acc_norm_stderr\": 0.021628920516700637\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\": 0.5481927710843374,\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\": 0.8713450292397661,\n \"acc_stderr\": 0.025679342723276915,\n\ \ \"acc_norm\": 0.8713450292397661,\n \"acc_norm_stderr\": 0.025679342723276915\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.42962056303549573,\n\ \ \"mc1_stderr\": 0.017329234580409098,\n \"mc2\": 0.5891645864509103,\n\ \ \"mc2_stderr\": 0.015115214729699759\n }\n}\n```" repo_url: https://huggingface.co/lloorree/kssht-dahj-70b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|arc:challenge\|25_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hellaswag\|10_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-18T23-50-58.093131.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_18T23_50_58.093131 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-18T23-50-58.093131.parquet' - config_name: results data_files: - split: 2023_09_18T23_50_58.093131 path: - results_2023-09-18T23-50-58.093131.parquet - split: latest path: - results_2023-09-18T23-50-58.093131.parquet --- # Dataset Card for Evaluation run of lloorree/kssht-dahj-70b ## Dataset Description - Homepage: - Repository: https://huggingface.co/lloorree/kssht-dahj-70b - 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 [lloorree/kssht-dahj-70b](https://huggingface.co/lloorree/kssht-dahj-70b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_lloorree__kssht-dahj-70b", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-09-18T23:50:58.093131](https://huggingface.co/datasets/open-llm-leaderboard/details_lloorree__kssht-dahj-70b/blob/main/results_2023-09-18T23-50-58.093131.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": 0.7033014017574061, "acc_stderr": 0.03081446175839962, "acc_norm": 0.7072547203046122, "acc_norm_stderr": 0.03078306684205309, "mc1": 0.42962056303549573, "mc1_stderr": 0.017329234580409098, "mc2": 0.5891645864509103, "mc2_stderr": 0.015115214729699759 }, "harness\|arc:challenge\|25": { "acc": 0.6612627986348123, "acc_stderr": 0.013830568927974332, "acc_norm": 0.7081911262798635, "acc_norm_stderr": 0.013284525292403515 }, "harness\|hellaswag\|10": { "acc": 0.6867157936666003, "acc_stderr": 0.0046288092584835265, "acc_norm": 0.8730332603067118, "acc_norm_stderr": 0.003322552829608905 }, "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": 0.6592592592592592, "acc_stderr": 0.04094376269996793, "acc_norm": 0.6592592592592592, "acc_norm_stderr": 0.04094376269996793 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.8289473684210527, "acc_stderr": 0.030643607071677098, "acc_norm": 0.8289473684210527, "acc_norm_stderr": 0.030643607071677098 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.76, "acc_stderr": 0.04292346959909283, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909283 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7283018867924528, "acc_stderr": 0.027377706624670713, "acc_norm": 0.7283018867924528, "acc_norm_stderr": 0.027377706624670713 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.8194444444444444, "acc_stderr": 0.032166008088022675, "acc_norm": 0.8194444444444444, "acc_norm_stderr": 0.032166008088022675 }, "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": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "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": 0.6705202312138728, "acc_stderr": 0.03583901754736412, "acc_norm": 0.6705202312138728, "acc_norm_stderr": 0.03583901754736412 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.37254901960784315, "acc_stderr": 0.04810840148082635, "acc_norm": 0.37254901960784315, "acc_norm_stderr": 0.04810840148082635 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.7021276595744681, "acc_stderr": 0.029896145682095455, "acc_norm": 0.7021276595744681, "acc_norm_stderr": 0.029896145682095455 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4824561403508772, "acc_stderr": 0.0470070803355104, "acc_norm": 0.4824561403508772, "acc_norm_stderr": 0.0470070803355104 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.6413793103448275, "acc_stderr": 0.03996629574876719, "acc_norm": 0.6413793103448275, "acc_norm_stderr": 0.03996629574876719 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.4470899470899471, "acc_stderr": 0.025606723995777025, "acc_norm": 0.4470899470899471, "acc_norm_stderr": 0.025606723995777025 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.5079365079365079, "acc_stderr": 0.044715725362943486, "acc_norm": 0.5079365079365079, "acc_norm_stderr": 0.044715725362943486 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.8193548387096774, "acc_stderr": 0.021886178567172534, "acc_norm": 0.8193548387096774, "acc_norm_stderr": 0.021886178567172534 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.541871921182266, "acc_stderr": 0.03505630140785741, "acc_norm": 0.541871921182266, "acc_norm_stderr": 0.03505630140785741 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.81, "acc_stderr": 0.039427724440366234, "acc_norm": 0.81, "acc_norm_stderr": 0.039427724440366234 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.8424242424242424, "acc_stderr": 0.02845038880528437, "acc_norm": 0.8424242424242424, "acc_norm_stderr": 0.02845038880528437 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.8636363636363636, "acc_stderr": 0.024450155973189835, "acc_norm": 0.8636363636363636, "acc_norm_stderr": 0.024450155973189835 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9326424870466321, "acc_stderr": 0.018088393839078912, "acc_norm": 0.9326424870466321, "acc_norm_stderr": 0.018088393839078912 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.7282051282051282, "acc_stderr": 0.02255655101013236, "acc_norm": 0.7282051282051282, "acc_norm_stderr": 0.02255655101013236 }, "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": 0.7815126050420168, "acc_stderr": 0.02684151432295894, "acc_norm": 0.7815126050420168, "acc_norm_stderr": 0.02684151432295894 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.46357615894039733, "acc_stderr": 0.04071636065944215, "acc_norm": 0.46357615894039733, "acc_norm_stderr": 0.04071636065944215 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.908256880733945, "acc_stderr": 0.012376323409137103, "acc_norm": 0.908256880733945, "acc_norm_stderr": 0.012376323409137103 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5833333333333334, "acc_stderr": 0.03362277436608043, "acc_norm": 0.5833333333333334, "acc_norm_stderr": 0.03362277436608043 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.9215686274509803, "acc_stderr": 0.018869514646658928, "acc_norm": 0.9215686274509803, "acc_norm_stderr": 0.018869514646658928 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8987341772151899, "acc_stderr": 0.019637720526065498, "acc_norm": 0.8987341772151899, "acc_norm_stderr": 0.019637720526065498 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.7982062780269058, "acc_stderr": 0.02693611191280227, "acc_norm": 0.7982062780269058, "acc_norm_stderr": 0.02693611191280227 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8702290076335878, "acc_stderr": 0.029473649496907065, "acc_norm": 0.8702290076335878, "acc_norm_stderr": 0.029473649496907065 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8760330578512396, "acc_stderr": 0.030083098716035202, "acc_norm": 0.8760330578512396, "acc_norm_stderr": 0.030083098716035202 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8240740740740741, "acc_stderr": 0.036809181416738807, "acc_norm": 0.8240740740740741, "acc_norm_stderr": 0.036809181416738807 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.8159509202453987, "acc_stderr": 0.03044677768797173, "acc_norm": 0.8159509202453987, "acc_norm_stderr": 0.03044677768797173 }, "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": 0.8155339805825242, "acc_stderr": 0.03840423627288276, "acc_norm": 0.8155339805825242, "acc_norm_stderr": 0.03840423627288276 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8931623931623932, "acc_stderr": 0.02023714900899093, "acc_norm": 0.8931623931623932, "acc_norm_stderr": 0.02023714900899093 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.72, "acc_stderr": 0.04512608598542127, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542127 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8735632183908046, "acc_stderr": 0.011884488905895538, "acc_norm": 0.8735632183908046, "acc_norm_stderr": 0.011884488905895538 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7832369942196532, "acc_stderr": 0.022183477668412856, "acc_norm": 0.7832369942196532, "acc_norm_stderr": 0.022183477668412856 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.6458100558659218, "acc_stderr": 0.015995644947299225, "acc_norm": 0.6458100558659218, "acc_norm_stderr": 0.015995644947299225 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7679738562091504, "acc_stderr": 0.024170840879340873, "acc_norm": 0.7679738562091504, "acc_norm_stderr": 0.024170840879340873 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.77491961414791, "acc_stderr": 0.023720088516179027, "acc_norm": 0.77491961414791, "acc_norm_stderr": 0.023720088516179027 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.8240740740740741, "acc_stderr": 0.021185893615225184, "acc_norm": 0.8240740740740741, "acc_norm_stderr": 0.021185893615225184 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.574468085106383, "acc_stderr": 0.029494827600144366, "acc_norm": 0.574468085106383, "acc_norm_stderr": 0.029494827600144366 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.5612777053455019, "acc_stderr": 0.012673969883493268, "acc_norm": 0.5612777053455019, "acc_norm_stderr": 0.012673969883493268 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.7389705882352942, "acc_stderr": 0.02667925227010314, "acc_norm": 0.7389705882352942, "acc_norm_stderr": 0.02667925227010314 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.7696078431372549, "acc_stderr": 0.01703522925803403, "acc_norm": 0.7696078431372549, "acc_norm_stderr": 0.01703522925803403 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7090909090909091, "acc_stderr": 0.04350271442923243, "acc_norm": 0.7090909090909091, "acc_norm_stderr": 0.04350271442923243 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.8122448979591836, "acc_stderr": 0.025000256039546195, "acc_norm": 0.8122448979591836, "acc_norm_stderr": 0.025000256039546195 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8955223880597015, "acc_stderr": 0.021628920516700637, "acc_norm": 0.8955223880597015, "acc_norm_stderr": 0.021628920516700637 }, "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": 0.5481927710843374, "acc_stderr": 0.03874371556587953, "acc_norm": 0.5481927710843374, "acc_norm_stderr": 0.03874371556587953 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8713450292397661, "acc_stderr": 0.025679342723276915, "acc_norm": 0.8713450292397661, "acc_norm_stderr": 0.025679342723276915 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.42962056303549573, "mc1_stderr": 0.017329234580409098, "mc2": 0.5891645864509103, "mc2_stderr": 0.015115214729699759 } } ``` ### 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_lloorree__kssht-castor-70b	2023-09-18T23:56:08.000Z	[ "region:us" ]	open-llm-leaderboard	null	null	null	0	--- pretty_name: Evaluation run of lloorree/kssht-castor-70b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [lloorree/kssht-castor-70b](https://huggingface.co/lloorree/kssht-castor-70b)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_lloorree__kssht-castor-70b\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-09-18T23:54:47.734205](https://huggingface.co/datasets/open-llm-leaderboard/details_lloorree__kssht-castor-70b/blob/main/results_2023-09-18T23-54-47.734205.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\": 0.7025630433354887,\n\ \ \"acc_stderr\": 0.03070323641112233,\n \"acc_norm\": 0.7065431366848456,\n\ \ \"acc_norm_stderr\": 0.03067233267965294,\n \"mc1\": 0.40024479804161567,\n\ \ \"mc1_stderr\": 0.01715160555574914,\n \"mc2\": 0.5630669446354012,\n\ \ \"mc2_stderr\": 0.014865953800030475\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6501706484641638,\n \"acc_stderr\": 0.01393680921215829,\n\ \ \"acc_norm\": 0.6953924914675768,\n \"acc_norm_stderr\": 0.01344952210993249\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6857199761003784,\n\ \ \"acc_stderr\": 0.004632797375289762,\n \"acc_norm\": 0.8753236407090221,\n\ \ \"acc_norm_stderr\": 0.003296764320821918\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\": 0.6518518518518519,\n\ \ \"acc_stderr\": 0.041153246103369526,\n \"acc_norm\": 0.6518518518518519,\n\ \ \"acc_norm_stderr\": 0.041153246103369526\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.8486842105263158,\n \"acc_stderr\": 0.02916263159684399,\n\ \ \"acc_norm\": 0.8486842105263158,\n \"acc_norm_stderr\": 0.02916263159684399\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|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-clinical_knowledge\|5\"\ : {\n \"acc\": 0.720754716981132,\n \"acc_stderr\": 0.027611163402399715,\n\ \ \"acc_norm\": 0.720754716981132,\n \"acc_norm_stderr\": 0.027611163402399715\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.8472222222222222,\n\ \ \"acc_stderr\": 0.030085743248565666,\n \"acc_norm\": 0.8472222222222222,\n\ \ \"acc_norm_stderr\": 0.030085743248565666\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n\ \ \"acc_norm_stderr\": 0.04988876515698589\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\": 0.6473988439306358,\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\": 0.35294117647058826,\n \"acc_stderr\": 0.047551296160629475,\n\ \ \"acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.047551296160629475\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932262,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932262\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.6978723404255319,\n \"acc_stderr\": 0.030017554471880557,\n\ \ \"acc_norm\": 0.6978723404255319,\n \"acc_norm_stderr\": 0.030017554471880557\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4649122807017544,\n\ \ \"acc_stderr\": 0.04692008381368909,\n \"acc_norm\": 0.4649122807017544,\n\ \ \"acc_norm_stderr\": 0.04692008381368909\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.6551724137931034,\n \"acc_stderr\": 0.03960933549451207,\n\ \ \"acc_norm\": 0.6551724137931034,\n \"acc_norm_stderr\": 0.03960933549451207\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.4365079365079365,\n \"acc_stderr\": 0.0255428468174005,\n \"acc_norm\"\ : 0.4365079365079365,\n \"acc_norm_stderr\": 0.0255428468174005\n },\n\ \ \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.48412698412698413,\n\ \ \"acc_stderr\": 0.04469881854072606,\n \"acc_norm\": 0.48412698412698413,\n\ \ \"acc_norm_stderr\": 0.04469881854072606\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\"\ : 0.8193548387096774,\n \"acc_stderr\": 0.021886178567172523,\n \"\ acc_norm\": 0.8193548387096774,\n \"acc_norm_stderr\": 0.021886178567172523\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.5566502463054187,\n \"acc_stderr\": 0.03495334582162933,\n \"\ acc_norm\": 0.5566502463054187,\n \"acc_norm_stderr\": 0.03495334582162933\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|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-high_school_european_history\|5\"\ : {\n \"acc\": 0.8303030303030303,\n \"acc_stderr\": 0.029311188674983134,\n\ \ \"acc_norm\": 0.8303030303030303,\n \"acc_norm_stderr\": 0.029311188674983134\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.8737373737373737,\n \"acc_stderr\": 0.023664359402880236,\n \"\ acc_norm\": 0.8737373737373737,\n \"acc_norm_stderr\": 0.023664359402880236\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9430051813471503,\n \"acc_stderr\": 0.016731085293607555,\n\ \ \"acc_norm\": 0.9430051813471503,\n \"acc_norm_stderr\": 0.016731085293607555\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.7128205128205128,\n \"acc_stderr\": 0.022939925418530616,\n\ \ \"acc_norm\": 0.7128205128205128,\n \"acc_norm_stderr\": 0.022939925418530616\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.34074074074074073,\n \"acc_stderr\": 0.028897748741131143,\n \ \ \"acc_norm\": 0.34074074074074073,\n \"acc_norm_stderr\": 0.028897748741131143\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.7647058823529411,\n \"acc_stderr\": 0.027553614467863804,\n\ \ \"acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.027553614467863804\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.47019867549668876,\n \"acc_stderr\": 0.040752249922169775,\n \"\ acc_norm\": 0.47019867549668876,\n \"acc_norm_stderr\": 0.040752249922169775\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.9027522935779817,\n \"acc_stderr\": 0.012703533408540366,\n \"\ acc_norm\": 0.9027522935779817,\n \"acc_norm_stderr\": 0.012703533408540366\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.6064814814814815,\n \"acc_stderr\": 0.03331747876370312,\n \"\ acc_norm\": 0.6064814814814815,\n \"acc_norm_stderr\": 0.03331747876370312\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.9264705882352942,\n \"acc_stderr\": 0.01831885585008968,\n \"\ acc_norm\": 0.9264705882352942,\n \"acc_norm_stderr\": 0.01831885585008968\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8860759493670886,\n \"acc_stderr\": 0.020681745135884565,\n \ \ \"acc_norm\": 0.8860759493670886,\n \"acc_norm_stderr\": 0.020681745135884565\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.7937219730941704,\n\ \ \"acc_stderr\": 0.02715715047956382,\n \"acc_norm\": 0.7937219730941704,\n\ \ \"acc_norm_stderr\": 0.02715715047956382\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8778625954198473,\n \"acc_stderr\": 0.028718776889342337,\n\ \ \"acc_norm\": 0.8778625954198473,\n \"acc_norm_stderr\": 0.028718776889342337\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8760330578512396,\n \"acc_stderr\": 0.030083098716035202,\n \"\ acc_norm\": 0.8760330578512396,\n \"acc_norm_stderr\": 0.030083098716035202\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8425925925925926,\n\ \ \"acc_stderr\": 0.035207039905179635,\n \"acc_norm\": 0.8425925925925926,\n\ \ \"acc_norm_stderr\": 0.035207039905179635\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.8159509202453987,\n \"acc_stderr\": 0.03044677768797173,\n\ \ \"acc_norm\": 0.8159509202453987,\n \"acc_norm_stderr\": 0.03044677768797173\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\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.905982905982906,\n\ \ \"acc_stderr\": 0.01911989279892498,\n \"acc_norm\": 0.905982905982906,\n\ \ \"acc_norm_stderr\": 0.01911989279892498\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542126,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542126\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8684546615581098,\n\ \ \"acc_stderr\": 0.01208670521425043,\n \"acc_norm\": 0.8684546615581098,\n\ \ \"acc_norm_stderr\": 0.01208670521425043\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.791907514450867,\n \"acc_stderr\": 0.021855255263421795,\n\ \ \"acc_norm\": 0.791907514450867,\n \"acc_norm_stderr\": 0.021855255263421795\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.5463687150837989,\n\ \ \"acc_stderr\": 0.016650437588269076,\n \"acc_norm\": 0.5463687150837989,\n\ \ \"acc_norm_stderr\": 0.016650437588269076\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7777777777777778,\n \"acc_stderr\": 0.023805186524888156,\n\ \ \"acc_norm\": 0.7777777777777778,\n \"acc_norm_stderr\": 0.023805186524888156\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7717041800643086,\n\ \ \"acc_stderr\": 0.0238393033113982,\n \"acc_norm\": 0.7717041800643086,\n\ \ \"acc_norm_stderr\": 0.0238393033113982\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.8425925925925926,\n \"acc_stderr\": 0.020263764996385717,\n\ \ \"acc_norm\": 0.8425925925925926,\n \"acc_norm_stderr\": 0.020263764996385717\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.5638297872340425,\n \"acc_stderr\": 0.029583452036284076,\n \ \ \"acc_norm\": 0.5638297872340425,\n \"acc_norm_stderr\": 0.029583452036284076\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.5541069100391134,\n\ \ \"acc_stderr\": 0.012695244711379783,\n \"acc_norm\": 0.5541069100391134,\n\ \ \"acc_norm_stderr\": 0.012695244711379783\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.7426470588235294,\n \"acc_stderr\": 0.0265565194700415,\n\ \ \"acc_norm\": 0.7426470588235294,\n \"acc_norm_stderr\": 0.0265565194700415\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.7679738562091504,\n \"acc_stderr\": 0.01707737337785693,\n \ \ \"acc_norm\": 0.7679738562091504,\n \"acc_norm_stderr\": 0.01707737337785693\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7181818181818181,\n\ \ \"acc_stderr\": 0.04309118709946458,\n \"acc_norm\": 0.7181818181818181,\n\ \ \"acc_norm_stderr\": 0.04309118709946458\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.8163265306122449,\n \"acc_stderr\": 0.024789071332007636,\n\ \ \"acc_norm\": 0.8163265306122449,\n \"acc_norm_stderr\": 0.024789071332007636\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8905472636815921,\n\ \ \"acc_stderr\": 0.022076326101824664,\n \"acc_norm\": 0.8905472636815921,\n\ \ \"acc_norm_stderr\": 0.022076326101824664\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.91,\n \"acc_stderr\": 0.028762349126466125,\n \ \ \"acc_norm\": 0.91,\n \"acc_norm_stderr\": 0.028762349126466125\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\": 0.8713450292397661,\n \"acc_stderr\": 0.02567934272327692,\n\ \ \"acc_norm\": 0.8713450292397661,\n \"acc_norm_stderr\": 0.02567934272327692\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.40024479804161567,\n\ \ \"mc1_stderr\": 0.01715160555574914,\n \"mc2\": 0.5630669446354012,\n\ \ \"mc2_stderr\": 0.014865953800030475\n }\n}\n```" repo_url: https://huggingface.co/lloorree/kssht-castor-70b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|arc:challenge\|25_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hellaswag\|10_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-18T23-54-47.734205.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_18T23_54_47.734205 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-18T23-54-47.734205.parquet' - config_name: results data_files: - split: 2023_09_18T23_54_47.734205 path: - results_2023-09-18T23-54-47.734205.parquet - split: latest path: - results_2023-09-18T23-54-47.734205.parquet --- # Dataset Card for Evaluation run of lloorree/kssht-castor-70b ## Dataset Description - Homepage: - Repository: https://huggingface.co/lloorree/kssht-castor-70b - 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 [lloorree/kssht-castor-70b](https://huggingface.co/lloorree/kssht-castor-70b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_lloorree__kssht-castor-70b", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-09-18T23:54:47.734205](https://huggingface.co/datasets/open-llm-leaderboard/details_lloorree__kssht-castor-70b/blob/main/results_2023-09-18T23-54-47.734205.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": 0.7025630433354887, "acc_stderr": 0.03070323641112233, "acc_norm": 0.7065431366848456, "acc_norm_stderr": 0.03067233267965294, "mc1": 0.40024479804161567, "mc1_stderr": 0.01715160555574914, "mc2": 0.5630669446354012, "mc2_stderr": 0.014865953800030475 }, "harness\|arc:challenge\|25": { "acc": 0.6501706484641638, "acc_stderr": 0.01393680921215829, "acc_norm": 0.6953924914675768, "acc_norm_stderr": 0.01344952210993249 }, "harness\|hellaswag\|10": { "acc": 0.6857199761003784, "acc_stderr": 0.004632797375289762, "acc_norm": 0.8753236407090221, "acc_norm_stderr": 0.003296764320821918 }, "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": 0.6518518518518519, "acc_stderr": 0.041153246103369526, "acc_norm": 0.6518518518518519, "acc_norm_stderr": 0.041153246103369526 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.8486842105263158, "acc_stderr": 0.02916263159684399, "acc_norm": 0.8486842105263158, "acc_norm_stderr": 0.02916263159684399 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.720754716981132, "acc_stderr": 0.027611163402399715, "acc_norm": 0.720754716981132, "acc_norm_stderr": 0.027611163402399715 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.8472222222222222, "acc_stderr": 0.030085743248565666, "acc_norm": 0.8472222222222222, "acc_norm_stderr": 0.030085743248565666 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "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": 0.6473988439306358, "acc_stderr": 0.036430371689585475, "acc_norm": 0.6473988439306358, "acc_norm_stderr": 0.036430371689585475 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.35294117647058826, "acc_stderr": 0.047551296160629475, "acc_norm": 0.35294117647058826, "acc_norm_stderr": 0.047551296160629475 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.78, "acc_stderr": 0.04163331998932262, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932262 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.6978723404255319, "acc_stderr": 0.030017554471880557, "acc_norm": 0.6978723404255319, "acc_norm_stderr": 0.030017554471880557 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4649122807017544, "acc_stderr": 0.04692008381368909, "acc_norm": 0.4649122807017544, "acc_norm_stderr": 0.04692008381368909 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.6551724137931034, "acc_stderr": 0.03960933549451207, "acc_norm": 0.6551724137931034, "acc_norm_stderr": 0.03960933549451207 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.4365079365079365, "acc_stderr": 0.0255428468174005, "acc_norm": 0.4365079365079365, "acc_norm_stderr": 0.0255428468174005 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.48412698412698413, "acc_stderr": 0.04469881854072606, "acc_norm": 0.48412698412698413, "acc_norm_stderr": 0.04469881854072606 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.8193548387096774, "acc_stderr": 0.021886178567172523, "acc_norm": 0.8193548387096774, "acc_norm_stderr": 0.021886178567172523 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5566502463054187, "acc_stderr": 0.03495334582162933, "acc_norm": 0.5566502463054187, "acc_norm_stderr": 0.03495334582162933 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.77, "acc_stderr": 0.04229525846816506, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816506 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.8303030303030303, "acc_stderr": 0.029311188674983134, "acc_norm": 0.8303030303030303, "acc_norm_stderr": 0.029311188674983134 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.8737373737373737, "acc_stderr": 0.023664359402880236, "acc_norm": 0.8737373737373737, "acc_norm_stderr": 0.023664359402880236 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9430051813471503, "acc_stderr": 0.016731085293607555, "acc_norm": 0.9430051813471503, "acc_norm_stderr": 0.016731085293607555 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.7128205128205128, "acc_stderr": 0.022939925418530616, "acc_norm": 0.7128205128205128, "acc_norm_stderr": 0.022939925418530616 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.34074074074074073, "acc_stderr": 0.028897748741131143, "acc_norm": 0.34074074074074073, "acc_norm_stderr": 0.028897748741131143 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.7647058823529411, "acc_stderr": 0.027553614467863804, "acc_norm": 0.7647058823529411, "acc_norm_stderr": 0.027553614467863804 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.47019867549668876, "acc_stderr": 0.040752249922169775, "acc_norm": 0.47019867549668876, "acc_norm_stderr": 0.040752249922169775 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.9027522935779817, "acc_stderr": 0.012703533408540366, "acc_norm": 0.9027522935779817, "acc_norm_stderr": 0.012703533408540366 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.6064814814814815, "acc_stderr": 0.03331747876370312, "acc_norm": 0.6064814814814815, "acc_norm_stderr": 0.03331747876370312 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.9264705882352942, "acc_stderr": 0.01831885585008968, "acc_norm": 0.9264705882352942, "acc_norm_stderr": 0.01831885585008968 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8860759493670886, "acc_stderr": 0.020681745135884565, "acc_norm": 0.8860759493670886, "acc_norm_stderr": 0.020681745135884565 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.7937219730941704, "acc_stderr": 0.02715715047956382, "acc_norm": 0.7937219730941704, "acc_norm_stderr": 0.02715715047956382 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8778625954198473, "acc_stderr": 0.028718776889342337, "acc_norm": 0.8778625954198473, "acc_norm_stderr": 0.028718776889342337 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8760330578512396, "acc_stderr": 0.030083098716035202, "acc_norm": 0.8760330578512396, "acc_norm_stderr": 0.030083098716035202 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8425925925925926, "acc_stderr": 0.035207039905179635, "acc_norm": 0.8425925925925926, "acc_norm_stderr": 0.035207039905179635 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.8159509202453987, "acc_stderr": 0.03044677768797173, "acc_norm": 0.8159509202453987, "acc_norm_stderr": 0.03044677768797173 }, "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": 0.8155339805825242, "acc_stderr": 0.03840423627288276, "acc_norm": 0.8155339805825242, "acc_norm_stderr": 0.03840423627288276 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.905982905982906, "acc_stderr": 0.01911989279892498, "acc_norm": 0.905982905982906, "acc_norm_stderr": 0.01911989279892498 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.72, "acc_stderr": 0.04512608598542126, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542126 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8684546615581098, "acc_stderr": 0.01208670521425043, "acc_norm": 0.8684546615581098, "acc_norm_stderr": 0.01208670521425043 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.791907514450867, "acc_stderr": 0.021855255263421795, "acc_norm": 0.791907514450867, "acc_norm_stderr": 0.021855255263421795 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.5463687150837989, "acc_stderr": 0.016650437588269076, "acc_norm": 0.5463687150837989, "acc_norm_stderr": 0.016650437588269076 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7777777777777778, "acc_stderr": 0.023805186524888156, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.023805186524888156 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7717041800643086, "acc_stderr": 0.0238393033113982, "acc_norm": 0.7717041800643086, "acc_norm_stderr": 0.0238393033113982 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.8425925925925926, "acc_stderr": 0.020263764996385717, "acc_norm": 0.8425925925925926, "acc_norm_stderr": 0.020263764996385717 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.5638297872340425, "acc_stderr": 0.029583452036284076, "acc_norm": 0.5638297872340425, "acc_norm_stderr": 0.029583452036284076 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.5541069100391134, "acc_stderr": 0.012695244711379783, "acc_norm": 0.5541069100391134, "acc_norm_stderr": 0.012695244711379783 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.7426470588235294, "acc_stderr": 0.0265565194700415, "acc_norm": 0.7426470588235294, "acc_norm_stderr": 0.0265565194700415 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.7679738562091504, "acc_stderr": 0.01707737337785693, "acc_norm": 0.7679738562091504, "acc_norm_stderr": 0.01707737337785693 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7181818181818181, "acc_stderr": 0.04309118709946458, "acc_norm": 0.7181818181818181, "acc_norm_stderr": 0.04309118709946458 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.8163265306122449, "acc_stderr": 0.024789071332007636, "acc_norm": 0.8163265306122449, "acc_norm_stderr": 0.024789071332007636 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8905472636815921, "acc_stderr": 0.022076326101824664, "acc_norm": 0.8905472636815921, "acc_norm_stderr": 0.022076326101824664 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.91, "acc_stderr": 0.028762349126466125, "acc_norm": 0.91, "acc_norm_stderr": 0.028762349126466125 }, "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": 0.8713450292397661, "acc_stderr": 0.02567934272327692, "acc_norm": 0.8713450292397661, "acc_norm_stderr": 0.02567934272327692 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.40024479804161567, "mc1_stderr": 0.01715160555574914, "mc2": 0.5630669446354012, "mc2_stderr": 0.014865953800030475 } } ``` ### 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]
untilthend/kye	2023-09-19T00:08:03.000Z	[ "license:openrail", "region:us" ]	untilthend	null	null	null	0	--- license: openrail ---
Kinuko4/Kinuko4	2023-09-19T00:10:56.000Z	[ "region:us" ]	Kinuko4	null	null	null	0	Entry not found
open-llm-leaderboard/details_lloorree__kssht-euripedes-70b	2023-09-19T00:14:01.000Z	[ "region:us" ]	open-llm-leaderboard	null	null	null	0	--- pretty_name: Evaluation run of lloorree/kssht-euripedes-70b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [lloorree/kssht-euripedes-70b](https://huggingface.co/lloorree/kssht-euripedes-70b)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_lloorree__kssht-euripedes-70b\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-09-19T00:12:39.048571](https://huggingface.co/datasets/open-llm-leaderboard/details_lloorree__kssht-euripedes-70b/blob/main/results_2023-09-19T00-12-39.048571.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\": 0.7032771782081723,\n\ \ \"acc_stderr\": 0.030834102504125972,\n \"acc_norm\": 0.70714084898032,\n\ \ \"acc_norm_stderr\": 0.030804015376568177,\n \"mc1\": 0.3953488372093023,\n\ \ \"mc1_stderr\": 0.017115815632418197,\n \"mc2\": 0.5551008582453495,\n\ \ \"mc2_stderr\": 0.014893190834168417\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.658703071672355,\n \"acc_stderr\": 0.013855831287497723,\n\ \ \"acc_norm\": 0.6979522184300341,\n \"acc_norm_stderr\": 0.013417519144716413\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6872137024497113,\n\ \ \"acc_stderr\": 0.004626805906522211,\n \"acc_norm\": 0.8759211312487553,\n\ \ \"acc_norm_stderr\": 0.0032899775233939097\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6592592592592592,\n\ \ \"acc_stderr\": 0.04094376269996794,\n \"acc_norm\": 0.6592592592592592,\n\ \ \"acc_norm_stderr\": 0.04094376269996794\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.8092105263157895,\n \"acc_stderr\": 0.031975658210325,\n\ \ \"acc_norm\": 0.8092105263157895,\n \"acc_norm_stderr\": 0.031975658210325\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.77,\n\ \ \"acc_stderr\": 0.04229525846816505,\n \"acc_norm\": 0.77,\n \ \ \"acc_norm_stderr\": 0.04229525846816505\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.720754716981132,\n \"acc_stderr\": 0.027611163402399715,\n\ \ \"acc_norm\": 0.720754716981132,\n \"acc_norm_stderr\": 0.027611163402399715\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.8333333333333334,\n\ \ \"acc_stderr\": 0.031164899666948617,\n \"acc_norm\": 0.8333333333333334,\n\ \ \"acc_norm_stderr\": 0.031164899666948617\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\": 0.57,\n \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\"\ : 0.57,\n \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\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\": 0.39215686274509803,\n \"acc_stderr\": 0.04858083574266345,\n\ \ \"acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.04858083574266345\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\": 0.6723404255319149,\n \"acc_stderr\": 0.030683020843231004,\n\ \ \"acc_norm\": 0.6723404255319149,\n \"acc_norm_stderr\": 0.030683020843231004\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4649122807017544,\n\ \ \"acc_stderr\": 0.04692008381368909,\n \"acc_norm\": 0.4649122807017544,\n\ \ \"acc_norm_stderr\": 0.04692008381368909\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.6620689655172414,\n \"acc_stderr\": 0.039417076320648906,\n\ \ \"acc_norm\": 0.6620689655172414,\n \"acc_norm_stderr\": 0.039417076320648906\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.4444444444444444,\n \"acc_stderr\": 0.02559185776138218,\n \"\ acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.02559185776138218\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.49206349206349204,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.49206349206349204,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \ \ \"acc_norm\": 0.53,\n \"acc_norm_stderr\": 0.050161355804659205\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.8129032258064516,\n \"acc_stderr\": 0.02218571009225225,\n \"\ acc_norm\": 0.8129032258064516,\n \"acc_norm_stderr\": 0.02218571009225225\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.5566502463054187,\n \"acc_stderr\": 0.03495334582162933,\n \"\ acc_norm\": 0.5566502463054187,\n \"acc_norm_stderr\": 0.03495334582162933\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.76,\n \"acc_stderr\": 0.04292346959909281,\n \"acc_norm\"\ : 0.76,\n \"acc_norm_stderr\": 0.04292346959909281\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.8363636363636363,\n \"acc_stderr\": 0.02888787239548795,\n\ \ \"acc_norm\": 0.8363636363636363,\n \"acc_norm_stderr\": 0.02888787239548795\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.8686868686868687,\n \"acc_stderr\": 0.02406315641682252,\n \"\ acc_norm\": 0.8686868686868687,\n \"acc_norm_stderr\": 0.02406315641682252\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9222797927461139,\n \"acc_stderr\": 0.019321805557223157,\n\ \ \"acc_norm\": 0.9222797927461139,\n \"acc_norm_stderr\": 0.019321805557223157\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.7230769230769231,\n \"acc_stderr\": 0.022688042352424994,\n\ \ \"acc_norm\": 0.7230769230769231,\n \"acc_norm_stderr\": 0.022688042352424994\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253255,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253255\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.7605042016806722,\n \"acc_stderr\": 0.027722065493361276,\n\ \ \"acc_norm\": 0.7605042016806722,\n \"acc_norm_stderr\": 0.027722065493361276\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.47019867549668876,\n \"acc_stderr\": 0.040752249922169775,\n \"\ acc_norm\": 0.47019867549668876,\n \"acc_norm_stderr\": 0.040752249922169775\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8972477064220183,\n \"acc_stderr\": 0.013018246509173768,\n \"\ acc_norm\": 0.8972477064220183,\n \"acc_norm_stderr\": 0.013018246509173768\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5972222222222222,\n \"acc_stderr\": 0.03344887382997866,\n \"\ acc_norm\": 0.5972222222222222,\n \"acc_norm_stderr\": 0.03344887382997866\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.9264705882352942,\n \"acc_stderr\": 0.018318855850089678,\n \"\ acc_norm\": 0.9264705882352942,\n \"acc_norm_stderr\": 0.018318855850089678\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.890295358649789,\n \"acc_stderr\": 0.020343400734868834,\n \ \ \"acc_norm\": 0.890295358649789,\n \"acc_norm_stderr\": 0.020343400734868834\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.7937219730941704,\n\ \ \"acc_stderr\": 0.02715715047956382,\n \"acc_norm\": 0.7937219730941704,\n\ \ \"acc_norm_stderr\": 0.02715715047956382\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8778625954198473,\n \"acc_stderr\": 0.028718776889342337,\n\ \ \"acc_norm\": 0.8778625954198473,\n \"acc_norm_stderr\": 0.028718776889342337\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8677685950413223,\n \"acc_stderr\": 0.03092278832044579,\n \"\ acc_norm\": 0.8677685950413223,\n \"acc_norm_stderr\": 0.03092278832044579\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8518518518518519,\n\ \ \"acc_stderr\": 0.03434300243631001,\n \"acc_norm\": 0.8518518518518519,\n\ \ \"acc_norm_stderr\": 0.03434300243631001\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.803680981595092,\n \"acc_stderr\": 0.031207970394709218,\n\ \ \"acc_norm\": 0.803680981595092,\n \"acc_norm_stderr\": 0.031207970394709218\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5446428571428571,\n\ \ \"acc_stderr\": 0.04726835553719098,\n \"acc_norm\": 0.5446428571428571,\n\ \ \"acc_norm_stderr\": 0.04726835553719098\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\": 0.9017094017094017,\n\ \ \"acc_stderr\": 0.019503444900757567,\n \"acc_norm\": 0.9017094017094017,\n\ \ \"acc_norm_stderr\": 0.019503444900757567\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\": 0.8620689655172413,\n\ \ \"acc_stderr\": 0.012331009307795656,\n \"acc_norm\": 0.8620689655172413,\n\ \ \"acc_norm_stderr\": 0.012331009307795656\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7947976878612717,\n \"acc_stderr\": 0.021742519835276274,\n\ \ \"acc_norm\": 0.7947976878612717,\n \"acc_norm_stderr\": 0.021742519835276274\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.5575418994413408,\n\ \ \"acc_stderr\": 0.016611393687268574,\n \"acc_norm\": 0.5575418994413408,\n\ \ \"acc_norm_stderr\": 0.016611393687268574\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7679738562091504,\n \"acc_stderr\": 0.024170840879340873,\n\ \ \"acc_norm\": 0.7679738562091504,\n \"acc_norm_stderr\": 0.024170840879340873\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7717041800643086,\n\ \ \"acc_stderr\": 0.0238393033113982,\n \"acc_norm\": 0.7717041800643086,\n\ \ \"acc_norm_stderr\": 0.0238393033113982\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.8395061728395061,\n \"acc_stderr\": 0.02042395535477803,\n\ \ \"acc_norm\": 0.8395061728395061,\n \"acc_norm_stderr\": 0.02042395535477803\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.5531914893617021,\n \"acc_stderr\": 0.02965823509766691,\n \ \ \"acc_norm\": 0.5531914893617021,\n \"acc_norm_stderr\": 0.02965823509766691\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.5580182529335072,\n\ \ \"acc_stderr\": 0.012683972513598827,\n \"acc_norm\": 0.5580182529335072,\n\ \ \"acc_norm_stderr\": 0.012683972513598827\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.7352941176470589,\n \"acc_stderr\": 0.026799562024887657,\n\ \ \"acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.026799562024887657\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.761437908496732,\n \"acc_stderr\": 0.01724238582877962,\n \ \ \"acc_norm\": 0.761437908496732,\n \"acc_norm_stderr\": 0.01724238582877962\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7545454545454545,\n\ \ \"acc_stderr\": 0.041220665028782855,\n \"acc_norm\": 0.7545454545454545,\n\ \ \"acc_norm_stderr\": 0.041220665028782855\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.8122448979591836,\n \"acc_stderr\": 0.025000256039546188,\n\ \ \"acc_norm\": 0.8122448979591836,\n \"acc_norm_stderr\": 0.025000256039546188\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8955223880597015,\n\ \ \"acc_stderr\": 0.021628920516700643,\n \"acc_norm\": 0.8955223880597015,\n\ \ \"acc_norm_stderr\": 0.021628920516700643\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.91,\n \"acc_stderr\": 0.028762349126466125,\n \ \ \"acc_norm\": 0.91,\n \"acc_norm_stderr\": 0.028762349126466125\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\": 0.8596491228070176,\n \"acc_stderr\": 0.0266405825391332,\n\ \ \"acc_norm\": 0.8596491228070176,\n \"acc_norm_stderr\": 0.0266405825391332\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.3953488372093023,\n\ \ \"mc1_stderr\": 0.017115815632418197,\n \"mc2\": 0.5551008582453495,\n\ \ \"mc2_stderr\": 0.014893190834168417\n }\n}\n```" repo_url: https://huggingface.co/lloorree/kssht-euripedes-70b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|arc:challenge\|25_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hellaswag\|10_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-19T00-12-39.048571.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_19T00_12_39.048571 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-19T00-12-39.048571.parquet' - config_name: results data_files: - split: 2023_09_19T00_12_39.048571 path: - results_2023-09-19T00-12-39.048571.parquet - split: latest path: - results_2023-09-19T00-12-39.048571.parquet --- # Dataset Card for Evaluation run of lloorree/kssht-euripedes-70b ## Dataset Description - Homepage: - Repository: https://huggingface.co/lloorree/kssht-euripedes-70b - 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 [lloorree/kssht-euripedes-70b](https://huggingface.co/lloorree/kssht-euripedes-70b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_lloorree__kssht-euripedes-70b", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-09-19T00:12:39.048571](https://huggingface.co/datasets/open-llm-leaderboard/details_lloorree__kssht-euripedes-70b/blob/main/results_2023-09-19T00-12-39.048571.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": 0.7032771782081723, "acc_stderr": 0.030834102504125972, "acc_norm": 0.70714084898032, "acc_norm_stderr": 0.030804015376568177, "mc1": 0.3953488372093023, "mc1_stderr": 0.017115815632418197, "mc2": 0.5551008582453495, "mc2_stderr": 0.014893190834168417 }, "harness\|arc:challenge\|25": { "acc": 0.658703071672355, "acc_stderr": 0.013855831287497723, "acc_norm": 0.6979522184300341, "acc_norm_stderr": 0.013417519144716413 }, "harness\|hellaswag\|10": { "acc": 0.6872137024497113, "acc_stderr": 0.004626805906522211, "acc_norm": 0.8759211312487553, "acc_norm_stderr": 0.0032899775233939097 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6592592592592592, "acc_stderr": 0.04094376269996794, "acc_norm": 0.6592592592592592, "acc_norm_stderr": 0.04094376269996794 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.8092105263157895, "acc_stderr": 0.031975658210325, "acc_norm": 0.8092105263157895, "acc_norm_stderr": 0.031975658210325 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.77, "acc_stderr": 0.04229525846816505, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816505 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.720754716981132, "acc_stderr": 0.027611163402399715, "acc_norm": 0.720754716981132, "acc_norm_stderr": 0.027611163402399715 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.8333333333333334, "acc_stderr": 0.031164899666948617, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.031164899666948617 }, "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": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "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": 0.39215686274509803, "acc_stderr": 0.04858083574266345, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.04858083574266345 }, "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": 0.6723404255319149, "acc_stderr": 0.030683020843231004, "acc_norm": 0.6723404255319149, "acc_norm_stderr": 0.030683020843231004 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4649122807017544, "acc_stderr": 0.04692008381368909, "acc_norm": 0.4649122807017544, "acc_norm_stderr": 0.04692008381368909 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.6620689655172414, "acc_stderr": 0.039417076320648906, "acc_norm": 0.6620689655172414, "acc_norm_stderr": 0.039417076320648906 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.4444444444444444, "acc_stderr": 0.02559185776138218, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.02559185776138218 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.49206349206349204, "acc_stderr": 0.044715725362943486, "acc_norm": 0.49206349206349204, "acc_norm_stderr": 0.044715725362943486 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.53, "acc_stderr": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.8129032258064516, "acc_stderr": 0.02218571009225225, "acc_norm": 0.8129032258064516, "acc_norm_stderr": 0.02218571009225225 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5566502463054187, "acc_stderr": 0.03495334582162933, "acc_norm": 0.5566502463054187, "acc_norm_stderr": 0.03495334582162933 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.76, "acc_stderr": 0.04292346959909281, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909281 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.8363636363636363, "acc_stderr": 0.02888787239548795, "acc_norm": 0.8363636363636363, "acc_norm_stderr": 0.02888787239548795 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.8686868686868687, "acc_stderr": 0.02406315641682252, "acc_norm": 0.8686868686868687, "acc_norm_stderr": 0.02406315641682252 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9222797927461139, "acc_stderr": 0.019321805557223157, "acc_norm": 0.9222797927461139, "acc_norm_stderr": 0.019321805557223157 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.7230769230769231, "acc_stderr": 0.022688042352424994, "acc_norm": 0.7230769230769231, "acc_norm_stderr": 0.022688042352424994 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.337037037037037, "acc_stderr": 0.028820884666253255, "acc_norm": 0.337037037037037, "acc_norm_stderr": 0.028820884666253255 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.7605042016806722, "acc_stderr": 0.027722065493361276, "acc_norm": 0.7605042016806722, "acc_norm_stderr": 0.027722065493361276 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.47019867549668876, "acc_stderr": 0.040752249922169775, "acc_norm": 0.47019867549668876, "acc_norm_stderr": 0.040752249922169775 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8972477064220183, "acc_stderr": 0.013018246509173768, "acc_norm": 0.8972477064220183, "acc_norm_stderr": 0.013018246509173768 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5972222222222222, "acc_stderr": 0.03344887382997866, "acc_norm": 0.5972222222222222, "acc_norm_stderr": 0.03344887382997866 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.9264705882352942, "acc_stderr": 0.018318855850089678, "acc_norm": 0.9264705882352942, "acc_norm_stderr": 0.018318855850089678 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.890295358649789, "acc_stderr": 0.020343400734868834, "acc_norm": 0.890295358649789, "acc_norm_stderr": 0.020343400734868834 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.7937219730941704, "acc_stderr": 0.02715715047956382, "acc_norm": 0.7937219730941704, "acc_norm_stderr": 0.02715715047956382 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8778625954198473, "acc_stderr": 0.028718776889342337, "acc_norm": 0.8778625954198473, "acc_norm_stderr": 0.028718776889342337 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8677685950413223, "acc_stderr": 0.03092278832044579, "acc_norm": 0.8677685950413223, "acc_norm_stderr": 0.03092278832044579 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8518518518518519, "acc_stderr": 0.03434300243631001, "acc_norm": 0.8518518518518519, "acc_norm_stderr": 0.03434300243631001 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.803680981595092, "acc_stderr": 0.031207970394709218, "acc_norm": 0.803680981595092, "acc_norm_stderr": 0.031207970394709218 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.5446428571428571, "acc_stderr": 0.04726835553719098, "acc_norm": 0.5446428571428571, "acc_norm_stderr": 0.04726835553719098 }, "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": 0.9017094017094017, "acc_stderr": 0.019503444900757567, "acc_norm": 0.9017094017094017, "acc_norm_stderr": 0.019503444900757567 }, "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": 0.8620689655172413, "acc_stderr": 0.012331009307795656, "acc_norm": 0.8620689655172413, "acc_norm_stderr": 0.012331009307795656 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7947976878612717, "acc_stderr": 0.021742519835276274, "acc_norm": 0.7947976878612717, "acc_norm_stderr": 0.021742519835276274 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.5575418994413408, "acc_stderr": 0.016611393687268574, "acc_norm": 0.5575418994413408, "acc_norm_stderr": 0.016611393687268574 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7679738562091504, "acc_stderr": 0.024170840879340873, "acc_norm": 0.7679738562091504, "acc_norm_stderr": 0.024170840879340873 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7717041800643086, "acc_stderr": 0.0238393033113982, "acc_norm": 0.7717041800643086, "acc_norm_stderr": 0.0238393033113982 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.8395061728395061, "acc_stderr": 0.02042395535477803, "acc_norm": 0.8395061728395061, "acc_norm_stderr": 0.02042395535477803 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.5531914893617021, "acc_stderr": 0.02965823509766691, "acc_norm": 0.5531914893617021, "acc_norm_stderr": 0.02965823509766691 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.5580182529335072, "acc_stderr": 0.012683972513598827, "acc_norm": 0.5580182529335072, "acc_norm_stderr": 0.012683972513598827 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.7352941176470589, "acc_stderr": 0.026799562024887657, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.026799562024887657 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.761437908496732, "acc_stderr": 0.01724238582877962, "acc_norm": 0.761437908496732, "acc_norm_stderr": 0.01724238582877962 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7545454545454545, "acc_stderr": 0.041220665028782855, "acc_norm": 0.7545454545454545, "acc_norm_stderr": 0.041220665028782855 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.8122448979591836, "acc_stderr": 0.025000256039546188, "acc_norm": 0.8122448979591836, "acc_norm_stderr": 0.025000256039546188 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8955223880597015, "acc_stderr": 0.021628920516700643, "acc_norm": 0.8955223880597015, "acc_norm_stderr": 0.021628920516700643 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.91, "acc_stderr": 0.028762349126466125, "acc_norm": 0.91, "acc_norm_stderr": 0.028762349126466125 }, "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": 0.8596491228070176, "acc_stderr": 0.0266405825391332, "acc_norm": 0.8596491228070176, "acc_norm_stderr": 0.0266405825391332 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.3953488372093023, "mc1_stderr": 0.017115815632418197, "mc2": 0.5551008582453495, "mc2_stderr": 0.014893190834168417 } } ``` ### 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_Sao10K__Euryale-L2-70B	2023-09-19T00:31:47.000Z	[ "region:us" ]	open-llm-leaderboard	null	null	null	0	--- pretty_name: Evaluation run of Sao10K/Euryale-L2-70B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Sao10K/Euryale-L2-70B](https://huggingface.co/Sao10K/Euryale-L2-70B) on the [Open\ \ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Sao10K__Euryale-L2-70B\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-09-19T00:30:23.278534](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Euryale-L2-70B/blob/main/results_2023-09-19T00-30-23.278534.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\": 0.6876811863365377,\n\ \ \"acc_stderr\": 0.031295794134185935,\n \"acc_norm\": 0.6915491918846361,\n\ \ \"acc_norm_stderr\": 0.03126665242528465,\n \"mc1\": 0.3953488372093023,\n\ \ \"mc1_stderr\": 0.017115815632418197,\n \"mc2\": 0.5449359501718896,\n\ \ \"mc2_stderr\": 0.0149529759469292\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6493174061433447,\n \"acc_stderr\": 0.013944635930726092,\n\ \ \"acc_norm\": 0.689419795221843,\n \"acc_norm_stderr\": 0.013522292098053054\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6826329416450906,\n\ \ \"acc_stderr\": 0.004645003662067883,\n \"acc_norm\": 0.8707428799044015,\n\ \ \"acc_norm_stderr\": 0.003347986669565319\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.042039210401562783,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.042039210401562783\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.03523807393012047,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.03523807393012047\n \ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.73,\n\ \ \"acc_stderr\": 0.04461960433384741,\n \"acc_norm\": 0.73,\n \ \ \"acc_norm_stderr\": 0.04461960433384741\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7094339622641509,\n \"acc_stderr\": 0.027943219989337145,\n\ \ \"acc_norm\": 0.7094339622641509,\n \"acc_norm_stderr\": 0.027943219989337145\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.8472222222222222,\n\ \ \"acc_stderr\": 0.030085743248565666,\n \"acc_norm\": 0.8472222222222222,\n\ \ \"acc_norm_stderr\": 0.030085743248565666\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\": 0.58,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\"\ : 0.58,\n \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.630057803468208,\n\ \ \"acc_stderr\": 0.0368122963339432,\n \"acc_norm\": 0.630057803468208,\n\ \ \"acc_norm_stderr\": 0.0368122963339432\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\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932262,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932262\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.6382978723404256,\n \"acc_stderr\": 0.03141082197596239,\n\ \ \"acc_norm\": 0.6382978723404256,\n \"acc_norm_stderr\": 0.03141082197596239\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.45614035087719296,\n\ \ \"acc_stderr\": 0.04685473041907789,\n \"acc_norm\": 0.45614035087719296,\n\ \ \"acc_norm_stderr\": 0.04685473041907789\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.6137931034482759,\n \"acc_stderr\": 0.04057324734419036,\n\ \ \"acc_norm\": 0.6137931034482759,\n \"acc_norm_stderr\": 0.04057324734419036\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.4417989417989418,\n \"acc_stderr\": 0.02557625706125384,\n \"\ acc_norm\": 0.4417989417989418,\n \"acc_norm_stderr\": 0.02557625706125384\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.48412698412698413,\n\ \ \"acc_stderr\": 0.04469881854072606,\n \"acc_norm\": 0.48412698412698413,\n\ \ \"acc_norm_stderr\": 0.04469881854072606\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\": 0.8225806451612904,\n\ \ \"acc_stderr\": 0.021732540689329286,\n \"acc_norm\": 0.8225806451612904,\n\ \ \"acc_norm_stderr\": 0.021732540689329286\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\": 0.74,\n \"acc_stderr\": 0.044084400227680794,\n \"acc_norm\"\ : 0.74,\n \"acc_norm_stderr\": 0.044084400227680794\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.8121212121212121,\n \"acc_stderr\": 0.03050193405942914,\n\ \ \"acc_norm\": 0.8121212121212121,\n \"acc_norm_stderr\": 0.03050193405942914\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.8838383838383839,\n \"acc_stderr\": 0.022828881775249377,\n \"\ acc_norm\": 0.8838383838383839,\n \"acc_norm_stderr\": 0.022828881775249377\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9326424870466321,\n \"acc_stderr\": 0.018088393839078874,\n\ \ \"acc_norm\": 0.9326424870466321,\n \"acc_norm_stderr\": 0.018088393839078874\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.7102564102564103,\n \"acc_stderr\": 0.023000628243687964,\n\ \ \"acc_norm\": 0.7102564102564103,\n \"acc_norm_stderr\": 0.023000628243687964\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.34814814814814815,\n \"acc_stderr\": 0.029045600290616255,\n \ \ \"acc_norm\": 0.34814814814814815,\n \"acc_norm_stderr\": 0.029045600290616255\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.7478991596638656,\n \"acc_stderr\": 0.028205545033277723,\n\ \ \"acc_norm\": 0.7478991596638656,\n \"acc_norm_stderr\": 0.028205545033277723\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.46357615894039733,\n \"acc_stderr\": 0.04071636065944215,\n \"\ acc_norm\": 0.46357615894039733,\n \"acc_norm_stderr\": 0.04071636065944215\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8733944954128441,\n \"acc_stderr\": 0.014257128686165167,\n \"\ acc_norm\": 0.8733944954128441,\n \"acc_norm_stderr\": 0.014257128686165167\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5601851851851852,\n \"acc_stderr\": 0.033851779760448106,\n \"\ acc_norm\": 0.5601851851851852,\n \"acc_norm_stderr\": 0.033851779760448106\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.9215686274509803,\n \"acc_stderr\": 0.018869514646658928,\n \"\ acc_norm\": 0.9215686274509803,\n \"acc_norm_stderr\": 0.018869514646658928\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8607594936708861,\n \"acc_stderr\": 0.022535526352692705,\n \ \ \"acc_norm\": 0.8607594936708861,\n \"acc_norm_stderr\": 0.022535526352692705\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.7668161434977578,\n\ \ \"acc_stderr\": 0.02838039114709471,\n \"acc_norm\": 0.7668161434977578,\n\ \ \"acc_norm_stderr\": 0.02838039114709471\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.816793893129771,\n \"acc_stderr\": 0.03392770926494732,\n\ \ \"acc_norm\": 0.816793893129771,\n \"acc_norm_stderr\": 0.03392770926494732\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8760330578512396,\n \"acc_stderr\": 0.030083098716035202,\n \"\ acc_norm\": 0.8760330578512396,\n \"acc_norm_stderr\": 0.030083098716035202\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8055555555555556,\n\ \ \"acc_stderr\": 0.03826076324884865,\n \"acc_norm\": 0.8055555555555556,\n\ \ \"acc_norm_stderr\": 0.03826076324884865\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.8159509202453987,\n \"acc_stderr\": 0.030446777687971726,\n\ \ \"acc_norm\": 0.8159509202453987,\n \"acc_norm_stderr\": 0.030446777687971726\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.48214285714285715,\n\ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.48214285714285715,\n\ \ \"acc_norm_stderr\": 0.047427623612430116\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\": 0.8931623931623932,\n\ \ \"acc_stderr\": 0.02023714900899093,\n \"acc_norm\": 0.8931623931623932,\n\ \ \"acc_norm_stderr\": 0.02023714900899093\n },\n \"harness\|hendrycksTest-medical_genetics\|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-miscellaneous\|5\": {\n \"acc\": 0.8441890166028098,\n\ \ \"acc_stderr\": 0.012969269247762578,\n \"acc_norm\": 0.8441890166028098,\n\ \ \"acc_norm_stderr\": 0.012969269247762578\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7745664739884393,\n \"acc_stderr\": 0.022497230190967554,\n\ \ \"acc_norm\": 0.7745664739884393,\n \"acc_norm_stderr\": 0.022497230190967554\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.5050279329608939,\n\ \ \"acc_stderr\": 0.016721656037538415,\n \"acc_norm\": 0.5050279329608939,\n\ \ \"acc_norm_stderr\": 0.016721656037538415\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7450980392156863,\n \"acc_stderr\": 0.024954184324879912,\n\ \ \"acc_norm\": 0.7450980392156863,\n \"acc_norm_stderr\": 0.024954184324879912\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7845659163987139,\n\ \ \"acc_stderr\": 0.023350225475471442,\n \"acc_norm\": 0.7845659163987139,\n\ \ \"acc_norm_stderr\": 0.023350225475471442\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7993827160493827,\n \"acc_stderr\": 0.022282313949774882,\n\ \ \"acc_norm\": 0.7993827160493827,\n \"acc_norm_stderr\": 0.022282313949774882\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.5531914893617021,\n \"acc_stderr\": 0.02965823509766691,\n \ \ \"acc_norm\": 0.5531914893617021,\n \"acc_norm_stderr\": 0.02965823509766691\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.530638852672751,\n\ \ \"acc_stderr\": 0.012746237711716634,\n \"acc_norm\": 0.530638852672751,\n\ \ \"acc_norm_stderr\": 0.012746237711716634\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.7169117647058824,\n \"acc_stderr\": 0.02736586113151381,\n\ \ \"acc_norm\": 0.7169117647058824,\n \"acc_norm_stderr\": 0.02736586113151381\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.7205882352941176,\n \"acc_stderr\": 0.01815287105153881,\n \ \ \"acc_norm\": 0.7205882352941176,\n \"acc_norm_stderr\": 0.01815287105153881\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7636363636363637,\n\ \ \"acc_stderr\": 0.04069306319721376,\n \"acc_norm\": 0.7636363636363637,\n\ \ \"acc_norm_stderr\": 0.04069306319721376\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7714285714285715,\n \"acc_stderr\": 0.02688214492230774,\n\ \ \"acc_norm\": 0.7714285714285715,\n \"acc_norm_stderr\": 0.02688214492230774\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8955223880597015,\n\ \ \"acc_stderr\": 0.021628920516700643,\n \"acc_norm\": 0.8955223880597015,\n\ \ \"acc_norm_stderr\": 0.021628920516700643\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.93,\n \"acc_stderr\": 0.0256432399976243,\n \ \ \"acc_norm\": 0.93,\n \"acc_norm_stderr\": 0.0256432399976243\n },\n\ \ \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8654970760233918,\n \"acc_stderr\": 0.026168221344662297,\n\ \ \"acc_norm\": 0.8654970760233918,\n \"acc_norm_stderr\": 0.026168221344662297\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.3953488372093023,\n\ \ \"mc1_stderr\": 0.017115815632418197,\n \"mc2\": 0.5449359501718896,\n\ \ \"mc2_stderr\": 0.0149529759469292\n }\n}\n```" repo_url: https://huggingface.co/Sao10K/Euryale-L2-70B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|arc:challenge\|25_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hellaswag\|10_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-19T00-30-23.278534.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_19T00_30_23.278534 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-19T00-30-23.278534.parquet' - config_name: results data_files: - split: 2023_09_19T00_30_23.278534 path: - results_2023-09-19T00-30-23.278534.parquet - split: latest path: - results_2023-09-19T00-30-23.278534.parquet --- # Dataset Card for Evaluation run of Sao10K/Euryale-L2-70B ## Dataset Description - Homepage: - Repository: https://huggingface.co/Sao10K/Euryale-L2-70B - 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 [Sao10K/Euryale-L2-70B](https://huggingface.co/Sao10K/Euryale-L2-70B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Sao10K__Euryale-L2-70B", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-09-19T00:30:23.278534](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Euryale-L2-70B/blob/main/results_2023-09-19T00-30-23.278534.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": 0.6876811863365377, "acc_stderr": 0.031295794134185935, "acc_norm": 0.6915491918846361, "acc_norm_stderr": 0.03126665242528465, "mc1": 0.3953488372093023, "mc1_stderr": 0.017115815632418197, "mc2": 0.5449359501718896, "mc2_stderr": 0.0149529759469292 }, "harness\|arc:challenge\|25": { "acc": 0.6493174061433447, "acc_stderr": 0.013944635930726092, "acc_norm": 0.689419795221843, "acc_norm_stderr": 0.013522292098053054 }, "harness\|hellaswag\|10": { "acc": 0.6826329416450906, "acc_stderr": 0.004645003662067883, "acc_norm": 0.8707428799044015, "acc_norm_stderr": 0.003347986669565319 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6148148148148148, "acc_stderr": 0.042039210401562783, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.042039210401562783 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.75, "acc_stderr": 0.03523807393012047, "acc_norm": 0.75, "acc_norm_stderr": 0.03523807393012047 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.73, "acc_stderr": 0.04461960433384741, "acc_norm": 0.73, "acc_norm_stderr": 0.04461960433384741 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7094339622641509, "acc_stderr": 0.027943219989337145, "acc_norm": 0.7094339622641509, "acc_norm_stderr": 0.027943219989337145 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.8472222222222222, "acc_stderr": 0.030085743248565666, "acc_norm": 0.8472222222222222, "acc_norm_stderr": 0.030085743248565666 }, "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": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.630057803468208, "acc_stderr": 0.0368122963339432, "acc_norm": 0.630057803468208, "acc_norm_stderr": 0.0368122963339432 }, "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": 0.78, "acc_stderr": 0.04163331998932262, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932262 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.6382978723404256, "acc_stderr": 0.03141082197596239, "acc_norm": 0.6382978723404256, "acc_norm_stderr": 0.03141082197596239 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.45614035087719296, "acc_stderr": 0.04685473041907789, "acc_norm": 0.45614035087719296, "acc_norm_stderr": 0.04685473041907789 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.6137931034482759, "acc_stderr": 0.04057324734419036, "acc_norm": 0.6137931034482759, "acc_norm_stderr": 0.04057324734419036 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.4417989417989418, "acc_stderr": 0.02557625706125384, "acc_norm": 0.4417989417989418, "acc_norm_stderr": 0.02557625706125384 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.48412698412698413, "acc_stderr": 0.04469881854072606, "acc_norm": 0.48412698412698413, "acc_norm_stderr": 0.04469881854072606 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.8225806451612904, "acc_stderr": 0.021732540689329286, "acc_norm": 0.8225806451612904, "acc_norm_stderr": 0.021732540689329286 }, "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": 0.74, "acc_stderr": 0.044084400227680794, "acc_norm": 0.74, "acc_norm_stderr": 0.044084400227680794 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.8121212121212121, "acc_stderr": 0.03050193405942914, "acc_norm": 0.8121212121212121, "acc_norm_stderr": 0.03050193405942914 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.8838383838383839, "acc_stderr": 0.022828881775249377, "acc_norm": 0.8838383838383839, "acc_norm_stderr": 0.022828881775249377 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9326424870466321, "acc_stderr": 0.018088393839078874, "acc_norm": 0.9326424870466321, "acc_norm_stderr": 0.018088393839078874 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.7102564102564103, "acc_stderr": 0.023000628243687964, "acc_norm": 0.7102564102564103, "acc_norm_stderr": 0.023000628243687964 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.34814814814814815, "acc_stderr": 0.029045600290616255, "acc_norm": 0.34814814814814815, "acc_norm_stderr": 0.029045600290616255 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.7478991596638656, "acc_stderr": 0.028205545033277723, "acc_norm": 0.7478991596638656, "acc_norm_stderr": 0.028205545033277723 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.46357615894039733, "acc_stderr": 0.04071636065944215, "acc_norm": 0.46357615894039733, "acc_norm_stderr": 0.04071636065944215 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8733944954128441, "acc_stderr": 0.014257128686165167, "acc_norm": 0.8733944954128441, "acc_norm_stderr": 0.014257128686165167 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5601851851851852, "acc_stderr": 0.033851779760448106, "acc_norm": 0.5601851851851852, "acc_norm_stderr": 0.033851779760448106 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.9215686274509803, "acc_stderr": 0.018869514646658928, "acc_norm": 0.9215686274509803, "acc_norm_stderr": 0.018869514646658928 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8607594936708861, "acc_stderr": 0.022535526352692705, "acc_norm": 0.8607594936708861, "acc_norm_stderr": 0.022535526352692705 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.7668161434977578, "acc_stderr": 0.02838039114709471, "acc_norm": 0.7668161434977578, "acc_norm_stderr": 0.02838039114709471 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.816793893129771, "acc_stderr": 0.03392770926494732, "acc_norm": 0.816793893129771, "acc_norm_stderr": 0.03392770926494732 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8760330578512396, "acc_stderr": 0.030083098716035202, "acc_norm": 0.8760330578512396, "acc_norm_stderr": 0.030083098716035202 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8055555555555556, "acc_stderr": 0.03826076324884865, "acc_norm": 0.8055555555555556, "acc_norm_stderr": 0.03826076324884865 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.8159509202453987, "acc_stderr": 0.030446777687971726, "acc_norm": 0.8159509202453987, "acc_norm_stderr": 0.030446777687971726 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.48214285714285715, "acc_stderr": 0.047427623612430116, "acc_norm": 0.48214285714285715, "acc_norm_stderr": 0.047427623612430116 }, "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": 0.8931623931623932, "acc_stderr": 0.02023714900899093, "acc_norm": 0.8931623931623932, "acc_norm_stderr": 0.02023714900899093 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8441890166028098, "acc_stderr": 0.012969269247762578, "acc_norm": 0.8441890166028098, "acc_norm_stderr": 0.012969269247762578 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7745664739884393, "acc_stderr": 0.022497230190967554, "acc_norm": 0.7745664739884393, "acc_norm_stderr": 0.022497230190967554 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.5050279329608939, "acc_stderr": 0.016721656037538415, "acc_norm": 0.5050279329608939, "acc_norm_stderr": 0.016721656037538415 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7450980392156863, "acc_stderr": 0.024954184324879912, "acc_norm": 0.7450980392156863, "acc_norm_stderr": 0.024954184324879912 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7845659163987139, "acc_stderr": 0.023350225475471442, "acc_norm": 0.7845659163987139, "acc_norm_stderr": 0.023350225475471442 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7993827160493827, "acc_stderr": 0.022282313949774882, "acc_norm": 0.7993827160493827, "acc_norm_stderr": 0.022282313949774882 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.5531914893617021, "acc_stderr": 0.02965823509766691, "acc_norm": 0.5531914893617021, "acc_norm_stderr": 0.02965823509766691 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.530638852672751, "acc_stderr": 0.012746237711716634, "acc_norm": 0.530638852672751, "acc_norm_stderr": 0.012746237711716634 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.7169117647058824, "acc_stderr": 0.02736586113151381, "acc_norm": 0.7169117647058824, "acc_norm_stderr": 0.02736586113151381 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.7205882352941176, "acc_stderr": 0.01815287105153881, "acc_norm": 0.7205882352941176, "acc_norm_stderr": 0.01815287105153881 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7636363636363637, "acc_stderr": 0.04069306319721376, "acc_norm": 0.7636363636363637, "acc_norm_stderr": 0.04069306319721376 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7714285714285715, "acc_stderr": 0.02688214492230774, "acc_norm": 0.7714285714285715, "acc_norm_stderr": 0.02688214492230774 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8955223880597015, "acc_stderr": 0.021628920516700643, "acc_norm": 0.8955223880597015, "acc_norm_stderr": 0.021628920516700643 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.93, "acc_stderr": 0.0256432399976243, "acc_norm": 0.93, "acc_norm_stderr": 0.0256432399976243 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5421686746987951, "acc_stderr": 0.0387862677100236, "acc_norm": 0.5421686746987951, "acc_norm_stderr": 0.0387862677100236 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8654970760233918, "acc_stderr": 0.026168221344662297, "acc_norm": 0.8654970760233918, "acc_norm_stderr": 0.026168221344662297 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.3953488372093023, "mc1_stderr": 0.017115815632418197, "mc2": 0.5449359501718896, "mc2_stderr": 0.0149529759469292 } } ``` ### 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]
yicozy/dataset_pfs_hr_by_subgroup	2023-09-19T01:04:47.000Z	[ "region:us" ]	yicozy	null	null	null	0	--- dataset_info: features: - name: instruction dtype: string - name: response dtype: string - name: text dtype: string splits: - name: train num_bytes: 6991314 num_examples: 8668 download_size: 0 dataset_size: 6991314 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "dataset_pfs_hr_by_subgroup" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
kalebguillot/CropNet	2023-09-19T01:57:37.000Z	[ "region:us" ]	kalebguillot	null	null	null	0	Entry not found
open-llm-leaderboard/details_ICBU-NPU__FashionGPT-70B-V1	2023-09-19T01:13:41.000Z	[ "region:us" ]	open-llm-leaderboard	null	null	null	0	--- pretty_name: Evaluation run of ICBU-NPU/FashionGPT-70B-V1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ICBU-NPU/FashionGPT-70B-V1](https://huggingface.co/ICBU-NPU/FashionGPT-70B-V1)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_ICBU-NPU__FashionGPT-70B-V1\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-09-19T01:12:17.792946](https://huggingface.co/datasets/open-llm-leaderboard/details_ICBU-NPU__FashionGPT-70B-V1/blob/main/results_2023-09-19T01-12-17.792946.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\": 0.7059262484193939,\n\ \ \"acc_stderr\": 0.030707005871601658,\n \"acc_norm\": 0.7099061113487667,\n\ \ \"acc_norm_stderr\": 0.0306756964963288,\n \"mc1\": 0.4749082007343941,\n\ \ \"mc1_stderr\": 0.017481446804104003,\n \"mc2\": 0.639247711774609,\n\ \ \"mc2_stderr\": 0.014721455246819812\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6672354948805461,\n \"acc_stderr\": 0.013769863046192302,\n\ \ \"acc_norm\": 0.7107508532423208,\n \"acc_norm_stderr\": 0.013250012579393441\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6819358693487353,\n\ \ \"acc_stderr\": 0.004647727222445383,\n \"acc_norm\": 0.8732324238199561,\n\ \ \"acc_norm_stderr\": 0.0033203245481454053\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.6518518518518519,\n\ \ \"acc_stderr\": 0.041153246103369526,\n \"acc_norm\": 0.6518518518518519,\n\ \ \"acc_norm_stderr\": 0.041153246103369526\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.8421052631578947,\n \"acc_stderr\": 0.029674167520101456,\n\ \ \"acc_norm\": 0.8421052631578947,\n \"acc_norm_stderr\": 0.029674167520101456\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|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-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\": 0.8194444444444444,\n\ \ \"acc_stderr\": 0.032166008088022675,\n \"acc_norm\": 0.8194444444444444,\n\ \ \"acc_norm_stderr\": 0.032166008088022675\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.59,\n \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\": 0.59,\n\ \ \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.035995863012470763,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.035995863012470763\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.39215686274509803,\n \"acc_stderr\": 0.04858083574266345,\n\ \ \"acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.04858083574266345\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.8,\n \"acc_stderr\": 0.04020151261036846,\n \"acc_norm\": 0.8,\n\ \ \"acc_norm_stderr\": 0.04020151261036846\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.6808510638297872,\n \"acc_stderr\": 0.030472973363380045,\n\ \ \"acc_norm\": 0.6808510638297872,\n \"acc_norm_stderr\": 0.030472973363380045\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4298245614035088,\n\ \ \"acc_stderr\": 0.04657047260594963,\n \"acc_norm\": 0.4298245614035088,\n\ \ \"acc_norm_stderr\": 0.04657047260594963\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.6275862068965518,\n \"acc_stderr\": 0.04028731532947558,\n\ \ \"acc_norm\": 0.6275862068965518,\n \"acc_norm_stderr\": 0.04028731532947558\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.43915343915343913,\n \"acc_stderr\": 0.025559920550531003,\n \"\ acc_norm\": 0.43915343915343913,\n \"acc_norm_stderr\": 0.025559920550531003\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.49206349206349204,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.49206349206349204,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.8161290322580645,\n\ \ \"acc_stderr\": 0.022037217340267826,\n \"acc_norm\": 0.8161290322580645,\n\ \ \"acc_norm_stderr\": 0.022037217340267826\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5369458128078818,\n \"acc_stderr\": 0.035083705204426656,\n\ \ \"acc_norm\": 0.5369458128078818,\n \"acc_norm_stderr\": 0.035083705204426656\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.8,\n \"acc_stderr\": 0.04020151261036846,\n \"acc_norm\"\ : 0.8,\n \"acc_norm_stderr\": 0.04020151261036846\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.8424242424242424,\n \"acc_stderr\": 0.028450388805284357,\n\ \ \"acc_norm\": 0.8424242424242424,\n \"acc_norm_stderr\": 0.028450388805284357\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.8838383838383839,\n \"acc_stderr\": 0.022828881775249377,\n \"\ acc_norm\": 0.8838383838383839,\n \"acc_norm_stderr\": 0.022828881775249377\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9378238341968912,\n \"acc_stderr\": 0.017426974154240528,\n\ \ \"acc_norm\": 0.9378238341968912,\n \"acc_norm_stderr\": 0.017426974154240528\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.7102564102564103,\n \"acc_stderr\": 0.023000628243687968,\n\ \ \"acc_norm\": 0.7102564102564103,\n \"acc_norm_stderr\": 0.023000628243687968\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253255,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253255\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.7773109243697479,\n \"acc_stderr\": 0.027025433498882385,\n\ \ \"acc_norm\": 0.7773109243697479,\n \"acc_norm_stderr\": 0.027025433498882385\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.45695364238410596,\n \"acc_stderr\": 0.04067325174247444,\n \"\ acc_norm\": 0.45695364238410596,\n \"acc_norm_stderr\": 0.04067325174247444\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.9027522935779817,\n \"acc_stderr\": 0.012703533408540366,\n \"\ acc_norm\": 0.9027522935779817,\n \"acc_norm_stderr\": 0.012703533408540366\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.6203703703703703,\n \"acc_stderr\": 0.03309682581119035,\n \"\ acc_norm\": 0.6203703703703703,\n \"acc_norm_stderr\": 0.03309682581119035\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.9264705882352942,\n \"acc_stderr\": 0.01831885585008968,\n \"\ acc_norm\": 0.9264705882352942,\n \"acc_norm_stderr\": 0.01831885585008968\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8860759493670886,\n \"acc_stderr\": 0.020681745135884565,\n \ \ \"acc_norm\": 0.8860759493670886,\n \"acc_norm_stderr\": 0.020681745135884565\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.8116591928251121,\n\ \ \"acc_stderr\": 0.026241132996407252,\n \"acc_norm\": 0.8116591928251121,\n\ \ \"acc_norm_stderr\": 0.026241132996407252\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8702290076335878,\n \"acc_stderr\": 0.029473649496907065,\n\ \ \"acc_norm\": 0.8702290076335878,\n \"acc_norm_stderr\": 0.029473649496907065\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8842975206611571,\n \"acc_stderr\": 0.02919980245562281,\n \"\ acc_norm\": 0.8842975206611571,\n \"acc_norm_stderr\": 0.02919980245562281\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8425925925925926,\n\ \ \"acc_stderr\": 0.035207039905179635,\n \"acc_norm\": 0.8425925925925926,\n\ \ \"acc_norm_stderr\": 0.035207039905179635\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.8220858895705522,\n \"acc_stderr\": 0.03004735765580663,\n\ \ \"acc_norm\": 0.8220858895705522,\n \"acc_norm_stderr\": 0.03004735765580663\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\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8931623931623932,\n\ \ \"acc_stderr\": 0.020237149008990915,\n \"acc_norm\": 0.8931623931623932,\n\ \ \"acc_norm_stderr\": 0.020237149008990915\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542126,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542126\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8773946360153256,\n\ \ \"acc_stderr\": 0.011728672144131563,\n \"acc_norm\": 0.8773946360153256,\n\ \ \"acc_norm_stderr\": 0.011728672144131563\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7861271676300579,\n \"acc_stderr\": 0.02207570925175718,\n\ \ \"acc_norm\": 0.7861271676300579,\n \"acc_norm_stderr\": 0.02207570925175718\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.6,\n\ \ \"acc_stderr\": 0.01638463841038082,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.01638463841038082\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7647058823529411,\n \"acc_stderr\": 0.024288619466046112,\n\ \ \"acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.024288619466046112\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7813504823151125,\n\ \ \"acc_stderr\": 0.02347558141786111,\n \"acc_norm\": 0.7813504823151125,\n\ \ \"acc_norm_stderr\": 0.02347558141786111\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.8364197530864198,\n \"acc_stderr\": 0.020581466138257124,\n\ \ \"acc_norm\": 0.8364197530864198,\n \"acc_norm_stderr\": 0.020581466138257124\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.5567375886524822,\n \"acc_stderr\": 0.029634838473766006,\n \ \ \"acc_norm\": 0.5567375886524822,\n \"acc_norm_stderr\": 0.029634838473766006\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.5495436766623207,\n\ \ \"acc_stderr\": 0.012707390438502348,\n \"acc_norm\": 0.5495436766623207,\n\ \ \"acc_norm_stderr\": 0.012707390438502348\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.026303648393696036,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.026303648393696036\n \ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"acc\"\ : 0.7565359477124183,\n \"acc_stderr\": 0.01736247376214661,\n \"\ acc_norm\": 0.7565359477124183,\n \"acc_norm_stderr\": 0.01736247376214661\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7363636363636363,\n\ \ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.7363636363636363,\n\ \ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.8122448979591836,\n \"acc_stderr\": 0.02500025603954619,\n\ \ \"acc_norm\": 0.8122448979591836,\n \"acc_norm_stderr\": 0.02500025603954619\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8805970149253731,\n\ \ \"acc_stderr\": 0.02292879327721974,\n \"acc_norm\": 0.8805970149253731,\n\ \ \"acc_norm_stderr\": 0.02292879327721974\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.92,\n \"acc_stderr\": 0.0272659924344291,\n \ \ \"acc_norm\": 0.92,\n \"acc_norm_stderr\": 0.0272659924344291\n },\n\ \ \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8654970760233918,\n \"acc_stderr\": 0.026168221344662297,\n\ \ \"acc_norm\": 0.8654970760233918,\n \"acc_norm_stderr\": 0.026168221344662297\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.4749082007343941,\n\ \ \"mc1_stderr\": 0.017481446804104003,\n \"mc2\": 0.639247711774609,\n\ \ \"mc2_stderr\": 0.014721455246819812\n }\n}\n```" repo_url: https://huggingface.co/ICBU-NPU/FashionGPT-70B-V1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|arc:challenge\|25_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hellaswag\|10_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-19T01-12-17.792946.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_19T01_12_17.792946 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-19T01-12-17.792946.parquet' - config_name: results data_files: - split: 2023_09_19T01_12_17.792946 path: - results_2023-09-19T01-12-17.792946.parquet - split: latest path: - results_2023-09-19T01-12-17.792946.parquet --- # Dataset Card for Evaluation run of ICBU-NPU/FashionGPT-70B-V1 ## Dataset Description - Homepage: - Repository: https://huggingface.co/ICBU-NPU/FashionGPT-70B-V1 - 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 [ICBU-NPU/FashionGPT-70B-V1](https://huggingface.co/ICBU-NPU/FashionGPT-70B-V1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_ICBU-NPU__FashionGPT-70B-V1", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-09-19T01:12:17.792946](https://huggingface.co/datasets/open-llm-leaderboard/details_ICBU-NPU__FashionGPT-70B-V1/blob/main/results_2023-09-19T01-12-17.792946.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": 0.7059262484193939, "acc_stderr": 0.030707005871601658, "acc_norm": 0.7099061113487667, "acc_norm_stderr": 0.0306756964963288, "mc1": 0.4749082007343941, "mc1_stderr": 0.017481446804104003, "mc2": 0.639247711774609, "mc2_stderr": 0.014721455246819812 }, "harness\|arc:challenge\|25": { "acc": 0.6672354948805461, "acc_stderr": 0.013769863046192302, "acc_norm": 0.7107508532423208, "acc_norm_stderr": 0.013250012579393441 }, "harness\|hellaswag\|10": { "acc": 0.6819358693487353, "acc_stderr": 0.004647727222445383, "acc_norm": 0.8732324238199561, "acc_norm_stderr": 0.0033203245481454053 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6518518518518519, "acc_stderr": 0.041153246103369526, "acc_norm": 0.6518518518518519, "acc_norm_stderr": 0.041153246103369526 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.8421052631578947, "acc_stderr": 0.029674167520101456, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.029674167520101456 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "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": 0.8194444444444444, "acc_stderr": 0.032166008088022675, "acc_norm": 0.8194444444444444, "acc_norm_stderr": 0.032166008088022675 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6647398843930635, "acc_stderr": 0.035995863012470763, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.035995863012470763 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.39215686274509803, "acc_stderr": 0.04858083574266345, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.04858083574266345 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.8, "acc_stderr": 0.04020151261036846, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036846 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.6808510638297872, "acc_stderr": 0.030472973363380045, "acc_norm": 0.6808510638297872, "acc_norm_stderr": 0.030472973363380045 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4298245614035088, "acc_stderr": 0.04657047260594963, "acc_norm": 0.4298245614035088, "acc_norm_stderr": 0.04657047260594963 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.6275862068965518, "acc_stderr": 0.04028731532947558, "acc_norm": 0.6275862068965518, "acc_norm_stderr": 0.04028731532947558 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.43915343915343913, "acc_stderr": 0.025559920550531003, "acc_norm": 0.43915343915343913, "acc_norm_stderr": 0.025559920550531003 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.49206349206349204, "acc_stderr": 0.044715725362943486, "acc_norm": 0.49206349206349204, "acc_norm_stderr": 0.044715725362943486 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.8161290322580645, "acc_stderr": 0.022037217340267826, "acc_norm": 0.8161290322580645, "acc_norm_stderr": 0.022037217340267826 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5369458128078818, "acc_stderr": 0.035083705204426656, "acc_norm": 0.5369458128078818, "acc_norm_stderr": 0.035083705204426656 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.8, "acc_stderr": 0.04020151261036846, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036846 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.8424242424242424, "acc_stderr": 0.028450388805284357, "acc_norm": 0.8424242424242424, "acc_norm_stderr": 0.028450388805284357 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.8838383838383839, "acc_stderr": 0.022828881775249377, "acc_norm": 0.8838383838383839, "acc_norm_stderr": 0.022828881775249377 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9378238341968912, "acc_stderr": 0.017426974154240528, "acc_norm": 0.9378238341968912, "acc_norm_stderr": 0.017426974154240528 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.7102564102564103, "acc_stderr": 0.023000628243687968, "acc_norm": 0.7102564102564103, "acc_norm_stderr": 0.023000628243687968 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.337037037037037, "acc_stderr": 0.028820884666253255, "acc_norm": 0.337037037037037, "acc_norm_stderr": 0.028820884666253255 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.7773109243697479, "acc_stderr": 0.027025433498882385, "acc_norm": 0.7773109243697479, "acc_norm_stderr": 0.027025433498882385 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.45695364238410596, "acc_stderr": 0.04067325174247444, "acc_norm": 0.45695364238410596, "acc_norm_stderr": 0.04067325174247444 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.9027522935779817, "acc_stderr": 0.012703533408540366, "acc_norm": 0.9027522935779817, "acc_norm_stderr": 0.012703533408540366 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.6203703703703703, "acc_stderr": 0.03309682581119035, "acc_norm": 0.6203703703703703, "acc_norm_stderr": 0.03309682581119035 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.9264705882352942, "acc_stderr": 0.01831885585008968, "acc_norm": 0.9264705882352942, "acc_norm_stderr": 0.01831885585008968 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8860759493670886, "acc_stderr": 0.020681745135884565, "acc_norm": 0.8860759493670886, "acc_norm_stderr": 0.020681745135884565 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.8116591928251121, "acc_stderr": 0.026241132996407252, "acc_norm": 0.8116591928251121, "acc_norm_stderr": 0.026241132996407252 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8702290076335878, "acc_stderr": 0.029473649496907065, "acc_norm": 0.8702290076335878, "acc_norm_stderr": 0.029473649496907065 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8842975206611571, "acc_stderr": 0.02919980245562281, "acc_norm": 0.8842975206611571, "acc_norm_stderr": 0.02919980245562281 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8425925925925926, "acc_stderr": 0.035207039905179635, "acc_norm": 0.8425925925925926, "acc_norm_stderr": 0.035207039905179635 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.8220858895705522, "acc_stderr": 0.03004735765580663, "acc_norm": 0.8220858895705522, "acc_norm_stderr": 0.03004735765580663 }, "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": 0.8155339805825242, "acc_stderr": 0.03840423627288276, "acc_norm": 0.8155339805825242, "acc_norm_stderr": 0.03840423627288276 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8931623931623932, "acc_stderr": 0.020237149008990915, "acc_norm": 0.8931623931623932, "acc_norm_stderr": 0.020237149008990915 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.72, "acc_stderr": 0.04512608598542126, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542126 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8773946360153256, "acc_stderr": 0.011728672144131563, "acc_norm": 0.8773946360153256, "acc_norm_stderr": 0.011728672144131563 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7861271676300579, "acc_stderr": 0.02207570925175718, "acc_norm": 0.7861271676300579, "acc_norm_stderr": 0.02207570925175718 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.6, "acc_stderr": 0.01638463841038082, "acc_norm": 0.6, "acc_norm_stderr": 0.01638463841038082 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7647058823529411, "acc_stderr": 0.024288619466046112, "acc_norm": 0.7647058823529411, "acc_norm_stderr": 0.024288619466046112 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7813504823151125, "acc_stderr": 0.02347558141786111, "acc_norm": 0.7813504823151125, "acc_norm_stderr": 0.02347558141786111 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.8364197530864198, "acc_stderr": 0.020581466138257124, "acc_norm": 0.8364197530864198, "acc_norm_stderr": 0.020581466138257124 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.5567375886524822, "acc_stderr": 0.029634838473766006, "acc_norm": 0.5567375886524822, "acc_norm_stderr": 0.029634838473766006 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.5495436766623207, "acc_stderr": 0.012707390438502348, "acc_norm": 0.5495436766623207, "acc_norm_stderr": 0.012707390438502348 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.75, "acc_stderr": 0.026303648393696036, "acc_norm": 0.75, "acc_norm_stderr": 0.026303648393696036 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.7565359477124183, "acc_stderr": 0.01736247376214661, "acc_norm": 0.7565359477124183, "acc_norm_stderr": 0.01736247376214661 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7363636363636363, "acc_stderr": 0.04220224692971987, "acc_norm": 0.7363636363636363, "acc_norm_stderr": 0.04220224692971987 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.8122448979591836, "acc_stderr": 0.02500025603954619, "acc_norm": 0.8122448979591836, "acc_norm_stderr": 0.02500025603954619 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8805970149253731, "acc_stderr": 0.02292879327721974, "acc_norm": 0.8805970149253731, "acc_norm_stderr": 0.02292879327721974 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.92, "acc_stderr": 0.0272659924344291, "acc_norm": 0.92, "acc_norm_stderr": 0.0272659924344291 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5421686746987951, "acc_stderr": 0.0387862677100236, "acc_norm": 0.5421686746987951, "acc_norm_stderr": 0.0387862677100236 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8654970760233918, "acc_stderr": 0.026168221344662297, "acc_norm": 0.8654970760233918, "acc_norm_stderr": 0.026168221344662297 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.4749082007343941, "mc1_stderr": 0.017481446804104003, "mc2": 0.639247711774609, "mc2_stderr": 0.014721455246819812 } } ``` ### 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]
Cerrisete07/Raimundo	2023-10-07T23:37:47.000Z	[ "license:other", "region:us" ]	Cerrisete07	null	null	null	0	--- license: other ---
Jamal914/Xtt	2023-09-19T01:48:31.000Z	[ "region:us" ]	Jamal914	null	null	null	0	Entry not found
zhangbo2008/Shin_Onimusha_Dawn_of_Dreams	2023-09-19T02:45:18.000Z	[ "region:us" ]	zhangbo2008	null	null	null	0	Entry not found
chenqile09/alpaca-2-13B-chinese-couplet-val-4k-predictions	2023-09-19T03:25:35.000Z	[ "region:us" ]	chenqile09	null	null	null	0	--- configs: - config_name: default data_files: - split: data path: data/data-* dataset_info: features: - name: input dtype: string - name: prediction dtype: string - name: reference dtype: string splits: - name: data num_bytes: 386019 num_examples: 4000 download_size: 341079 dataset_size: 386019 --- # Dataset Card for "alpaca-2-13B-chinese-couplet-val-4k-predictions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
chunpingvi/temp_env	2023-09-19T07:19:50.000Z	[ "region:us" ]	chunpingvi	null	null	null	0	Entry not found
chenqile09/alpaca-2-7B-chinese-couplet-val-4k-predictions	2023-09-19T03:45:31.000Z	[ "region:us" ]	chenqile09	null	null	null	0	--- configs: - config_name: default data_files: - split: data path: data/data-* dataset_info: features: - name: input dtype: string - name: prediction dtype: string - name: reference dtype: string splits: - name: data num_bytes: 386155 num_examples: 4000 download_size: 342185 dataset_size: 386155 --- # Dataset Card for "alpaca-2-7B-chinese-couplet-val-4k-predictions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Gilderlan/etinhozaudio	2023-09-19T03:49:04.000Z	[ "region:us" ]	Gilderlan	null	null	null	0
sscla/market-data	2023-09-19T11:03:45.000Z	[ "task_categories:summarization", "task_categories:text2text-generation", "language:en", "license:openrail", "region:us" ]	sscla	null	null	null	0	--- license: openrail task_categories: - summarization - text2text-generation language: - en pretty_name: u ---
linhqyy/data_aug_cua	2023-09-19T05:34:48.000Z	[ "region:us" ]	linhqyy	null	null	null	0	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: sentence dtype: string - name: intent dtype: string - name: entities list: - name: type dtype: string - name: filler dtype: string - name: labels dtype: string splits: - name: train num_bytes: 2162586 num_examples: 9941 - name: test num_bytes: 241472 num_examples: 1105 download_size: 596926 dataset_size: 2404058 --- # Dataset Card for "data_aug_cua" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
BangumiBase/jashinchandropkick	2023-09-29T09:32:28.000Z	[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]	BangumiBase	null	null	null	0	--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Jashin-chan Dropkick This is the image base of bangumi Jashin-chan Dropkick, we detected 44 characters, 6043 images in total. The full dataset is [here](all.zip). Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: \| # \| Images \| Download \| Preview 1 \| Preview 2 \| Preview 3 \| Preview 4 \| Preview 5 \| Preview 6 \| Preview 7 \| Preview 8 \| \|:------\|---------:\|:---------------------------\|:-------------------------------\|:-------------------------------\|:-------------------------------\|:-------------------------------\|:-------------------------------\|:-------------------------------\|:-------------------------------\|:-------------------------------\| \| 0 \| 1710 \| [Download](0/dataset.zip) \| ![preview 1](0/preview_1.png) \| ![preview 2](0/preview_2.png) \| ![preview 3](0/preview_3.png) \| ![preview 4](0/preview_4.png) \| ![preview 5](0/preview_5.png) \| ![preview 6](0/preview_6.png) \| ![preview 7](0/preview_7.png) \| ![preview 8](0/preview_8.png) \| \| 1 \| 41 \| [Download](1/dataset.zip) \| ![preview 1](1/preview_1.png) \| ![preview 2](1/preview_2.png) \| ![preview 3](1/preview_3.png) \| ![preview 4](1/preview_4.png) \| ![preview 5](1/preview_5.png) \| ![preview 6](1/preview_6.png) \| ![preview 7](1/preview_7.png) \| ![preview 8](1/preview_8.png) \| \| 2 \| 44 \| [Download](2/dataset.zip) \| ![preview 1](2/preview_1.png) \| ![preview 2](2/preview_2.png) \| ![preview 3](2/preview_3.png) \| ![preview 4](2/preview_4.png) \| ![preview 5](2/preview_5.png) \| ![preview 6](2/preview_6.png) \| ![preview 7](2/preview_7.png) \| ![preview 8](2/preview_8.png) \| \| 3 \| 29 \| [Download](3/dataset.zip) \| ![preview 1](3/preview_1.png) \| ![preview 2](3/preview_2.png) \| ![preview 3](3/preview_3.png) \| ![preview 4](3/preview_4.png) \| ![preview 5](3/preview_5.png) \| ![preview 6](3/preview_6.png) \| ![preview 7](3/preview_7.png) \| ![preview 8](3/preview_8.png) \| \| 4 \| 41 \| [Download](4/dataset.zip) \| ![preview 1](4/preview_1.png) \| ![preview 2](4/preview_2.png) \| ![preview 3](4/preview_3.png) \| ![preview 4](4/preview_4.png) \| ![preview 5](4/preview_5.png) \| ![preview 6](4/preview_6.png) \| ![preview 7](4/preview_7.png) \| ![preview 8](4/preview_8.png) \| \| 5 \| 32 \| [Download](5/dataset.zip) \| ![preview 1](5/preview_1.png) \| ![preview 2](5/preview_2.png) \| ![preview 3](5/preview_3.png) \| ![preview 4](5/preview_4.png) \| ![preview 5](5/preview_5.png) \| ![preview 6](5/preview_6.png) \| ![preview 7](5/preview_7.png) \| ![preview 8](5/preview_8.png) \| \| 6 \| 20 \| [Download](6/dataset.zip) \| ![preview 1](6/preview_1.png) \| ![preview 2](6/preview_2.png) \| ![preview 3](6/preview_3.png) \| ![preview 4](6/preview_4.png) \| ![preview 5](6/preview_5.png) \| ![preview 6](6/preview_6.png) \| ![preview 7](6/preview_7.png) \| ![preview 8](6/preview_8.png) \| \| 7 \| 14 \| [Download](7/dataset.zip) \| ![preview 1](7/preview_1.png) \| ![preview 2](7/preview_2.png) \| ![preview 3](7/preview_3.png) \| ![preview 4](7/preview_4.png) \| ![preview 5](7/preview_5.png) \| ![preview 6](7/preview_6.png) \| ![preview 7](7/preview_7.png) \| ![preview 8](7/preview_8.png) \| \| 8 \| 210 \| [Download](8/dataset.zip) \| ![preview 1](8/preview_1.png) \| ![preview 2](8/preview_2.png) \| ![preview 3](8/preview_3.png) \| ![preview 4](8/preview_4.png) \| ![preview 5](8/preview_5.png) \| ![preview 6](8/preview_6.png) \| ![preview 7](8/preview_7.png) \| ![preview 8](8/preview_8.png) \| \| 9 \| 292 \| [Download](9/dataset.zip) \| ![preview 1](9/preview_1.png) \| ![preview 2](9/preview_2.png) \| ![preview 3](9/preview_3.png) \| ![preview 4](9/preview_4.png) \| ![preview 5](9/preview_5.png) \| ![preview 6](9/preview_6.png) \| ![preview 7](9/preview_7.png) \| ![preview 8](9/preview_8.png) \| \| 10 \| 76 \| [Download](10/dataset.zip) \| ![preview 1](10/preview_1.png) \| ![preview 2](10/preview_2.png) \| ![preview 3](10/preview_3.png) \| ![preview 4](10/preview_4.png) \| ![preview 5](10/preview_5.png) \| ![preview 6](10/preview_6.png) \| ![preview 7](10/preview_7.png) \| ![preview 8](10/preview_8.png) \| \| 11 \| 30 \| [Download](11/dataset.zip) \| ![preview 1](11/preview_1.png) \| ![preview 2](11/preview_2.png) \| ![preview 3](11/preview_3.png) \| ![preview 4](11/preview_4.png) \| ![preview 5](11/preview_5.png) \| ![preview 6](11/preview_6.png) \| ![preview 7](11/preview_7.png) \| ![preview 8](11/preview_8.png) \| \| 12 \| 398 \| [Download](12/dataset.zip) \| ![preview 1](12/preview_1.png) \| ![preview 2](12/preview_2.png) \| ![preview 3](12/preview_3.png) \| ![preview 4](12/preview_4.png) \| ![preview 5](12/preview_5.png) \| ![preview 6](12/preview_6.png) \| ![preview 7](12/preview_7.png) \| ![preview 8](12/preview_8.png) \| \| 13 \| 14 \| [Download](13/dataset.zip) \| ![preview 1](13/preview_1.png) \| ![preview 2](13/preview_2.png) \| ![preview 3](13/preview_3.png) \| ![preview 4](13/preview_4.png) \| ![preview 5](13/preview_5.png) \| ![preview 6](13/preview_6.png) \| ![preview 7](13/preview_7.png) \| ![preview 8](13/preview_8.png) \| \| 14 \| 14 \| [Download](14/dataset.zip) \| ![preview 1](14/preview_1.png) \| ![preview 2](14/preview_2.png) \| ![preview 3](14/preview_3.png) \| ![preview 4](14/preview_4.png) \| ![preview 5](14/preview_5.png) \| ![preview 6](14/preview_6.png) \| ![preview 7](14/preview_7.png) \| ![preview 8](14/preview_8.png) \| \| 15 \| 62 \| [Download](15/dataset.zip) \| ![preview 1](15/preview_1.png) \| ![preview 2](15/preview_2.png) \| ![preview 3](15/preview_3.png) \| ![preview 4](15/preview_4.png) \| ![preview 5](15/preview_5.png) \| ![preview 6](15/preview_6.png) \| ![preview 7](15/preview_7.png) \| ![preview 8](15/preview_8.png) \| \| 16 \| 84 \| [Download](16/dataset.zip) \| ![preview 1](16/preview_1.png) \| ![preview 2](16/preview_2.png) \| ![preview 3](16/preview_3.png) \| ![preview 4](16/preview_4.png) \| ![preview 5](16/preview_5.png) \| ![preview 6](16/preview_6.png) \| ![preview 7](16/preview_7.png) \| ![preview 8](16/preview_8.png) \| \| 17 \| 20 \| [Download](17/dataset.zip) \| ![preview 1](17/preview_1.png) \| ![preview 2](17/preview_2.png) \| ![preview 3](17/preview_3.png) \| ![preview 4](17/preview_4.png) \| ![preview 5](17/preview_5.png) \| ![preview 6](17/preview_6.png) \| ![preview 7](17/preview_7.png) \| ![preview 8](17/preview_8.png) \| \| 18 \| 21 \| [Download](18/dataset.zip) \| ![preview 1](18/preview_1.png) \| ![preview 2](18/preview_2.png) \| ![preview 3](18/preview_3.png) \| ![preview 4](18/preview_4.png) \| ![preview 5](18/preview_5.png) \| ![preview 6](18/preview_6.png) \| ![preview 7](18/preview_7.png) \| ![preview 8](18/preview_8.png) \| \| 19 \| 27 \| [Download](19/dataset.zip) \| ![preview 1](19/preview_1.png) \| ![preview 2](19/preview_2.png) \| ![preview 3](19/preview_3.png) \| ![preview 4](19/preview_4.png) \| ![preview 5](19/preview_5.png) \| ![preview 6](19/preview_6.png) \| ![preview 7](19/preview_7.png) \| ![preview 8](19/preview_8.png) \| \| 20 \| 11 \| [Download](20/dataset.zip) \| ![preview 1](20/preview_1.png) \| ![preview 2](20/preview_2.png) \| ![preview 3](20/preview_3.png) \| ![preview 4](20/preview_4.png) \| ![preview 5](20/preview_5.png) \| ![preview 6](20/preview_6.png) \| ![preview 7](20/preview_7.png) \| ![preview 8](20/preview_8.png) \| \| 21 \| 17 \| [Download](21/dataset.zip) \| ![preview 1](21/preview_1.png) \| ![preview 2](21/preview_2.png) \| ![preview 3](21/preview_3.png) \| ![preview 4](21/preview_4.png) \| ![preview 5](21/preview_5.png) \| ![preview 6](21/preview_6.png) \| ![preview 7](21/preview_7.png) \| ![preview 8](21/preview_8.png) \| \| 22 \| 143 \| [Download](22/dataset.zip) \| ![preview 1](22/preview_1.png) \| ![preview 2](22/preview_2.png) \| ![preview 3](22/preview_3.png) \| ![preview 4](22/preview_4.png) \| ![preview 5](22/preview_5.png) \| ![preview 6](22/preview_6.png) \| ![preview 7](22/preview_7.png) \| ![preview 8](22/preview_8.png) \| \| 23 \| 10 \| [Download](23/dataset.zip) \| ![preview 1](23/preview_1.png) \| ![preview 2](23/preview_2.png) \| ![preview 3](23/preview_3.png) \| ![preview 4](23/preview_4.png) \| ![preview 5](23/preview_5.png) \| ![preview 6](23/preview_6.png) \| ![preview 7](23/preview_7.png) \| ![preview 8](23/preview_8.png) \| \| 24 \| 8 \| [Download](24/dataset.zip) \| ![preview 1](24/preview_1.png) \| ![preview 2](24/preview_2.png) \| ![preview 3](24/preview_3.png) \| ![preview 4](24/preview_4.png) \| ![preview 5](24/preview_5.png) \| ![preview 6](24/preview_6.png) \| ![preview 7](24/preview_7.png) \| ![preview 8](24/preview_8.png) \| \| 25 \| 42 \| [Download](25/dataset.zip) \| ![preview 1](25/preview_1.png) \| ![preview 2](25/preview_2.png) \| ![preview 3](25/preview_3.png) \| ![preview 4](25/preview_4.png) \| ![preview 5](25/preview_5.png) \| ![preview 6](25/preview_6.png) \| ![preview 7](25/preview_7.png) \| ![preview 8](25/preview_8.png) \| \| 26 \| 217 \| [Download](26/dataset.zip) \| ![preview 1](26/preview_1.png) \| ![preview 2](26/preview_2.png) \| ![preview 3](26/preview_3.png) \| ![preview 4](26/preview_4.png) \| ![preview 5](26/preview_5.png) \| ![preview 6](26/preview_6.png) \| ![preview 7](26/preview_7.png) \| ![preview 8](26/preview_8.png) \| \| 27 \| 11 \| [Download](27/dataset.zip) \| ![preview 1](27/preview_1.png) \| ![preview 2](27/preview_2.png) \| ![preview 3](27/preview_3.png) \| ![preview 4](27/preview_4.png) \| ![preview 5](27/preview_5.png) \| ![preview 6](27/preview_6.png) \| ![preview 7](27/preview_7.png) \| ![preview 8](27/preview_8.png) \| \| 28 \| 555 \| [Download](28/dataset.zip) \| ![preview 1](28/preview_1.png) \| ![preview 2](28/preview_2.png) \| ![preview 3](28/preview_3.png) \| ![preview 4](28/preview_4.png) \| ![preview 5](28/preview_5.png) \| ![preview 6](28/preview_6.png) \| ![preview 7](28/preview_7.png) \| ![preview 8](28/preview_8.png) \| \| 29 \| 534 \| [Download](29/dataset.zip) \| ![preview 1](29/preview_1.png) \| ![preview 2](29/preview_2.png) \| ![preview 3](29/preview_3.png) \| ![preview 4](29/preview_4.png) \| ![preview 5](29/preview_5.png) \| ![preview 6](29/preview_6.png) \| ![preview 7](29/preview_7.png) \| ![preview 8](29/preview_8.png) \| \| 30 \| 11 \| [Download](30/dataset.zip) \| ![preview 1](30/preview_1.png) \| ![preview 2](30/preview_2.png) \| ![preview 3](30/preview_3.png) \| ![preview 4](30/preview_4.png) \| ![preview 5](30/preview_5.png) \| ![preview 6](30/preview_6.png) \| ![preview 7](30/preview_7.png) \| ![preview 8](30/preview_8.png) \| \| 31 \| 32 \| [Download](31/dataset.zip) \| ![preview 1](31/preview_1.png) \| ![preview 2](31/preview_2.png) \| ![preview 3](31/preview_3.png) \| ![preview 4](31/preview_4.png) \| ![preview 5](31/preview_5.png) \| ![preview 6](31/preview_6.png) \| ![preview 7](31/preview_7.png) \| ![preview 8](31/preview_8.png) \| \| 32 \| 24 \| [Download](32/dataset.zip) \| ![preview 1](32/preview_1.png) \| ![preview 2](32/preview_2.png) \| ![preview 3](32/preview_3.png) \| ![preview 4](32/preview_4.png) \| ![preview 5](32/preview_5.png) \| ![preview 6](32/preview_6.png) \| ![preview 7](32/preview_7.png) \| ![preview 8](32/preview_8.png) \| \| 33 \| 211 \| [Download](33/dataset.zip) \| ![preview 1](33/preview_1.png) \| ![preview 2](33/preview_2.png) \| ![preview 3](33/preview_3.png) \| ![preview 4](33/preview_4.png) \| ![preview 5](33/preview_5.png) \| ![preview 6](33/preview_6.png) \| ![preview 7](33/preview_7.png) \| ![preview 8](33/preview_8.png) \| \| 34 \| 160 \| [Download](34/dataset.zip) \| ![preview 1](34/preview_1.png) \| ![preview 2](34/preview_2.png) \| ![preview 3](34/preview_3.png) \| ![preview 4](34/preview_4.png) \| ![preview 5](34/preview_5.png) \| ![preview 6](34/preview_6.png) \| ![preview 7](34/preview_7.png) \| ![preview 8](34/preview_8.png) \| \| 35 \| 22 \| [Download](35/dataset.zip) \| ![preview 1](35/preview_1.png) \| ![preview 2](35/preview_2.png) \| ![preview 3](35/preview_3.png) \| ![preview 4](35/preview_4.png) \| ![preview 5](35/preview_5.png) \| ![preview 6](35/preview_6.png) \| ![preview 7](35/preview_7.png) \| ![preview 8](35/preview_8.png) \| \| 36 \| 23 \| [Download](36/dataset.zip) \| ![preview 1](36/preview_1.png) \| ![preview 2](36/preview_2.png) \| ![preview 3](36/preview_3.png) \| ![preview 4](36/preview_4.png) \| ![preview 5](36/preview_5.png) \| ![preview 6](36/preview_6.png) \| ![preview 7](36/preview_7.png) \| ![preview 8](36/preview_8.png) \| \| 37 \| 5 \| [Download](37/dataset.zip) \| ![preview 1](37/preview_1.png) \| ![preview 2](37/preview_2.png) \| ![preview 3](37/preview_3.png) \| ![preview 4](37/preview_4.png) \| ![preview 5](37/preview_5.png) \| N/A \| N/A \| N/A \| \| 38 \| 355 \| [Download](38/dataset.zip) \| ![preview 1](38/preview_1.png) \| ![preview 2](38/preview_2.png) \| ![preview 3](38/preview_3.png) \| ![preview 4](38/preview_4.png) \| ![preview 5](38/preview_5.png) \| ![preview 6](38/preview_6.png) \| ![preview 7](38/preview_7.png) \| ![preview 8](38/preview_8.png) \| \| 39 \| 33 \| [Download](39/dataset.zip) \| ![preview 1](39/preview_1.png) \| ![preview 2](39/preview_2.png) \| ![preview 3](39/preview_3.png) \| ![preview 4](39/preview_4.png) \| ![preview 5](39/preview_5.png) \| ![preview 6](39/preview_6.png) \| ![preview 7](39/preview_7.png) \| ![preview 8](39/preview_8.png) \| \| 40 \| 7 \| [Download](40/dataset.zip) \| ![preview 1](40/preview_1.png) \| ![preview 2](40/preview_2.png) \| ![preview 3](40/preview_3.png) \| ![preview 4](40/preview_4.png) \| ![preview 5](40/preview_5.png) \| ![preview 6](40/preview_6.png) \| ![preview 7](40/preview_7.png) \| N/A \| \| 41 \| 9 \| [Download](41/dataset.zip) \| ![preview 1](41/preview_1.png) \| ![preview 2](41/preview_2.png) \| ![preview 3](41/preview_3.png) \| ![preview 4](41/preview_4.png) \| ![preview 5](41/preview_5.png) \| ![preview 6](41/preview_6.png) \| ![preview 7](41/preview_7.png) \| ![preview 8](41/preview_8.png) \| \| 42 \| 5 \| [Download](42/dataset.zip) \| ![preview 1](42/preview_1.png) \| ![preview 2](42/preview_2.png) \| ![preview 3](42/preview_3.png) \| ![preview 4](42/preview_4.png) \| ![preview 5](42/preview_5.png) \| N/A \| N/A \| N/A \| \| noise \| 419 \| [Download](-1/dataset.zip) \| ![preview 1](-1/preview_1.png) \| ![preview 2](-1/preview_2.png) \| ![preview 3](-1/preview_3.png) \| ![preview 4](-1/preview_4.png) \| ![preview 5](-1/preview_5.png) \| ![preview 6](-1/preview_6.png) \| ![preview 7](-1/preview_7.png) \| ![preview 8](-1/preview_8.png) \|
wangdayaya/beauty-avatar	2023-09-19T06:21:46.000Z	[ "region:us" ]	wangdayaya	null	null	null	0	Entry not found
sameer7/plag	2023-09-19T06:41:24.000Z	[ "region:us" ]	sameer7	null	null	null	0	Entry not found
aravindasai/taco_menu	2023-09-19T07:00:09.000Z	[ "region:us" ]	aravindasai	null	null	null	0	Entry not found
xlagor/FIT5215	2023-09-19T07:14:29.000Z	[ "region:us" ]	xlagor	null	null	null	0	Entry not found
spideyrim/output	2023-09-19T07:47:05.000Z	[ "region:us" ]	spideyrim	null	null	null	0	Entry not found
SoloTech/ia	2023-09-19T07:48:22.000Z	[ "region:us" ]	SoloTech	null	null	null	0
CCRs/qqp-Quora_Question_Pairs	2023-09-27T05:32:33.000Z	[ "region:us" ]	CCRs	null	null	null	0	<a href="https://www.kaggle.com/competitions/quora-question-pairs/data?select=test.csv.zip">from</a> translated to kz dataset --- license: mit ---
Fuyuka29/Ishar	2023-09-19T07:51:34.000Z	[ "region:us" ]	Fuyuka29	null	null	null	0	Entry not found
CyberNative/CryptoTorgashi	2023-09-19T07:55:27.000Z	[ "region:us" ]	CyberNative	null	null	null	0	Entry not found
Falah/chapter1_0_prompts	2023-09-20T10:08:54.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2523 num_examples: 9 download_size: 3966 dataset_size: 2523 --- # Dataset Card for "chapter1_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter1_1_prompts	2023-09-20T10:09:01.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 289 num_examples: 1 download_size: 2462 dataset_size: 289 --- # Dataset Card for "chapter1_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter1_2_prompts	2023-09-19T08:22:52.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 151 num_examples: 1 download_size: 1499 dataset_size: 151 --- # Dataset Card for "chapter1_2_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
KnutJaegersberg/facehugger	2023-09-19T08:25:23.000Z	[ "license:cc-by-nc-4.0", "region:us" ]	KnutJaegersberg	null	null	null	0	--- license: cc-by-nc-4.0 --- Just a downsampled version of the trilobite. I tested it with a 3b model, it has comparable or even superior benchmarking results as the trilobite.
nc33/clmdata	2023-09-19T08:36:10.000Z	[ "region:us" ]	nc33	null	null	null	0	Entry not found
bongo2112/alikiba-SDxl-Comic-Style-Outputs	2023-09-23T11:23:09.000Z	[ "region:us" ]	bongo2112	null	null	null	0	Entry not found
Falah/chapter2_0_prompts	2023-09-20T10:15:42.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3019 num_examples: 10 download_size: 4623 dataset_size: 3019 --- # Dataset Card for "chapter2_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter2_1_prompts	2023-09-20T10:15:50.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2873 num_examples: 14 download_size: 3760 dataset_size: 2873 --- # Dataset Card for "chapter2_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter3_0_prompts	2023-09-20T10:19:41.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 4051 num_examples: 13 download_size: 5038 dataset_size: 4051 --- # Dataset Card for "chapter3_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter3_1_prompts	2023-09-20T10:19:49.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3101 num_examples: 10 download_size: 4529 dataset_size: 3101 --- # Dataset Card for "chapter3_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter4_0_prompts	2023-09-19T08:54:27.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2120 num_examples: 6 download_size: 3737 dataset_size: 2120 --- # Dataset Card for "chapter4_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter4_1_prompts	2023-09-19T08:54:31.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3574 num_examples: 12 download_size: 4412 dataset_size: 3574 --- # Dataset Card for "chapter4_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter5_0_prompts	2023-09-19T08:56:33.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2858 num_examples: 8 download_size: 4636 dataset_size: 2858 --- # Dataset Card for "chapter5_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter5_1_prompts	2023-09-19T08:56:37.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3741 num_examples: 9 download_size: 5533 dataset_size: 3741 --- # Dataset Card for "chapter5_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter6_0_prompts	2023-09-19T08:58:22.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3832 num_examples: 15 download_size: 4044 dataset_size: 3832 --- # Dataset Card for "chapter6_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter6_1_prompts	2023-09-19T08:58:26.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2772 num_examples: 9 download_size: 3664 dataset_size: 2772 --- # Dataset Card for "chapter6_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter7_0_prompts	2023-09-19T08:59:28.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2761 num_examples: 9 download_size: 3857 dataset_size: 2761 --- # Dataset Card for "chapter7_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter7_1_prompts	2023-09-19T08:59:32.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3050 num_examples: 10 download_size: 3219 dataset_size: 3050 --- # Dataset Card for "chapter7_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter8_0_prompts	2023-09-19T09:00:33.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3238 num_examples: 11 download_size: 4431 dataset_size: 3238 --- # Dataset Card for "chapter8_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter8_1_prompts	2023-09-19T09:00:37.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2646 num_examples: 9 download_size: 3300 dataset_size: 2646 --- # Dataset Card for "chapter8_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter9_0_prompts	2023-09-19T09:01:48.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2878 num_examples: 10 download_size: 4316 dataset_size: 2878 --- # Dataset Card for "chapter9_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter9_1_prompts	2023-09-19T09:01:52.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3673 num_examples: 11 download_size: 4563 dataset_size: 3673 --- # Dataset Card for "chapter9_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
liaochuweidavid/swahili_emo	2023-09-19T09:23:02.000Z	[ "region:us" ]	liaochuweidavid	null	null	null	0	Entry not found
eswardivi/Malayalam_MSA	2023-09-19T09:37:24.000Z	[ "region:us" ]	eswardivi	null	null	null	0	--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: audio dtype: audio - name: label dtype: class_label: names: '0': Negative '1': Neutral '2': Positive splits: - name: train num_bytes: 91107974.0 num_examples: 70 download_size: 90971844 dataset_size: 91107974.0 --- # Dataset Card for "Malayalam_MSA" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter10_0_prompts	2023-09-19T16:05:31.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2212 num_examples: 6 download_size: 4047 dataset_size: 2212 --- # Dataset Card for "chapter10_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/chapter10_1_prompts	2023-09-19T16:05:34.000Z	[ "region:us" ]	Falah	null	null	null	0	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2850 num_examples: 10 download_size: 4171 dataset_size: 2850 --- # Dataset Card for "chapter10_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Andyrasika/cow_dataset	2023-09-19T09:57:01.000Z	[ "region:us" ]	Andyrasika	null	null	null	0	--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: int32 - name: image dtype: image splits: - name: train num_bytes: 145565588.0 num_examples: 51 download_size: 130979749 dataset_size: 145565588.0 --- # Dataset Card for "cow_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
lunaluan/chatbox2_history	2023-10-11T01:22:00.000Z	[ "region:us" ]	lunaluan	null	null	null	0	Entry not found
mrchtr/cc-test	2023-09-19T10:20:06.000Z	[ "region:us" ]	mrchtr	null	null	null	0	Entry not found
Back-up/review	2023-09-19T10:20:20.000Z	[ "region:us" ]	Back-up	null	null	null	0	Entry not found
Jan150000/visual	2023-09-19T10:30:00.000Z	[ "license:openrail", "region:us" ]	Jan150000	null	null	null	0	--- license: openrail ---
jj1000/files	2023-09-19T10:32:40.000Z	[ "region:us" ]	jj1000	null	null	null	0	Entry not found
Datasaur/mongabay-experiment	2023-09-19T10:51:05.000Z	[ "region:us" ]	Datasaur	null	null	null	0	Entry not found
dvrkdvys/ted_cruz	2023-09-19T11:26:34.000Z	[ "region:us" ]	dvrkdvys	null	null	null	0	Entry not found
HarshSinyal/AnomolyDetection_DL_PickleFile	2023-09-19T11:02:03.000Z	[ "license:afl-3.0", "region:us" ]	HarshSinyal	null	null	null	0	--- license: afl-3.0 ---
CyberHarem/xie_shen_chiyan_jashinchandropkick	2023-09-19T11:12:33.000Z	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	CyberHarem	null	null	null	0	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of 邪神ちゃん This is the dataset of 邪神ちゃん, containing 299 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)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 299 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 684 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 299 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 299 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 299 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 299 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 299 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 684 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 684 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 684 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|
CyberHarem/hua_yuan_yurine_jashinchandropkick	2023-09-19T11:38:22.000Z	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	CyberHarem	null	null	null	0	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of 花園ゆりね This is the dataset of 花園ゆりね, containing 276 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)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 276 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 638 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 276 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 276 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 276 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 276 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 276 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 638 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 638 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 638 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|
lunaluan/chatbox3_history	2023-10-11T01:22:16.000Z	[ "region:us" ]	lunaluan	null	null	null	0	Entry not found
AdrianM0/bicerano_polymers	2023-09-19T11:48:21.000Z	[ "license:mit", "region:us" ]	AdrianM0	null	null	null	0	--- license: mit ---
dhenypatungka/X-RealistcV.1.1	2023-09-19T11:54:46.000Z	[ "region:us" ]	dhenypatungka	null	null	null	0	Entry not found
CyberHarem/pekora_jashinchandropkick	2023-09-19T11:57:19.000Z	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	CyberHarem	null	null	null	0	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Pekora This is the dataset of Pekora, containing 276 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)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 276 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 627 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 276 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 276 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 276 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 276 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 276 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 627 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 627 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 627 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|
bongo2112/samia-SDxl-Comic-Style-Outputs	2023-09-19T12:06:54.000Z	[ "region:us" ]	bongo2112	null	null	null	0	Entry not found
CyberHarem/medeyusa_jashinchandropkick	2023-09-19T12:14:57.000Z	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	CyberHarem	null	null	null	0	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of メデューサ This is the dataset of メデューサ, containing 268 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)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 268 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 591 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 268 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 268 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 268 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 268 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 268 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 591 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 591 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 591 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|
vaibhavaHCL/English_fixlet_dataset_new	2023-09-19T12:13:44.000Z	[ "region:us" ]	vaibhavaHCL	null	null	null	0	Entry not found
yejeekang/legal_cn_instruction	2023-09-19T12:16:24.000Z	[ "license:afl-3.0", "region:us" ]	yejeekang	null	null	null	0	--- license: afl-3.0 ---
CyberHarem/minosu_jashinchandropkick	2023-09-19T12:35:55.000Z	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	CyberHarem	null	null	null	0	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of ミノス This is the dataset of ミノス, containing 283 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)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 283 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 673 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 283 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 283 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 283 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 283 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 283 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 673 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 673 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 673 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|
bongo2112/mwijaku-SDxl-Comic-Style-Outputs	2023-09-19T15:20:41.000Z	[ "region:us" ]	bongo2112	null	null	null	0	Entry not found
razagigz/dataset_storage	2023-09-26T10:57:28.000Z	[ "region:us" ]	razagigz	null	null	null	0	Entry not found
bongo2112/magufuli-SDxl-Comic-Style-Outputs	2023-09-19T15:55:28.000Z	[ "region:us" ]	bongo2112	null	null	null	0	Entry not found
CyberHarem/poporon_jashinchandropkick	2023-09-19T13:02:32.000Z	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	CyberHarem	null	null	null	0	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of ぽぽろん This is the dataset of ぽぽろん, containing 269 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)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 269 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 668 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 269 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 269 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 269 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 269 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 269 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 668 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 668 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 668 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|
CyberHarem/perusepone2shi_jashinchandropkick	2023-09-19T13:15:05.000Z	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	CyberHarem	null	null	null	0	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of ペルセポネ2世 This is the dataset of ペルセポネ2世, containing 144 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)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 144 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 330 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 144 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 144 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 144 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 144 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 144 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 330 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 330 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 330 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|
CyberHarem/rieru_jashinchandropkick	2023-09-19T13:29:16.000Z	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	CyberHarem	null	null	null	0	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of リエール This is the dataset of リエール, containing 178 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)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 178 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 363 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 178 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 178 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 178 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 178 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 178 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 363 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 363 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 363 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|
CyberHarem/pino_jashinchandropkick	2023-09-19T13:51:07.000Z	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	CyberHarem	null	null	null	0	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of ぴの This is the dataset of ぴの, containing 201 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)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 201 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 480 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 201 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 201 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 201 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 201 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 201 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 480 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 480 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 480 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|
xlzoiolx/loud-coringa-v0111	2023-09-19T14:00:10.000Z	[ "license:cc", "region:us" ]	xlzoiolx	null	null	null	0	--- license: cc ---
DialogueCharacter/chinese_general_instruction_with_reward_score	2023-09-19T14:07:52.000Z	[ "region:us" ]	DialogueCharacter	null	null	null	1	--- dataset_info: features: - name: input dtype: string - name: output dtype: string - name: reward_score dtype: float64 splits: - name: train num_bytes: 1634095908 num_examples: 1169201 download_size: 998968518 dataset_size: 1634095908 --- # Dataset Card for "chinese_general_instruction_with_reward_score" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
DSSGxMunich/land_parcels	2023-10-06T10:54:12.000Z	[ "license:mit", "region:us" ]	DSSGxMunich	null	null	null	1	--- license: mit --- # Dataset Card for Land Parcels ## Dataset Description Homepage: [DSSGx Munich](https://sites.google.com/view/dssgx-munich-2023/startseite) organization page. Repository: [GitHub](https://github.com/DSSGxMunich/land-sealing-dataset-and-analysis). ### Dataset Summary This dataset contains information about land parcels with building plans in the region of Northern-Rhine Westphalia. It was downloaded from the [NRW Geoportal.](https://www.geoportal.nrw/?activetab=portal) ## Dataset Structure ### Data Fields - objectid: Unique ID used for each land parcel. - planid: ID from the Geoportal. - levelplan: Spatial plan level. Classification scheme specified, required according to the INSPIRE term “infra-local”. - name: Name of building plan. - kommune: Municipality. - gkz: Municipal code of the municipality. - nr: In the municipality only once occurring number of the plan. Can also combine letters and numbers. The numbering system should be defined by the municipality before the first plan entry. - besch: Brief description of the building plan. - aend: Use dependent on building name and reference to change. - aendert: The ID of the original plan that is being changed. - stand: According to code list legal status. - planart: Type of plan/statute. - datum: Date of building plan. - scanurl: URL of the scanned building plan. - texturl: URL to textual determinations, necessary if scanned plan does not contain them. - legendeurl: URL to the plan symbols (legend) necessary, if plan symbols and determinations are available separately. - sonsturl: If the URL under "Document" only links to the actual plan drawing (without supplementary documents), then a URL must be added under this field, under which the corresponding additional content (such as expert opinions) can be found. - verfahren: Type of plan procedure. - plantyp: The type of the plan. - aendnr: Number of the modified plan. - begruendurl: URL for justification. Necessary if justification and determinations are available separately. - umweltberurl: URL to the environmental report. Necessary if report and determinations are available separately. - erklaerungurl: URL to the recapitulative statement. Necessary if declaration and determinations are available separately. - shape_Length: The length of the land parcel - shape_Area: The area of the land parcel - regional_plan_id: Unique ID of regional plan the land parcel is in. - regional_plan_name: Name of the regional plan the land parcel is in. - ART: Unique ID of regional plan the land parcel is in. - geometry: Geographical location of the land parcel. More information on this fields can be found in the NRW documentation [here](https://www.bauportal.nrw/system/files/media/document/file/21-12-08-bauleitplanung_benutzerhandbuch.pdf). ### Source Data #### Initial Data Collection The data was downloaded from the NRW Geoportal, selecting the information of building plans and exporting the features as a GeoJSon in QGIS.
abbottcolette/storage	2023-09-19T14:39:32.000Z	[ "region:us" ]	abbottcolette	null	null	null	0	Entry not found
justinpinkney/pokemon-blip-captions-wds	2023-09-19T14:32:11.000Z	[ "region:us" ]	justinpinkney	null	null	null	0	Webdataset version of: [lambdalabs/pokemon-blip-captions](https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions)
basncy/test-set	2023-09-19T14:38:45.000Z	[ "license:apache-2.0", "region:us" ]	basncy	null	null	null	0	--- license: apache-2.0 ---
DucHaiten/NSFW	2023-10-10T06:20:57.000Z	[ "license:creativeml-openrail-m", "region:us" ]	DucHaiten	null	null	null	0	--- license: creativeml-openrail-m ---
vikp/clean_notebooks_filtered	2023-09-19T16:02:46.000Z	[ "region:us" ]	vikp	null	null	null	0	--- dataset_info: features: - name: code dtype: string - name: kind dtype: string - name: parsed_code dtype: string - name: quality_prob dtype: float64 - name: learning_prob dtype: float64 splits: - name: train num_bytes: 3018948094.822456 num_examples: 195900 download_size: 1476349379 dataset_size: 3018948094.822456 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "clean_notebooks_filtered" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
newdboy/cj_ko_words	2023-09-19T15:58:43.000Z	[ "license:openrail", "region:us" ]	newdboy	null	null	null	0	--- license: openrail ---
linhqyy/data_aug_full	2023-09-19T16:02:48.000Z	[ "region:us" ]	linhqyy	null	null	null	0	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: sentence dtype: string - name: intent dtype: string - name: entities list: - name: type dtype: string - name: filler dtype: string - name: labels dtype: string splits: - name: train num_bytes: 1710412 num_examples: 8096 - name: test num_bytes: 147335 num_examples: 704 download_size: 439882 dataset_size: 1857747 --- # Dataset Card for "data_aug_full" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CyberHarem/yoshida_yuko_thedemongirlnextdoor	2023-09-19T16:18:14.000Z	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	CyberHarem	null	null	null	0	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Yoshida Yuko This is the dataset of Yoshida Yuko, containing 300 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)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 300 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 729 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 300 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 300 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 300 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 300 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 300 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 729 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 729 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 729 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|
Gilderlan/dataset	2023-09-19T16:29:13.000Z	[ "region:us" ]	Gilderlan	null	null	null	0	Entry not found
mashiramaru/achylisflie	2023-09-19T16:44:59.000Z	[ "license:other", "region:us" ]	mashiramaru	null	null	null	0	--- license: other ---
toninhodjj/khortex	2023-09-19T16:53:43.000Z	[ "region:us" ]	toninhodjj	null	null	null	0	Entry not found
CyberHarem/chiyoda_momo_thedemongirlnextdoor	2023-09-19T17:07:50.000Z	[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]	CyberHarem	null	null	null	0	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Chiyoda Momo This is the dataset of Chiyoda Momo, containing 296 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)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 296 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 749 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 296 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 296 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 296 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 296 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 296 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 749 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 749 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 749 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|

Juamzinhu/Daishikawa

2023-09-18T22:18:04.000Z

[ "region:us" ]

Juamzinhu

null

0

Entry not found

jac12/jen

2023-09-18T23:18:10.000Z

[ "region:us" ]

jac12

null

0

Entry not found

jac12/mie

2023-09-24T06:39:59.000Z

[ "region:us" ]

jac12

null

0

Entry not found

bsankar/github-issues

2023-09-18T23:33:52.000Z

[ "region:us" ]

bsankar

null

0

--- 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: 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: 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: is_pull_request dtype: bool - name: is_closed dtype: bool - name: close_time dtype: duration[us] splits: - name: train num_bytes: 12125043 num_examples: 1000 download_size: 3282501 dataset_size: 12125043 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "github-issues" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_lloorree__kssht-dahj-70b

2023-09-18T23:52:21.000Z

[ "region:us" ]

open-llm-leaderboard

null

0

--- pretty_name: Evaluation run of lloorree/kssht-dahj-70b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [lloorree/kssht-dahj-70b](https://huggingface.co/lloorree/kssht-dahj-70b) on the\ \ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_lloorree__kssht-dahj-70b\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-09-18T23:50:58.093131](https://huggingface.co/datasets/open-llm-leaderboard/details_lloorree__kssht-dahj-70b/blob/main/results_2023-09-18T23-50-58.093131.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\": 0.7033014017574061,\n\ \ \"acc_stderr\": 0.03081446175839962,\n \"acc_norm\": 0.7072547203046122,\n\ \ \"acc_norm_stderr\": 0.03078306684205309,\n \"mc1\": 0.42962056303549573,\n\ \ \"mc1_stderr\": 0.017329234580409098,\n \"mc2\": 0.5891645864509103,\n\ \ \"mc2_stderr\": 0.015115214729699759\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6612627986348123,\n \"acc_stderr\": 0.013830568927974332,\n\ \ \"acc_norm\": 0.7081911262798635,\n \"acc_norm_stderr\": 0.013284525292403515\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6867157936666003,\n\ \ \"acc_stderr\": 0.0046288092584835265,\n \"acc_norm\": 0.8730332603067118,\n\ \ \"acc_norm_stderr\": 0.003322552829608905\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\": 0.6592592592592592,\n\ \ \"acc_stderr\": 0.04094376269996793,\n \"acc_norm\": 0.6592592592592592,\n\ \ \"acc_norm_stderr\": 0.04094376269996793\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.8289473684210527,\n \"acc_stderr\": 0.030643607071677098,\n\ \ \"acc_norm\": 0.8289473684210527,\n \"acc_norm_stderr\": 0.030643607071677098\n\ \ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\ : {\n \"acc\": 0.7283018867924528,\n \"acc_stderr\": 0.027377706624670713,\n\ \ \"acc_norm\": 0.7283018867924528,\n \"acc_norm_stderr\": 0.027377706624670713\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8194444444444444,\n\ \ \"acc_stderr\": 0.032166008088022675,\n \"acc_norm\": 0.8194444444444444,\n\ \ \"acc_norm_stderr\": 0.032166008088022675\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\"\ : 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.54,\n\ \ \"acc_norm_stderr\": 0.05009082659620332\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\": 0.6705202312138728,\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\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082635,\n\ \ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082635\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.7021276595744681,\n \"acc_stderr\": 0.029896145682095455,\n\ \ \"acc_norm\": 0.7021276595744681,\n \"acc_norm_stderr\": 0.029896145682095455\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4824561403508772,\n\ \ \"acc_stderr\": 0.0470070803355104,\n \"acc_norm\": 0.4824561403508772,\n\ \ \"acc_norm_stderr\": 0.0470070803355104\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.6413793103448275,\n \"acc_stderr\": 0.03996629574876719,\n\ \ \"acc_norm\": 0.6413793103448275,\n \"acc_norm_stderr\": 0.03996629574876719\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4470899470899471,\n \"acc_stderr\": 0.025606723995777025,\n \"\ acc_norm\": 0.4470899470899471,\n \"acc_norm_stderr\": 0.025606723995777025\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5079365079365079,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.5079365079365079,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.05016135580465919\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.8193548387096774,\n\ \ \"acc_stderr\": 0.021886178567172534,\n \"acc_norm\": 0.8193548387096774,\n\ \ \"acc_norm_stderr\": 0.021886178567172534\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.541871921182266,\n \"acc_stderr\": 0.03505630140785741,\n\ \ \"acc_norm\": 0.541871921182266,\n \"acc_norm_stderr\": 0.03505630140785741\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.81,\n \"acc_stderr\": 0.039427724440366234,\n \"acc_norm\"\ : 0.81,\n \"acc_norm_stderr\": 0.039427724440366234\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.8424242424242424,\n \"acc_stderr\": 0.02845038880528437,\n\ \ \"acc_norm\": 0.8424242424242424,\n \"acc_norm_stderr\": 0.02845038880528437\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8636363636363636,\n \"acc_stderr\": 0.024450155973189835,\n \"\ acc_norm\": 0.8636363636363636,\n \"acc_norm_stderr\": 0.024450155973189835\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9326424870466321,\n \"acc_stderr\": 0.018088393839078912,\n\ \ \"acc_norm\": 0.9326424870466321,\n \"acc_norm_stderr\": 0.018088393839078912\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.7282051282051282,\n \"acc_stderr\": 0.02255655101013236,\n \ \ \"acc_norm\": 0.7282051282051282,\n \"acc_norm_stderr\": 0.02255655101013236\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\": 0.7815126050420168,\n \"acc_stderr\": 0.02684151432295894,\n \ \ \"acc_norm\": 0.7815126050420168,\n \"acc_norm_stderr\": 0.02684151432295894\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.46357615894039733,\n \"acc_stderr\": 0.04071636065944215,\n \"\ acc_norm\": 0.46357615894039733,\n \"acc_norm_stderr\": 0.04071636065944215\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.908256880733945,\n \"acc_stderr\": 0.012376323409137103,\n \"\ acc_norm\": 0.908256880733945,\n \"acc_norm_stderr\": 0.012376323409137103\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5833333333333334,\n \"acc_stderr\": 0.03362277436608043,\n \"\ acc_norm\": 0.5833333333333334,\n \"acc_norm_stderr\": 0.03362277436608043\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.9215686274509803,\n \"acc_stderr\": 0.018869514646658928,\n \"\ acc_norm\": 0.9215686274509803,\n \"acc_norm_stderr\": 0.018869514646658928\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8987341772151899,\n \"acc_stderr\": 0.019637720526065498,\n \ \ \"acc_norm\": 0.8987341772151899,\n \"acc_norm_stderr\": 0.019637720526065498\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7982062780269058,\n\ \ \"acc_stderr\": 0.02693611191280227,\n \"acc_norm\": 0.7982062780269058,\n\ \ \"acc_norm_stderr\": 0.02693611191280227\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8702290076335878,\n \"acc_stderr\": 0.029473649496907065,\n\ \ \"acc_norm\": 0.8702290076335878,\n \"acc_norm_stderr\": 0.029473649496907065\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8760330578512396,\n \"acc_stderr\": 0.030083098716035202,\n \"\ acc_norm\": 0.8760330578512396,\n \"acc_norm_stderr\": 0.030083098716035202\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8240740740740741,\n\ \ \"acc_stderr\": 0.036809181416738807,\n \"acc_norm\": 0.8240740740740741,\n\ \ \"acc_norm_stderr\": 0.036809181416738807\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.8159509202453987,\n \"acc_stderr\": 0.03044677768797173,\n\ \ \"acc_norm\": 0.8159509202453987,\n \"acc_norm_stderr\": 0.03044677768797173\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\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8931623931623932,\n\ \ \"acc_stderr\": 0.02023714900899093,\n \"acc_norm\": 0.8931623931623932,\n\ \ \"acc_norm_stderr\": 0.02023714900899093\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542127,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542127\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8735632183908046,\n\ \ \"acc_stderr\": 0.011884488905895538,\n \"acc_norm\": 0.8735632183908046,\n\ \ \"acc_norm_stderr\": 0.011884488905895538\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7832369942196532,\n \"acc_stderr\": 0.022183477668412856,\n\ \ \"acc_norm\": 0.7832369942196532,\n \"acc_norm_stderr\": 0.022183477668412856\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.6458100558659218,\n\ \ \"acc_stderr\": 0.015995644947299225,\n \"acc_norm\": 0.6458100558659218,\n\ \ \"acc_norm_stderr\": 0.015995644947299225\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7679738562091504,\n \"acc_stderr\": 0.024170840879340873,\n\ \ \"acc_norm\": 0.7679738562091504,\n \"acc_norm_stderr\": 0.024170840879340873\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.77491961414791,\n\ \ \"acc_stderr\": 0.023720088516179027,\n \"acc_norm\": 0.77491961414791,\n\ \ \"acc_norm_stderr\": 0.023720088516179027\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.8240740740740741,\n \"acc_stderr\": 0.021185893615225184,\n\ \ \"acc_norm\": 0.8240740740740741,\n \"acc_norm_stderr\": 0.021185893615225184\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.574468085106383,\n \"acc_stderr\": 0.029494827600144366,\n \ \ \"acc_norm\": 0.574468085106383,\n \"acc_norm_stderr\": 0.029494827600144366\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5612777053455019,\n\ \ \"acc_stderr\": 0.012673969883493268,\n \"acc_norm\": 0.5612777053455019,\n\ \ \"acc_norm_stderr\": 0.012673969883493268\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.7389705882352942,\n \"acc_stderr\": 0.02667925227010314,\n\ \ \"acc_norm\": 0.7389705882352942,\n \"acc_norm_stderr\": 0.02667925227010314\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.7696078431372549,\n \"acc_stderr\": 0.01703522925803403,\n \ \ \"acc_norm\": 0.7696078431372549,\n \"acc_norm_stderr\": 0.01703522925803403\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7090909090909091,\n\ \ \"acc_stderr\": 0.04350271442923243,\n \"acc_norm\": 0.7090909090909091,\n\ \ \"acc_norm_stderr\": 0.04350271442923243\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.8122448979591836,\n \"acc_stderr\": 0.025000256039546195,\n\ \ \"acc_norm\": 0.8122448979591836,\n \"acc_norm_stderr\": 0.025000256039546195\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8955223880597015,\n\ \ \"acc_stderr\": 0.021628920516700637,\n \"acc_norm\": 0.8955223880597015,\n\ \ \"acc_norm_stderr\": 0.021628920516700637\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\": 0.5481927710843374,\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\": 0.8713450292397661,\n \"acc_stderr\": 0.025679342723276915,\n\ \ \"acc_norm\": 0.8713450292397661,\n \"acc_norm_stderr\": 0.025679342723276915\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.42962056303549573,\n\ \ \"mc1_stderr\": 0.017329234580409098,\n \"mc2\": 0.5891645864509103,\n\ \ \"mc2_stderr\": 0.015115214729699759\n }\n}\n```" repo_url: https://huggingface.co/lloorree/kssht-dahj-70b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|arc:challenge|25_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hellaswag|10_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-18T23-50-58.093131.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-management|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-virology|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-18T23-50-58.093131.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_18T23_50_58.093131 path: - '**/details_harness|truthfulqa:mc|0_2023-09-18T23-50-58.093131.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-09-18T23-50-58.093131.parquet' - config_name: results data_files: - split: 2023_09_18T23_50_58.093131 path: - results_2023-09-18T23-50-58.093131.parquet - split: latest path: - results_2023-09-18T23-50-58.093131.parquet --- # Dataset Card for Evaluation run of lloorree/kssht-dahj-70b ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/lloorree/kssht-dahj-70b - **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 [lloorree/kssht-dahj-70b](https://huggingface.co/lloorree/kssht-dahj-70b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_lloorree__kssht-dahj-70b", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-09-18T23:50:58.093131](https://huggingface.co/datasets/open-llm-leaderboard/details_lloorree__kssht-dahj-70b/blob/main/results_2023-09-18T23-50-58.093131.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": 0.7033014017574061, "acc_stderr": 0.03081446175839962, "acc_norm": 0.7072547203046122, "acc_norm_stderr": 0.03078306684205309, "mc1": 0.42962056303549573, "mc1_stderr": 0.017329234580409098, "mc2": 0.5891645864509103, "mc2_stderr": 0.015115214729699759 }, "harness|arc:challenge|25": { "acc": 0.6612627986348123, "acc_stderr": 0.013830568927974332, "acc_norm": 0.7081911262798635, "acc_norm_stderr": 0.013284525292403515 }, "harness|hellaswag|10": { "acc": 0.6867157936666003, "acc_stderr": 0.0046288092584835265, "acc_norm": 0.8730332603067118, "acc_norm_stderr": 0.003322552829608905 }, "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": 0.6592592592592592, "acc_stderr": 0.04094376269996793, "acc_norm": 0.6592592592592592, "acc_norm_stderr": 0.04094376269996793 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8289473684210527, "acc_stderr": 0.030643607071677098, "acc_norm": 0.8289473684210527, "acc_norm_stderr": 0.030643607071677098 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.76, "acc_stderr": 0.04292346959909283, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7283018867924528, "acc_stderr": 0.027377706624670713, "acc_norm": 0.7283018867924528, "acc_norm_stderr": 0.027377706624670713 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8194444444444444, "acc_stderr": 0.032166008088022675, "acc_norm": 0.8194444444444444, "acc_norm_stderr": 0.032166008088022675 }, "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": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "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": 0.6705202312138728, "acc_stderr": 0.03583901754736412, "acc_norm": 0.6705202312138728, "acc_norm_stderr": 0.03583901754736412 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.37254901960784315, "acc_stderr": 0.04810840148082635, "acc_norm": 0.37254901960784315, "acc_norm_stderr": 0.04810840148082635 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7021276595744681, "acc_stderr": 0.029896145682095455, "acc_norm": 0.7021276595744681, "acc_norm_stderr": 0.029896145682095455 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4824561403508772, "acc_stderr": 0.0470070803355104, "acc_norm": 0.4824561403508772, "acc_norm_stderr": 0.0470070803355104 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6413793103448275, "acc_stderr": 0.03996629574876719, "acc_norm": 0.6413793103448275, "acc_norm_stderr": 0.03996629574876719 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4470899470899471, "acc_stderr": 0.025606723995777025, "acc_norm": 0.4470899470899471, "acc_norm_stderr": 0.025606723995777025 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5079365079365079, "acc_stderr": 0.044715725362943486, "acc_norm": 0.5079365079365079, "acc_norm_stderr": 0.044715725362943486 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8193548387096774, "acc_stderr": 0.021886178567172534, "acc_norm": 0.8193548387096774, "acc_norm_stderr": 0.021886178567172534 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.541871921182266, "acc_stderr": 0.03505630140785741, "acc_norm": 0.541871921182266, "acc_norm_stderr": 0.03505630140785741 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.81, "acc_stderr": 0.039427724440366234, "acc_norm": 0.81, "acc_norm_stderr": 0.039427724440366234 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8424242424242424, "acc_stderr": 0.02845038880528437, "acc_norm": 0.8424242424242424, "acc_norm_stderr": 0.02845038880528437 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8636363636363636, "acc_stderr": 0.024450155973189835, "acc_norm": 0.8636363636363636, "acc_norm_stderr": 0.024450155973189835 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9326424870466321, "acc_stderr": 0.018088393839078912, "acc_norm": 0.9326424870466321, "acc_norm_stderr": 0.018088393839078912 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7282051282051282, "acc_stderr": 0.02255655101013236, "acc_norm": 0.7282051282051282, "acc_norm_stderr": 0.02255655101013236 }, "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": 0.7815126050420168, "acc_stderr": 0.02684151432295894, "acc_norm": 0.7815126050420168, "acc_norm_stderr": 0.02684151432295894 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.46357615894039733, "acc_stderr": 0.04071636065944215, "acc_norm": 0.46357615894039733, "acc_norm_stderr": 0.04071636065944215 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.908256880733945, "acc_stderr": 0.012376323409137103, "acc_norm": 0.908256880733945, "acc_norm_stderr": 0.012376323409137103 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5833333333333334, "acc_stderr": 0.03362277436608043, "acc_norm": 0.5833333333333334, "acc_norm_stderr": 0.03362277436608043 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.9215686274509803, "acc_stderr": 0.018869514646658928, "acc_norm": 0.9215686274509803, "acc_norm_stderr": 0.018869514646658928 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8987341772151899, "acc_stderr": 0.019637720526065498, "acc_norm": 0.8987341772151899, "acc_norm_stderr": 0.019637720526065498 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.7982062780269058, "acc_stderr": 0.02693611191280227, "acc_norm": 0.7982062780269058, "acc_norm_stderr": 0.02693611191280227 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8702290076335878, "acc_stderr": 0.029473649496907065, "acc_norm": 0.8702290076335878, "acc_norm_stderr": 0.029473649496907065 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8760330578512396, "acc_stderr": 0.030083098716035202, "acc_norm": 0.8760330578512396, "acc_norm_stderr": 0.030083098716035202 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8240740740740741, "acc_stderr": 0.036809181416738807, "acc_norm": 0.8240740740740741, "acc_norm_stderr": 0.036809181416738807 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.8159509202453987, "acc_stderr": 0.03044677768797173, "acc_norm": 0.8159509202453987, "acc_norm_stderr": 0.03044677768797173 }, "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": 0.8155339805825242, "acc_stderr": 0.03840423627288276, "acc_norm": 0.8155339805825242, "acc_norm_stderr": 0.03840423627288276 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8931623931623932, "acc_stderr": 0.02023714900899093, "acc_norm": 0.8931623931623932, "acc_norm_stderr": 0.02023714900899093 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.72, "acc_stderr": 0.04512608598542127, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8735632183908046, "acc_stderr": 0.011884488905895538, "acc_norm": 0.8735632183908046, "acc_norm_stderr": 0.011884488905895538 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7832369942196532, "acc_stderr": 0.022183477668412856, "acc_norm": 0.7832369942196532, "acc_norm_stderr": 0.022183477668412856 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.6458100558659218, "acc_stderr": 0.015995644947299225, "acc_norm": 0.6458100558659218, "acc_norm_stderr": 0.015995644947299225 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7679738562091504, "acc_stderr": 0.024170840879340873, "acc_norm": 0.7679738562091504, "acc_norm_stderr": 0.024170840879340873 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.77491961414791, "acc_stderr": 0.023720088516179027, "acc_norm": 0.77491961414791, "acc_norm_stderr": 0.023720088516179027 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.8240740740740741, "acc_stderr": 0.021185893615225184, "acc_norm": 0.8240740740740741, "acc_norm_stderr": 0.021185893615225184 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.574468085106383, "acc_stderr": 0.029494827600144366, "acc_norm": 0.574468085106383, "acc_norm_stderr": 0.029494827600144366 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.5612777053455019, "acc_stderr": 0.012673969883493268, "acc_norm": 0.5612777053455019, "acc_norm_stderr": 0.012673969883493268 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.7389705882352942, "acc_stderr": 0.02667925227010314, "acc_norm": 0.7389705882352942, "acc_norm_stderr": 0.02667925227010314 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.7696078431372549, "acc_stderr": 0.01703522925803403, "acc_norm": 0.7696078431372549, "acc_norm_stderr": 0.01703522925803403 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7090909090909091, "acc_stderr": 0.04350271442923243, "acc_norm": 0.7090909090909091, "acc_norm_stderr": 0.04350271442923243 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.8122448979591836, "acc_stderr": 0.025000256039546195, "acc_norm": 0.8122448979591836, "acc_norm_stderr": 0.025000256039546195 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8955223880597015, "acc_stderr": 0.021628920516700637, "acc_norm": 0.8955223880597015, "acc_norm_stderr": 0.021628920516700637 }, "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": 0.5481927710843374, "acc_stderr": 0.03874371556587953, "acc_norm": 0.5481927710843374, "acc_norm_stderr": 0.03874371556587953 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8713450292397661, "acc_stderr": 0.025679342723276915, "acc_norm": 0.8713450292397661, "acc_norm_stderr": 0.025679342723276915 }, "harness|truthfulqa:mc|0": { "mc1": 0.42962056303549573, "mc1_stderr": 0.017329234580409098, "mc2": 0.5891645864509103, "mc2_stderr": 0.015115214729699759 } } ``` ### 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_lloorree__kssht-castor-70b

2023-09-18T23:56:08.000Z

[ "region:us" ]

open-llm-leaderboard

null

0

--- pretty_name: Evaluation run of lloorree/kssht-castor-70b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [lloorree/kssht-castor-70b](https://huggingface.co/lloorree/kssht-castor-70b)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_lloorree__kssht-castor-70b\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-09-18T23:54:47.734205](https://huggingface.co/datasets/open-llm-leaderboard/details_lloorree__kssht-castor-70b/blob/main/results_2023-09-18T23-54-47.734205.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\": 0.7025630433354887,\n\ \ \"acc_stderr\": 0.03070323641112233,\n \"acc_norm\": 0.7065431366848456,\n\ \ \"acc_norm_stderr\": 0.03067233267965294,\n \"mc1\": 0.40024479804161567,\n\ \ \"mc1_stderr\": 0.01715160555574914,\n \"mc2\": 0.5630669446354012,\n\ \ \"mc2_stderr\": 0.014865953800030475\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6501706484641638,\n \"acc_stderr\": 0.01393680921215829,\n\ \ \"acc_norm\": 0.6953924914675768,\n \"acc_norm_stderr\": 0.01344952210993249\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6857199761003784,\n\ \ \"acc_stderr\": 0.004632797375289762,\n \"acc_norm\": 0.8753236407090221,\n\ \ \"acc_norm_stderr\": 0.003296764320821918\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\": 0.6518518518518519,\n\ \ \"acc_stderr\": 0.041153246103369526,\n \"acc_norm\": 0.6518518518518519,\n\ \ \"acc_norm_stderr\": 0.041153246103369526\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.8486842105263158,\n \"acc_stderr\": 0.02916263159684399,\n\ \ \"acc_norm\": 0.8486842105263158,\n \"acc_norm_stderr\": 0.02916263159684399\n\ \ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\ : {\n \"acc\": 0.720754716981132,\n \"acc_stderr\": 0.027611163402399715,\n\ \ \"acc_norm\": 0.720754716981132,\n \"acc_norm_stderr\": 0.027611163402399715\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8472222222222222,\n\ \ \"acc_stderr\": 0.030085743248565666,\n \"acc_norm\": 0.8472222222222222,\n\ \ \"acc_norm_stderr\": 0.030085743248565666\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n\ \ \"acc_norm_stderr\": 0.04988876515698589\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\": 0.6473988439306358,\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\": 0.35294117647058826,\n \"acc_stderr\": 0.047551296160629475,\n\ \ \"acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.047551296160629475\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932262,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932262\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.6978723404255319,\n \"acc_stderr\": 0.030017554471880557,\n\ \ \"acc_norm\": 0.6978723404255319,\n \"acc_norm_stderr\": 0.030017554471880557\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4649122807017544,\n\ \ \"acc_stderr\": 0.04692008381368909,\n \"acc_norm\": 0.4649122807017544,\n\ \ \"acc_norm_stderr\": 0.04692008381368909\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.6551724137931034,\n \"acc_stderr\": 0.03960933549451207,\n\ \ \"acc_norm\": 0.6551724137931034,\n \"acc_norm_stderr\": 0.03960933549451207\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4365079365079365,\n \"acc_stderr\": 0.0255428468174005,\n \"acc_norm\"\ : 0.4365079365079365,\n \"acc_norm_stderr\": 0.0255428468174005\n },\n\ \ \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.48412698412698413,\n\ \ \"acc_stderr\": 0.04469881854072606,\n \"acc_norm\": 0.48412698412698413,\n\ \ \"acc_norm_stderr\": 0.04469881854072606\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\"\ : 0.8193548387096774,\n \"acc_stderr\": 0.021886178567172523,\n \"\ acc_norm\": 0.8193548387096774,\n \"acc_norm_stderr\": 0.021886178567172523\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.5566502463054187,\n \"acc_stderr\": 0.03495334582162933,\n \"\ acc_norm\": 0.5566502463054187,\n \"acc_norm_stderr\": 0.03495334582162933\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|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-high_school_european_history|5\"\ : {\n \"acc\": 0.8303030303030303,\n \"acc_stderr\": 0.029311188674983134,\n\ \ \"acc_norm\": 0.8303030303030303,\n \"acc_norm_stderr\": 0.029311188674983134\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8737373737373737,\n \"acc_stderr\": 0.023664359402880236,\n \"\ acc_norm\": 0.8737373737373737,\n \"acc_norm_stderr\": 0.023664359402880236\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9430051813471503,\n \"acc_stderr\": 0.016731085293607555,\n\ \ \"acc_norm\": 0.9430051813471503,\n \"acc_norm_stderr\": 0.016731085293607555\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.7128205128205128,\n \"acc_stderr\": 0.022939925418530616,\n\ \ \"acc_norm\": 0.7128205128205128,\n \"acc_norm_stderr\": 0.022939925418530616\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.34074074074074073,\n \"acc_stderr\": 0.028897748741131143,\n \ \ \"acc_norm\": 0.34074074074074073,\n \"acc_norm_stderr\": 0.028897748741131143\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.7647058823529411,\n \"acc_stderr\": 0.027553614467863804,\n\ \ \"acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.027553614467863804\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.47019867549668876,\n \"acc_stderr\": 0.040752249922169775,\n \"\ acc_norm\": 0.47019867549668876,\n \"acc_norm_stderr\": 0.040752249922169775\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.9027522935779817,\n \"acc_stderr\": 0.012703533408540366,\n \"\ acc_norm\": 0.9027522935779817,\n \"acc_norm_stderr\": 0.012703533408540366\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.6064814814814815,\n \"acc_stderr\": 0.03331747876370312,\n \"\ acc_norm\": 0.6064814814814815,\n \"acc_norm_stderr\": 0.03331747876370312\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.9264705882352942,\n \"acc_stderr\": 0.01831885585008968,\n \"\ acc_norm\": 0.9264705882352942,\n \"acc_norm_stderr\": 0.01831885585008968\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8860759493670886,\n \"acc_stderr\": 0.020681745135884565,\n \ \ \"acc_norm\": 0.8860759493670886,\n \"acc_norm_stderr\": 0.020681745135884565\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7937219730941704,\n\ \ \"acc_stderr\": 0.02715715047956382,\n \"acc_norm\": 0.7937219730941704,\n\ \ \"acc_norm_stderr\": 0.02715715047956382\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8778625954198473,\n \"acc_stderr\": 0.028718776889342337,\n\ \ \"acc_norm\": 0.8778625954198473,\n \"acc_norm_stderr\": 0.028718776889342337\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8760330578512396,\n \"acc_stderr\": 0.030083098716035202,\n \"\ acc_norm\": 0.8760330578512396,\n \"acc_norm_stderr\": 0.030083098716035202\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8425925925925926,\n\ \ \"acc_stderr\": 0.035207039905179635,\n \"acc_norm\": 0.8425925925925926,\n\ \ \"acc_norm_stderr\": 0.035207039905179635\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.8159509202453987,\n \"acc_stderr\": 0.03044677768797173,\n\ \ \"acc_norm\": 0.8159509202453987,\n \"acc_norm_stderr\": 0.03044677768797173\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\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.905982905982906,\n\ \ \"acc_stderr\": 0.01911989279892498,\n \"acc_norm\": 0.905982905982906,\n\ \ \"acc_norm_stderr\": 0.01911989279892498\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542126,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542126\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8684546615581098,\n\ \ \"acc_stderr\": 0.01208670521425043,\n \"acc_norm\": 0.8684546615581098,\n\ \ \"acc_norm_stderr\": 0.01208670521425043\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.791907514450867,\n \"acc_stderr\": 0.021855255263421795,\n\ \ \"acc_norm\": 0.791907514450867,\n \"acc_norm_stderr\": 0.021855255263421795\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.5463687150837989,\n\ \ \"acc_stderr\": 0.016650437588269076,\n \"acc_norm\": 0.5463687150837989,\n\ \ \"acc_norm_stderr\": 0.016650437588269076\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7777777777777778,\n \"acc_stderr\": 0.023805186524888156,\n\ \ \"acc_norm\": 0.7777777777777778,\n \"acc_norm_stderr\": 0.023805186524888156\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7717041800643086,\n\ \ \"acc_stderr\": 0.0238393033113982,\n \"acc_norm\": 0.7717041800643086,\n\ \ \"acc_norm_stderr\": 0.0238393033113982\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.8425925925925926,\n \"acc_stderr\": 0.020263764996385717,\n\ \ \"acc_norm\": 0.8425925925925926,\n \"acc_norm_stderr\": 0.020263764996385717\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.5638297872340425,\n \"acc_stderr\": 0.029583452036284076,\n \ \ \"acc_norm\": 0.5638297872340425,\n \"acc_norm_stderr\": 0.029583452036284076\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5541069100391134,\n\ \ \"acc_stderr\": 0.012695244711379783,\n \"acc_norm\": 0.5541069100391134,\n\ \ \"acc_norm_stderr\": 0.012695244711379783\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.7426470588235294,\n \"acc_stderr\": 0.0265565194700415,\n\ \ \"acc_norm\": 0.7426470588235294,\n \"acc_norm_stderr\": 0.0265565194700415\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.7679738562091504,\n \"acc_stderr\": 0.01707737337785693,\n \ \ \"acc_norm\": 0.7679738562091504,\n \"acc_norm_stderr\": 0.01707737337785693\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7181818181818181,\n\ \ \"acc_stderr\": 0.04309118709946458,\n \"acc_norm\": 0.7181818181818181,\n\ \ \"acc_norm_stderr\": 0.04309118709946458\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.8163265306122449,\n \"acc_stderr\": 0.024789071332007636,\n\ \ \"acc_norm\": 0.8163265306122449,\n \"acc_norm_stderr\": 0.024789071332007636\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8905472636815921,\n\ \ \"acc_stderr\": 0.022076326101824664,\n \"acc_norm\": 0.8905472636815921,\n\ \ \"acc_norm_stderr\": 0.022076326101824664\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.91,\n \"acc_stderr\": 0.028762349126466125,\n \ \ \"acc_norm\": 0.91,\n \"acc_norm_stderr\": 0.028762349126466125\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\": 0.8713450292397661,\n \"acc_stderr\": 0.02567934272327692,\n\ \ \"acc_norm\": 0.8713450292397661,\n \"acc_norm_stderr\": 0.02567934272327692\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.40024479804161567,\n\ \ \"mc1_stderr\": 0.01715160555574914,\n \"mc2\": 0.5630669446354012,\n\ \ \"mc2_stderr\": 0.014865953800030475\n }\n}\n```" repo_url: https://huggingface.co/lloorree/kssht-castor-70b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|arc:challenge|25_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hellaswag|10_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-18T23-54-47.734205.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-management|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-virology|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-18T23-54-47.734205.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_18T23_54_47.734205 path: - '**/details_harness|truthfulqa:mc|0_2023-09-18T23-54-47.734205.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-09-18T23-54-47.734205.parquet' - config_name: results data_files: - split: 2023_09_18T23_54_47.734205 path: - results_2023-09-18T23-54-47.734205.parquet - split: latest path: - results_2023-09-18T23-54-47.734205.parquet --- # Dataset Card for Evaluation run of lloorree/kssht-castor-70b ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/lloorree/kssht-castor-70b - **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 [lloorree/kssht-castor-70b](https://huggingface.co/lloorree/kssht-castor-70b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_lloorree__kssht-castor-70b", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-09-18T23:54:47.734205](https://huggingface.co/datasets/open-llm-leaderboard/details_lloorree__kssht-castor-70b/blob/main/results_2023-09-18T23-54-47.734205.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": 0.7025630433354887, "acc_stderr": 0.03070323641112233, "acc_norm": 0.7065431366848456, "acc_norm_stderr": 0.03067233267965294, "mc1": 0.40024479804161567, "mc1_stderr": 0.01715160555574914, "mc2": 0.5630669446354012, "mc2_stderr": 0.014865953800030475 }, "harness|arc:challenge|25": { "acc": 0.6501706484641638, "acc_stderr": 0.01393680921215829, "acc_norm": 0.6953924914675768, "acc_norm_stderr": 0.01344952210993249 }, "harness|hellaswag|10": { "acc": 0.6857199761003784, "acc_stderr": 0.004632797375289762, "acc_norm": 0.8753236407090221, "acc_norm_stderr": 0.003296764320821918 }, "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": 0.6518518518518519, "acc_stderr": 0.041153246103369526, "acc_norm": 0.6518518518518519, "acc_norm_stderr": 0.041153246103369526 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8486842105263158, "acc_stderr": 0.02916263159684399, "acc_norm": 0.8486842105263158, "acc_norm_stderr": 0.02916263159684399 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.720754716981132, "acc_stderr": 0.027611163402399715, "acc_norm": 0.720754716981132, "acc_norm_stderr": 0.027611163402399715 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8472222222222222, "acc_stderr": 0.030085743248565666, "acc_norm": 0.8472222222222222, "acc_norm_stderr": 0.030085743248565666 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "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": 0.6473988439306358, "acc_stderr": 0.036430371689585475, "acc_norm": 0.6473988439306358, "acc_norm_stderr": 0.036430371689585475 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.35294117647058826, "acc_stderr": 0.047551296160629475, "acc_norm": 0.35294117647058826, "acc_norm_stderr": 0.047551296160629475 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.78, "acc_stderr": 0.04163331998932262, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932262 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6978723404255319, "acc_stderr": 0.030017554471880557, "acc_norm": 0.6978723404255319, "acc_norm_stderr": 0.030017554471880557 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4649122807017544, "acc_stderr": 0.04692008381368909, "acc_norm": 0.4649122807017544, "acc_norm_stderr": 0.04692008381368909 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6551724137931034, "acc_stderr": 0.03960933549451207, "acc_norm": 0.6551724137931034, "acc_norm_stderr": 0.03960933549451207 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4365079365079365, "acc_stderr": 0.0255428468174005, "acc_norm": 0.4365079365079365, "acc_norm_stderr": 0.0255428468174005 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.48412698412698413, "acc_stderr": 0.04469881854072606, "acc_norm": 0.48412698412698413, "acc_norm_stderr": 0.04469881854072606 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8193548387096774, "acc_stderr": 0.021886178567172523, "acc_norm": 0.8193548387096774, "acc_norm_stderr": 0.021886178567172523 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5566502463054187, "acc_stderr": 0.03495334582162933, "acc_norm": 0.5566502463054187, "acc_norm_stderr": 0.03495334582162933 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.77, "acc_stderr": 0.04229525846816506, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816506 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8303030303030303, "acc_stderr": 0.029311188674983134, "acc_norm": 0.8303030303030303, "acc_norm_stderr": 0.029311188674983134 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8737373737373737, "acc_stderr": 0.023664359402880236, "acc_norm": 0.8737373737373737, "acc_norm_stderr": 0.023664359402880236 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9430051813471503, "acc_stderr": 0.016731085293607555, "acc_norm": 0.9430051813471503, "acc_norm_stderr": 0.016731085293607555 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7128205128205128, "acc_stderr": 0.022939925418530616, "acc_norm": 0.7128205128205128, "acc_norm_stderr": 0.022939925418530616 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.34074074074074073, "acc_stderr": 0.028897748741131143, "acc_norm": 0.34074074074074073, "acc_norm_stderr": 0.028897748741131143 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.7647058823529411, "acc_stderr": 0.027553614467863804, "acc_norm": 0.7647058823529411, "acc_norm_stderr": 0.027553614467863804 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.47019867549668876, "acc_stderr": 0.040752249922169775, "acc_norm": 0.47019867549668876, "acc_norm_stderr": 0.040752249922169775 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.9027522935779817, "acc_stderr": 0.012703533408540366, "acc_norm": 0.9027522935779817, "acc_norm_stderr": 0.012703533408540366 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.6064814814814815, "acc_stderr": 0.03331747876370312, "acc_norm": 0.6064814814814815, "acc_norm_stderr": 0.03331747876370312 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.9264705882352942, "acc_stderr": 0.01831885585008968, "acc_norm": 0.9264705882352942, "acc_norm_stderr": 0.01831885585008968 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8860759493670886, "acc_stderr": 0.020681745135884565, "acc_norm": 0.8860759493670886, "acc_norm_stderr": 0.020681745135884565 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.7937219730941704, "acc_stderr": 0.02715715047956382, "acc_norm": 0.7937219730941704, "acc_norm_stderr": 0.02715715047956382 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8778625954198473, "acc_stderr": 0.028718776889342337, "acc_norm": 0.8778625954198473, "acc_norm_stderr": 0.028718776889342337 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8760330578512396, "acc_stderr": 0.030083098716035202, "acc_norm": 0.8760330578512396, "acc_norm_stderr": 0.030083098716035202 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8425925925925926, "acc_stderr": 0.035207039905179635, "acc_norm": 0.8425925925925926, "acc_norm_stderr": 0.035207039905179635 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.8159509202453987, "acc_stderr": 0.03044677768797173, "acc_norm": 0.8159509202453987, "acc_norm_stderr": 0.03044677768797173 }, "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": 0.8155339805825242, "acc_stderr": 0.03840423627288276, "acc_norm": 0.8155339805825242, "acc_norm_stderr": 0.03840423627288276 }, "harness|hendrycksTest-marketing|5": { "acc": 0.905982905982906, "acc_stderr": 0.01911989279892498, "acc_norm": 0.905982905982906, "acc_norm_stderr": 0.01911989279892498 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.72, "acc_stderr": 0.04512608598542126, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542126 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8684546615581098, "acc_stderr": 0.01208670521425043, "acc_norm": 0.8684546615581098, "acc_norm_stderr": 0.01208670521425043 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.791907514450867, "acc_stderr": 0.021855255263421795, "acc_norm": 0.791907514450867, "acc_norm_stderr": 0.021855255263421795 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.5463687150837989, "acc_stderr": 0.016650437588269076, "acc_norm": 0.5463687150837989, "acc_norm_stderr": 0.016650437588269076 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7777777777777778, "acc_stderr": 0.023805186524888156, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.023805186524888156 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7717041800643086, "acc_stderr": 0.0238393033113982, "acc_norm": 0.7717041800643086, "acc_norm_stderr": 0.0238393033113982 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.8425925925925926, "acc_stderr": 0.020263764996385717, "acc_norm": 0.8425925925925926, "acc_norm_stderr": 0.020263764996385717 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.5638297872340425, "acc_stderr": 0.029583452036284076, "acc_norm": 0.5638297872340425, "acc_norm_stderr": 0.029583452036284076 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.5541069100391134, "acc_stderr": 0.012695244711379783, "acc_norm": 0.5541069100391134, "acc_norm_stderr": 0.012695244711379783 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.7426470588235294, "acc_stderr": 0.0265565194700415, "acc_norm": 0.7426470588235294, "acc_norm_stderr": 0.0265565194700415 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.7679738562091504, "acc_stderr": 0.01707737337785693, "acc_norm": 0.7679738562091504, "acc_norm_stderr": 0.01707737337785693 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7181818181818181, "acc_stderr": 0.04309118709946458, "acc_norm": 0.7181818181818181, "acc_norm_stderr": 0.04309118709946458 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.8163265306122449, "acc_stderr": 0.024789071332007636, "acc_norm": 0.8163265306122449, "acc_norm_stderr": 0.024789071332007636 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8905472636815921, "acc_stderr": 0.022076326101824664, "acc_norm": 0.8905472636815921, "acc_norm_stderr": 0.022076326101824664 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.91, "acc_stderr": 0.028762349126466125, "acc_norm": 0.91, "acc_norm_stderr": 0.028762349126466125 }, "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": 0.8713450292397661, "acc_stderr": 0.02567934272327692, "acc_norm": 0.8713450292397661, "acc_norm_stderr": 0.02567934272327692 }, "harness|truthfulqa:mc|0": { "mc1": 0.40024479804161567, "mc1_stderr": 0.01715160555574914, "mc2": 0.5630669446354012, "mc2_stderr": 0.014865953800030475 } } ``` ### 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]

untilthend/kye

2023-09-19T00:08:03.000Z

[ "license:openrail", "region:us" ]

untilthend

null

0

--- license: openrail ---

Kinuko4/Kinuko4

2023-09-19T00:10:56.000Z

[ "region:us" ]

Kinuko4

null

0

Entry not found

open-llm-leaderboard/details_lloorree__kssht-euripedes-70b

2023-09-19T00:14:01.000Z

[ "region:us" ]

open-llm-leaderboard

null

0

--- pretty_name: Evaluation run of lloorree/kssht-euripedes-70b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [lloorree/kssht-euripedes-70b](https://huggingface.co/lloorree/kssht-euripedes-70b)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_lloorree__kssht-euripedes-70b\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-09-19T00:12:39.048571](https://huggingface.co/datasets/open-llm-leaderboard/details_lloorree__kssht-euripedes-70b/blob/main/results_2023-09-19T00-12-39.048571.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\": 0.7032771782081723,\n\ \ \"acc_stderr\": 0.030834102504125972,\n \"acc_norm\": 0.70714084898032,\n\ \ \"acc_norm_stderr\": 0.030804015376568177,\n \"mc1\": 0.3953488372093023,\n\ \ \"mc1_stderr\": 0.017115815632418197,\n \"mc2\": 0.5551008582453495,\n\ \ \"mc2_stderr\": 0.014893190834168417\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.658703071672355,\n \"acc_stderr\": 0.013855831287497723,\n\ \ \"acc_norm\": 0.6979522184300341,\n \"acc_norm_stderr\": 0.013417519144716413\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6872137024497113,\n\ \ \"acc_stderr\": 0.004626805906522211,\n \"acc_norm\": 0.8759211312487553,\n\ \ \"acc_norm_stderr\": 0.0032899775233939097\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6592592592592592,\n\ \ \"acc_stderr\": 0.04094376269996794,\n \"acc_norm\": 0.6592592592592592,\n\ \ \"acc_norm_stderr\": 0.04094376269996794\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.8092105263157895,\n \"acc_stderr\": 0.031975658210325,\n\ \ \"acc_norm\": 0.8092105263157895,\n \"acc_norm_stderr\": 0.031975658210325\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.77,\n\ \ \"acc_stderr\": 0.04229525846816505,\n \"acc_norm\": 0.77,\n \ \ \"acc_norm_stderr\": 0.04229525846816505\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.720754716981132,\n \"acc_stderr\": 0.027611163402399715,\n\ \ \"acc_norm\": 0.720754716981132,\n \"acc_norm_stderr\": 0.027611163402399715\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8333333333333334,\n\ \ \"acc_stderr\": 0.031164899666948617,\n \"acc_norm\": 0.8333333333333334,\n\ \ \"acc_norm_stderr\": 0.031164899666948617\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\": 0.57,\n \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\"\ : 0.57,\n \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\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\": 0.39215686274509803,\n \"acc_stderr\": 0.04858083574266345,\n\ \ \"acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.04858083574266345\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\": 0.6723404255319149,\n \"acc_stderr\": 0.030683020843231004,\n\ \ \"acc_norm\": 0.6723404255319149,\n \"acc_norm_stderr\": 0.030683020843231004\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4649122807017544,\n\ \ \"acc_stderr\": 0.04692008381368909,\n \"acc_norm\": 0.4649122807017544,\n\ \ \"acc_norm_stderr\": 0.04692008381368909\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.6620689655172414,\n \"acc_stderr\": 0.039417076320648906,\n\ \ \"acc_norm\": 0.6620689655172414,\n \"acc_norm_stderr\": 0.039417076320648906\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4444444444444444,\n \"acc_stderr\": 0.02559185776138218,\n \"\ acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.02559185776138218\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.49206349206349204,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.49206349206349204,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \ \ \"acc_norm\": 0.53,\n \"acc_norm_stderr\": 0.050161355804659205\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.8129032258064516,\n \"acc_stderr\": 0.02218571009225225,\n \"\ acc_norm\": 0.8129032258064516,\n \"acc_norm_stderr\": 0.02218571009225225\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.5566502463054187,\n \"acc_stderr\": 0.03495334582162933,\n \"\ acc_norm\": 0.5566502463054187,\n \"acc_norm_stderr\": 0.03495334582162933\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.76,\n \"acc_stderr\": 0.04292346959909281,\n \"acc_norm\"\ : 0.76,\n \"acc_norm_stderr\": 0.04292346959909281\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.8363636363636363,\n \"acc_stderr\": 0.02888787239548795,\n\ \ \"acc_norm\": 0.8363636363636363,\n \"acc_norm_stderr\": 0.02888787239548795\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8686868686868687,\n \"acc_stderr\": 0.02406315641682252,\n \"\ acc_norm\": 0.8686868686868687,\n \"acc_norm_stderr\": 0.02406315641682252\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9222797927461139,\n \"acc_stderr\": 0.019321805557223157,\n\ \ \"acc_norm\": 0.9222797927461139,\n \"acc_norm_stderr\": 0.019321805557223157\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.7230769230769231,\n \"acc_stderr\": 0.022688042352424994,\n\ \ \"acc_norm\": 0.7230769230769231,\n \"acc_norm_stderr\": 0.022688042352424994\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253255,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253255\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.7605042016806722,\n \"acc_stderr\": 0.027722065493361276,\n\ \ \"acc_norm\": 0.7605042016806722,\n \"acc_norm_stderr\": 0.027722065493361276\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.47019867549668876,\n \"acc_stderr\": 0.040752249922169775,\n \"\ acc_norm\": 0.47019867549668876,\n \"acc_norm_stderr\": 0.040752249922169775\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8972477064220183,\n \"acc_stderr\": 0.013018246509173768,\n \"\ acc_norm\": 0.8972477064220183,\n \"acc_norm_stderr\": 0.013018246509173768\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5972222222222222,\n \"acc_stderr\": 0.03344887382997866,\n \"\ acc_norm\": 0.5972222222222222,\n \"acc_norm_stderr\": 0.03344887382997866\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.9264705882352942,\n \"acc_stderr\": 0.018318855850089678,\n \"\ acc_norm\": 0.9264705882352942,\n \"acc_norm_stderr\": 0.018318855850089678\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.890295358649789,\n \"acc_stderr\": 0.020343400734868834,\n \ \ \"acc_norm\": 0.890295358649789,\n \"acc_norm_stderr\": 0.020343400734868834\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7937219730941704,\n\ \ \"acc_stderr\": 0.02715715047956382,\n \"acc_norm\": 0.7937219730941704,\n\ \ \"acc_norm_stderr\": 0.02715715047956382\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8778625954198473,\n \"acc_stderr\": 0.028718776889342337,\n\ \ \"acc_norm\": 0.8778625954198473,\n \"acc_norm_stderr\": 0.028718776889342337\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8677685950413223,\n \"acc_stderr\": 0.03092278832044579,\n \"\ acc_norm\": 0.8677685950413223,\n \"acc_norm_stderr\": 0.03092278832044579\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8518518518518519,\n\ \ \"acc_stderr\": 0.03434300243631001,\n \"acc_norm\": 0.8518518518518519,\n\ \ \"acc_norm_stderr\": 0.03434300243631001\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.803680981595092,\n \"acc_stderr\": 0.031207970394709218,\n\ \ \"acc_norm\": 0.803680981595092,\n \"acc_norm_stderr\": 0.031207970394709218\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5446428571428571,\n\ \ \"acc_stderr\": 0.04726835553719098,\n \"acc_norm\": 0.5446428571428571,\n\ \ \"acc_norm_stderr\": 0.04726835553719098\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\": 0.9017094017094017,\n\ \ \"acc_stderr\": 0.019503444900757567,\n \"acc_norm\": 0.9017094017094017,\n\ \ \"acc_norm_stderr\": 0.019503444900757567\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\": 0.8620689655172413,\n\ \ \"acc_stderr\": 0.012331009307795656,\n \"acc_norm\": 0.8620689655172413,\n\ \ \"acc_norm_stderr\": 0.012331009307795656\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7947976878612717,\n \"acc_stderr\": 0.021742519835276274,\n\ \ \"acc_norm\": 0.7947976878612717,\n \"acc_norm_stderr\": 0.021742519835276274\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.5575418994413408,\n\ \ \"acc_stderr\": 0.016611393687268574,\n \"acc_norm\": 0.5575418994413408,\n\ \ \"acc_norm_stderr\": 0.016611393687268574\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7679738562091504,\n \"acc_stderr\": 0.024170840879340873,\n\ \ \"acc_norm\": 0.7679738562091504,\n \"acc_norm_stderr\": 0.024170840879340873\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7717041800643086,\n\ \ \"acc_stderr\": 0.0238393033113982,\n \"acc_norm\": 0.7717041800643086,\n\ \ \"acc_norm_stderr\": 0.0238393033113982\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.8395061728395061,\n \"acc_stderr\": 0.02042395535477803,\n\ \ \"acc_norm\": 0.8395061728395061,\n \"acc_norm_stderr\": 0.02042395535477803\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.5531914893617021,\n \"acc_stderr\": 0.02965823509766691,\n \ \ \"acc_norm\": 0.5531914893617021,\n \"acc_norm_stderr\": 0.02965823509766691\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5580182529335072,\n\ \ \"acc_stderr\": 0.012683972513598827,\n \"acc_norm\": 0.5580182529335072,\n\ \ \"acc_norm_stderr\": 0.012683972513598827\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.7352941176470589,\n \"acc_stderr\": 0.026799562024887657,\n\ \ \"acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.026799562024887657\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.761437908496732,\n \"acc_stderr\": 0.01724238582877962,\n \ \ \"acc_norm\": 0.761437908496732,\n \"acc_norm_stderr\": 0.01724238582877962\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7545454545454545,\n\ \ \"acc_stderr\": 0.041220665028782855,\n \"acc_norm\": 0.7545454545454545,\n\ \ \"acc_norm_stderr\": 0.041220665028782855\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.8122448979591836,\n \"acc_stderr\": 0.025000256039546188,\n\ \ \"acc_norm\": 0.8122448979591836,\n \"acc_norm_stderr\": 0.025000256039546188\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8955223880597015,\n\ \ \"acc_stderr\": 0.021628920516700643,\n \"acc_norm\": 0.8955223880597015,\n\ \ \"acc_norm_stderr\": 0.021628920516700643\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.91,\n \"acc_stderr\": 0.028762349126466125,\n \ \ \"acc_norm\": 0.91,\n \"acc_norm_stderr\": 0.028762349126466125\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\": 0.8596491228070176,\n \"acc_stderr\": 0.0266405825391332,\n\ \ \"acc_norm\": 0.8596491228070176,\n \"acc_norm_stderr\": 0.0266405825391332\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3953488372093023,\n\ \ \"mc1_stderr\": 0.017115815632418197,\n \"mc2\": 0.5551008582453495,\n\ \ \"mc2_stderr\": 0.014893190834168417\n }\n}\n```" repo_url: https://huggingface.co/lloorree/kssht-euripedes-70b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|arc:challenge|25_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hellaswag|10_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-19T00-12-39.048571.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-management|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-virology|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-19T00-12-39.048571.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_19T00_12_39.048571 path: - '**/details_harness|truthfulqa:mc|0_2023-09-19T00-12-39.048571.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-09-19T00-12-39.048571.parquet' - config_name: results data_files: - split: 2023_09_19T00_12_39.048571 path: - results_2023-09-19T00-12-39.048571.parquet - split: latest path: - results_2023-09-19T00-12-39.048571.parquet --- # Dataset Card for Evaluation run of lloorree/kssht-euripedes-70b ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/lloorree/kssht-euripedes-70b - **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 [lloorree/kssht-euripedes-70b](https://huggingface.co/lloorree/kssht-euripedes-70b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_lloorree__kssht-euripedes-70b", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-09-19T00:12:39.048571](https://huggingface.co/datasets/open-llm-leaderboard/details_lloorree__kssht-euripedes-70b/blob/main/results_2023-09-19T00-12-39.048571.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": 0.7032771782081723, "acc_stderr": 0.030834102504125972, "acc_norm": 0.70714084898032, "acc_norm_stderr": 0.030804015376568177, "mc1": 0.3953488372093023, "mc1_stderr": 0.017115815632418197, "mc2": 0.5551008582453495, "mc2_stderr": 0.014893190834168417 }, "harness|arc:challenge|25": { "acc": 0.658703071672355, "acc_stderr": 0.013855831287497723, "acc_norm": 0.6979522184300341, "acc_norm_stderr": 0.013417519144716413 }, "harness|hellaswag|10": { "acc": 0.6872137024497113, "acc_stderr": 0.004626805906522211, "acc_norm": 0.8759211312487553, "acc_norm_stderr": 0.0032899775233939097 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6592592592592592, "acc_stderr": 0.04094376269996794, "acc_norm": 0.6592592592592592, "acc_norm_stderr": 0.04094376269996794 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8092105263157895, "acc_stderr": 0.031975658210325, "acc_norm": 0.8092105263157895, "acc_norm_stderr": 0.031975658210325 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.77, "acc_stderr": 0.04229525846816505, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.720754716981132, "acc_stderr": 0.027611163402399715, "acc_norm": 0.720754716981132, "acc_norm_stderr": 0.027611163402399715 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8333333333333334, "acc_stderr": 0.031164899666948617, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.031164899666948617 }, "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": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "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": 0.39215686274509803, "acc_stderr": 0.04858083574266345, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.04858083574266345 }, "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": 0.6723404255319149, "acc_stderr": 0.030683020843231004, "acc_norm": 0.6723404255319149, "acc_norm_stderr": 0.030683020843231004 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4649122807017544, "acc_stderr": 0.04692008381368909, "acc_norm": 0.4649122807017544, "acc_norm_stderr": 0.04692008381368909 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6620689655172414, "acc_stderr": 0.039417076320648906, "acc_norm": 0.6620689655172414, "acc_norm_stderr": 0.039417076320648906 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4444444444444444, "acc_stderr": 0.02559185776138218, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.02559185776138218 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.49206349206349204, "acc_stderr": 0.044715725362943486, "acc_norm": 0.49206349206349204, "acc_norm_stderr": 0.044715725362943486 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.53, "acc_stderr": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8129032258064516, "acc_stderr": 0.02218571009225225, "acc_norm": 0.8129032258064516, "acc_norm_stderr": 0.02218571009225225 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5566502463054187, "acc_stderr": 0.03495334582162933, "acc_norm": 0.5566502463054187, "acc_norm_stderr": 0.03495334582162933 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.76, "acc_stderr": 0.04292346959909281, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909281 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8363636363636363, "acc_stderr": 0.02888787239548795, "acc_norm": 0.8363636363636363, "acc_norm_stderr": 0.02888787239548795 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8686868686868687, "acc_stderr": 0.02406315641682252, "acc_norm": 0.8686868686868687, "acc_norm_stderr": 0.02406315641682252 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9222797927461139, "acc_stderr": 0.019321805557223157, "acc_norm": 0.9222797927461139, "acc_norm_stderr": 0.019321805557223157 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7230769230769231, "acc_stderr": 0.022688042352424994, "acc_norm": 0.7230769230769231, "acc_norm_stderr": 0.022688042352424994 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.337037037037037, "acc_stderr": 0.028820884666253255, "acc_norm": 0.337037037037037, "acc_norm_stderr": 0.028820884666253255 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.7605042016806722, "acc_stderr": 0.027722065493361276, "acc_norm": 0.7605042016806722, "acc_norm_stderr": 0.027722065493361276 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.47019867549668876, "acc_stderr": 0.040752249922169775, "acc_norm": 0.47019867549668876, "acc_norm_stderr": 0.040752249922169775 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8972477064220183, "acc_stderr": 0.013018246509173768, "acc_norm": 0.8972477064220183, "acc_norm_stderr": 0.013018246509173768 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5972222222222222, "acc_stderr": 0.03344887382997866, "acc_norm": 0.5972222222222222, "acc_norm_stderr": 0.03344887382997866 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.9264705882352942, "acc_stderr": 0.018318855850089678, "acc_norm": 0.9264705882352942, "acc_norm_stderr": 0.018318855850089678 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.890295358649789, "acc_stderr": 0.020343400734868834, "acc_norm": 0.890295358649789, "acc_norm_stderr": 0.020343400734868834 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.7937219730941704, "acc_stderr": 0.02715715047956382, "acc_norm": 0.7937219730941704, "acc_norm_stderr": 0.02715715047956382 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8778625954198473, "acc_stderr": 0.028718776889342337, "acc_norm": 0.8778625954198473, "acc_norm_stderr": 0.028718776889342337 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8677685950413223, "acc_stderr": 0.03092278832044579, "acc_norm": 0.8677685950413223, "acc_norm_stderr": 0.03092278832044579 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8518518518518519, "acc_stderr": 0.03434300243631001, "acc_norm": 0.8518518518518519, "acc_norm_stderr": 0.03434300243631001 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.803680981595092, "acc_stderr": 0.031207970394709218, "acc_norm": 0.803680981595092, "acc_norm_stderr": 0.031207970394709218 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.5446428571428571, "acc_stderr": 0.04726835553719098, "acc_norm": 0.5446428571428571, "acc_norm_stderr": 0.04726835553719098 }, "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": 0.9017094017094017, "acc_stderr": 0.019503444900757567, "acc_norm": 0.9017094017094017, "acc_norm_stderr": 0.019503444900757567 }, "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": 0.8620689655172413, "acc_stderr": 0.012331009307795656, "acc_norm": 0.8620689655172413, "acc_norm_stderr": 0.012331009307795656 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7947976878612717, "acc_stderr": 0.021742519835276274, "acc_norm": 0.7947976878612717, "acc_norm_stderr": 0.021742519835276274 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.5575418994413408, "acc_stderr": 0.016611393687268574, "acc_norm": 0.5575418994413408, "acc_norm_stderr": 0.016611393687268574 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7679738562091504, "acc_stderr": 0.024170840879340873, "acc_norm": 0.7679738562091504, "acc_norm_stderr": 0.024170840879340873 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7717041800643086, "acc_stderr": 0.0238393033113982, "acc_norm": 0.7717041800643086, "acc_norm_stderr": 0.0238393033113982 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.8395061728395061, "acc_stderr": 0.02042395535477803, "acc_norm": 0.8395061728395061, "acc_norm_stderr": 0.02042395535477803 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.5531914893617021, "acc_stderr": 0.02965823509766691, "acc_norm": 0.5531914893617021, "acc_norm_stderr": 0.02965823509766691 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.5580182529335072, "acc_stderr": 0.012683972513598827, "acc_norm": 0.5580182529335072, "acc_norm_stderr": 0.012683972513598827 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.7352941176470589, "acc_stderr": 0.026799562024887657, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.026799562024887657 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.761437908496732, "acc_stderr": 0.01724238582877962, "acc_norm": 0.761437908496732, "acc_norm_stderr": 0.01724238582877962 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7545454545454545, "acc_stderr": 0.041220665028782855, "acc_norm": 0.7545454545454545, "acc_norm_stderr": 0.041220665028782855 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.8122448979591836, "acc_stderr": 0.025000256039546188, "acc_norm": 0.8122448979591836, "acc_norm_stderr": 0.025000256039546188 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8955223880597015, "acc_stderr": 0.021628920516700643, "acc_norm": 0.8955223880597015, "acc_norm_stderr": 0.021628920516700643 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.91, "acc_stderr": 0.028762349126466125, "acc_norm": 0.91, "acc_norm_stderr": 0.028762349126466125 }, "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": 0.8596491228070176, "acc_stderr": 0.0266405825391332, "acc_norm": 0.8596491228070176, "acc_norm_stderr": 0.0266405825391332 }, "harness|truthfulqa:mc|0": { "mc1": 0.3953488372093023, "mc1_stderr": 0.017115815632418197, "mc2": 0.5551008582453495, "mc2_stderr": 0.014893190834168417 } } ``` ### 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_Sao10K__Euryale-L2-70B

2023-09-19T00:31:47.000Z

[ "region:us" ]

open-llm-leaderboard

null

0

--- pretty_name: Evaluation run of Sao10K/Euryale-L2-70B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Sao10K/Euryale-L2-70B](https://huggingface.co/Sao10K/Euryale-L2-70B) on the [Open\ \ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Sao10K__Euryale-L2-70B\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-09-19T00:30:23.278534](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Euryale-L2-70B/blob/main/results_2023-09-19T00-30-23.278534.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\": 0.6876811863365377,\n\ \ \"acc_stderr\": 0.031295794134185935,\n \"acc_norm\": 0.6915491918846361,\n\ \ \"acc_norm_stderr\": 0.03126665242528465,\n \"mc1\": 0.3953488372093023,\n\ \ \"mc1_stderr\": 0.017115815632418197,\n \"mc2\": 0.5449359501718896,\n\ \ \"mc2_stderr\": 0.0149529759469292\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6493174061433447,\n \"acc_stderr\": 0.013944635930726092,\n\ \ \"acc_norm\": 0.689419795221843,\n \"acc_norm_stderr\": 0.013522292098053054\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6826329416450906,\n\ \ \"acc_stderr\": 0.004645003662067883,\n \"acc_norm\": 0.8707428799044015,\n\ \ \"acc_norm_stderr\": 0.003347986669565319\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.042039210401562783,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.042039210401562783\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.03523807393012047,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.03523807393012047\n \ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.73,\n\ \ \"acc_stderr\": 0.04461960433384741,\n \"acc_norm\": 0.73,\n \ \ \"acc_norm_stderr\": 0.04461960433384741\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7094339622641509,\n \"acc_stderr\": 0.027943219989337145,\n\ \ \"acc_norm\": 0.7094339622641509,\n \"acc_norm_stderr\": 0.027943219989337145\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8472222222222222,\n\ \ \"acc_stderr\": 0.030085743248565666,\n \"acc_norm\": 0.8472222222222222,\n\ \ \"acc_norm_stderr\": 0.030085743248565666\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\": 0.58,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\"\ : 0.58,\n \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.630057803468208,\n\ \ \"acc_stderr\": 0.0368122963339432,\n \"acc_norm\": 0.630057803468208,\n\ \ \"acc_norm_stderr\": 0.0368122963339432\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\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932262,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932262\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.6382978723404256,\n \"acc_stderr\": 0.03141082197596239,\n\ \ \"acc_norm\": 0.6382978723404256,\n \"acc_norm_stderr\": 0.03141082197596239\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.45614035087719296,\n\ \ \"acc_stderr\": 0.04685473041907789,\n \"acc_norm\": 0.45614035087719296,\n\ \ \"acc_norm_stderr\": 0.04685473041907789\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.6137931034482759,\n \"acc_stderr\": 0.04057324734419036,\n\ \ \"acc_norm\": 0.6137931034482759,\n \"acc_norm_stderr\": 0.04057324734419036\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4417989417989418,\n \"acc_stderr\": 0.02557625706125384,\n \"\ acc_norm\": 0.4417989417989418,\n \"acc_norm_stderr\": 0.02557625706125384\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.48412698412698413,\n\ \ \"acc_stderr\": 0.04469881854072606,\n \"acc_norm\": 0.48412698412698413,\n\ \ \"acc_norm_stderr\": 0.04469881854072606\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.8225806451612904,\n\ \ \"acc_stderr\": 0.021732540689329286,\n \"acc_norm\": 0.8225806451612904,\n\ \ \"acc_norm_stderr\": 0.021732540689329286\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\": 0.74,\n \"acc_stderr\": 0.044084400227680794,\n \"acc_norm\"\ : 0.74,\n \"acc_norm_stderr\": 0.044084400227680794\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.8121212121212121,\n \"acc_stderr\": 0.03050193405942914,\n\ \ \"acc_norm\": 0.8121212121212121,\n \"acc_norm_stderr\": 0.03050193405942914\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8838383838383839,\n \"acc_stderr\": 0.022828881775249377,\n \"\ acc_norm\": 0.8838383838383839,\n \"acc_norm_stderr\": 0.022828881775249377\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9326424870466321,\n \"acc_stderr\": 0.018088393839078874,\n\ \ \"acc_norm\": 0.9326424870466321,\n \"acc_norm_stderr\": 0.018088393839078874\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.7102564102564103,\n \"acc_stderr\": 0.023000628243687964,\n\ \ \"acc_norm\": 0.7102564102564103,\n \"acc_norm_stderr\": 0.023000628243687964\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.34814814814814815,\n \"acc_stderr\": 0.029045600290616255,\n \ \ \"acc_norm\": 0.34814814814814815,\n \"acc_norm_stderr\": 0.029045600290616255\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.7478991596638656,\n \"acc_stderr\": 0.028205545033277723,\n\ \ \"acc_norm\": 0.7478991596638656,\n \"acc_norm_stderr\": 0.028205545033277723\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.46357615894039733,\n \"acc_stderr\": 0.04071636065944215,\n \"\ acc_norm\": 0.46357615894039733,\n \"acc_norm_stderr\": 0.04071636065944215\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8733944954128441,\n \"acc_stderr\": 0.014257128686165167,\n \"\ acc_norm\": 0.8733944954128441,\n \"acc_norm_stderr\": 0.014257128686165167\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5601851851851852,\n \"acc_stderr\": 0.033851779760448106,\n \"\ acc_norm\": 0.5601851851851852,\n \"acc_norm_stderr\": 0.033851779760448106\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.9215686274509803,\n \"acc_stderr\": 0.018869514646658928,\n \"\ acc_norm\": 0.9215686274509803,\n \"acc_norm_stderr\": 0.018869514646658928\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8607594936708861,\n \"acc_stderr\": 0.022535526352692705,\n \ \ \"acc_norm\": 0.8607594936708861,\n \"acc_norm_stderr\": 0.022535526352692705\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7668161434977578,\n\ \ \"acc_stderr\": 0.02838039114709471,\n \"acc_norm\": 0.7668161434977578,\n\ \ \"acc_norm_stderr\": 0.02838039114709471\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.816793893129771,\n \"acc_stderr\": 0.03392770926494732,\n\ \ \"acc_norm\": 0.816793893129771,\n \"acc_norm_stderr\": 0.03392770926494732\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8760330578512396,\n \"acc_stderr\": 0.030083098716035202,\n \"\ acc_norm\": 0.8760330578512396,\n \"acc_norm_stderr\": 0.030083098716035202\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8055555555555556,\n\ \ \"acc_stderr\": 0.03826076324884865,\n \"acc_norm\": 0.8055555555555556,\n\ \ \"acc_norm_stderr\": 0.03826076324884865\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.8159509202453987,\n \"acc_stderr\": 0.030446777687971726,\n\ \ \"acc_norm\": 0.8159509202453987,\n \"acc_norm_stderr\": 0.030446777687971726\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.48214285714285715,\n\ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.48214285714285715,\n\ \ \"acc_norm_stderr\": 0.047427623612430116\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\": 0.8931623931623932,\n\ \ \"acc_stderr\": 0.02023714900899093,\n \"acc_norm\": 0.8931623931623932,\n\ \ \"acc_norm_stderr\": 0.02023714900899093\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.8441890166028098,\n\ \ \"acc_stderr\": 0.012969269247762578,\n \"acc_norm\": 0.8441890166028098,\n\ \ \"acc_norm_stderr\": 0.012969269247762578\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7745664739884393,\n \"acc_stderr\": 0.022497230190967554,\n\ \ \"acc_norm\": 0.7745664739884393,\n \"acc_norm_stderr\": 0.022497230190967554\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.5050279329608939,\n\ \ \"acc_stderr\": 0.016721656037538415,\n \"acc_norm\": 0.5050279329608939,\n\ \ \"acc_norm_stderr\": 0.016721656037538415\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7450980392156863,\n \"acc_stderr\": 0.024954184324879912,\n\ \ \"acc_norm\": 0.7450980392156863,\n \"acc_norm_stderr\": 0.024954184324879912\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7845659163987139,\n\ \ \"acc_stderr\": 0.023350225475471442,\n \"acc_norm\": 0.7845659163987139,\n\ \ \"acc_norm_stderr\": 0.023350225475471442\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7993827160493827,\n \"acc_stderr\": 0.022282313949774882,\n\ \ \"acc_norm\": 0.7993827160493827,\n \"acc_norm_stderr\": 0.022282313949774882\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.5531914893617021,\n \"acc_stderr\": 0.02965823509766691,\n \ \ \"acc_norm\": 0.5531914893617021,\n \"acc_norm_stderr\": 0.02965823509766691\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.530638852672751,\n\ \ \"acc_stderr\": 0.012746237711716634,\n \"acc_norm\": 0.530638852672751,\n\ \ \"acc_norm_stderr\": 0.012746237711716634\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.7169117647058824,\n \"acc_stderr\": 0.02736586113151381,\n\ \ \"acc_norm\": 0.7169117647058824,\n \"acc_norm_stderr\": 0.02736586113151381\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.7205882352941176,\n \"acc_stderr\": 0.01815287105153881,\n \ \ \"acc_norm\": 0.7205882352941176,\n \"acc_norm_stderr\": 0.01815287105153881\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7636363636363637,\n\ \ \"acc_stderr\": 0.04069306319721376,\n \"acc_norm\": 0.7636363636363637,\n\ \ \"acc_norm_stderr\": 0.04069306319721376\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7714285714285715,\n \"acc_stderr\": 0.02688214492230774,\n\ \ \"acc_norm\": 0.7714285714285715,\n \"acc_norm_stderr\": 0.02688214492230774\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8955223880597015,\n\ \ \"acc_stderr\": 0.021628920516700643,\n \"acc_norm\": 0.8955223880597015,\n\ \ \"acc_norm_stderr\": 0.021628920516700643\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.93,\n \"acc_stderr\": 0.0256432399976243,\n \ \ \"acc_norm\": 0.93,\n \"acc_norm_stderr\": 0.0256432399976243\n },\n\ \ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8654970760233918,\n \"acc_stderr\": 0.026168221344662297,\n\ \ \"acc_norm\": 0.8654970760233918,\n \"acc_norm_stderr\": 0.026168221344662297\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3953488372093023,\n\ \ \"mc1_stderr\": 0.017115815632418197,\n \"mc2\": 0.5449359501718896,\n\ \ \"mc2_stderr\": 0.0149529759469292\n }\n}\n```" repo_url: https://huggingface.co/Sao10K/Euryale-L2-70B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|arc:challenge|25_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hellaswag|10_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-19T00-30-23.278534.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-management|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-virology|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-19T00-30-23.278534.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_19T00_30_23.278534 path: - '**/details_harness|truthfulqa:mc|0_2023-09-19T00-30-23.278534.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-09-19T00-30-23.278534.parquet' - config_name: results data_files: - split: 2023_09_19T00_30_23.278534 path: - results_2023-09-19T00-30-23.278534.parquet - split: latest path: - results_2023-09-19T00-30-23.278534.parquet --- # Dataset Card for Evaluation run of Sao10K/Euryale-L2-70B ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/Sao10K/Euryale-L2-70B - **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 [Sao10K/Euryale-L2-70B](https://huggingface.co/Sao10K/Euryale-L2-70B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Sao10K__Euryale-L2-70B", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-09-19T00:30:23.278534](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Euryale-L2-70B/blob/main/results_2023-09-19T00-30-23.278534.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": 0.6876811863365377, "acc_stderr": 0.031295794134185935, "acc_norm": 0.6915491918846361, "acc_norm_stderr": 0.03126665242528465, "mc1": 0.3953488372093023, "mc1_stderr": 0.017115815632418197, "mc2": 0.5449359501718896, "mc2_stderr": 0.0149529759469292 }, "harness|arc:challenge|25": { "acc": 0.6493174061433447, "acc_stderr": 0.013944635930726092, "acc_norm": 0.689419795221843, "acc_norm_stderr": 0.013522292098053054 }, "harness|hellaswag|10": { "acc": 0.6826329416450906, "acc_stderr": 0.004645003662067883, "acc_norm": 0.8707428799044015, "acc_norm_stderr": 0.003347986669565319 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6148148148148148, "acc_stderr": 0.042039210401562783, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.042039210401562783 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.75, "acc_stderr": 0.03523807393012047, "acc_norm": 0.75, "acc_norm_stderr": 0.03523807393012047 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.73, "acc_stderr": 0.04461960433384741, "acc_norm": 0.73, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7094339622641509, "acc_stderr": 0.027943219989337145, "acc_norm": 0.7094339622641509, "acc_norm_stderr": 0.027943219989337145 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8472222222222222, "acc_stderr": 0.030085743248565666, "acc_norm": 0.8472222222222222, "acc_norm_stderr": 0.030085743248565666 }, "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": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.630057803468208, "acc_stderr": 0.0368122963339432, "acc_norm": 0.630057803468208, "acc_norm_stderr": 0.0368122963339432 }, "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": 0.78, "acc_stderr": 0.04163331998932262, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932262 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6382978723404256, "acc_stderr": 0.03141082197596239, "acc_norm": 0.6382978723404256, "acc_norm_stderr": 0.03141082197596239 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.45614035087719296, "acc_stderr": 0.04685473041907789, "acc_norm": 0.45614035087719296, "acc_norm_stderr": 0.04685473041907789 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6137931034482759, "acc_stderr": 0.04057324734419036, "acc_norm": 0.6137931034482759, "acc_norm_stderr": 0.04057324734419036 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4417989417989418, "acc_stderr": 0.02557625706125384, "acc_norm": 0.4417989417989418, "acc_norm_stderr": 0.02557625706125384 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.48412698412698413, "acc_stderr": 0.04469881854072606, "acc_norm": 0.48412698412698413, "acc_norm_stderr": 0.04469881854072606 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8225806451612904, "acc_stderr": 0.021732540689329286, "acc_norm": 0.8225806451612904, "acc_norm_stderr": 0.021732540689329286 }, "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": 0.74, "acc_stderr": 0.044084400227680794, "acc_norm": 0.74, "acc_norm_stderr": 0.044084400227680794 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8121212121212121, "acc_stderr": 0.03050193405942914, "acc_norm": 0.8121212121212121, "acc_norm_stderr": 0.03050193405942914 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8838383838383839, "acc_stderr": 0.022828881775249377, "acc_norm": 0.8838383838383839, "acc_norm_stderr": 0.022828881775249377 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9326424870466321, "acc_stderr": 0.018088393839078874, "acc_norm": 0.9326424870466321, "acc_norm_stderr": 0.018088393839078874 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7102564102564103, "acc_stderr": 0.023000628243687964, "acc_norm": 0.7102564102564103, "acc_norm_stderr": 0.023000628243687964 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.34814814814814815, "acc_stderr": 0.029045600290616255, "acc_norm": 0.34814814814814815, "acc_norm_stderr": 0.029045600290616255 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.7478991596638656, "acc_stderr": 0.028205545033277723, "acc_norm": 0.7478991596638656, "acc_norm_stderr": 0.028205545033277723 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.46357615894039733, "acc_stderr": 0.04071636065944215, "acc_norm": 0.46357615894039733, "acc_norm_stderr": 0.04071636065944215 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8733944954128441, "acc_stderr": 0.014257128686165167, "acc_norm": 0.8733944954128441, "acc_norm_stderr": 0.014257128686165167 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5601851851851852, "acc_stderr": 0.033851779760448106, "acc_norm": 0.5601851851851852, "acc_norm_stderr": 0.033851779760448106 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.9215686274509803, "acc_stderr": 0.018869514646658928, "acc_norm": 0.9215686274509803, "acc_norm_stderr": 0.018869514646658928 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8607594936708861, "acc_stderr": 0.022535526352692705, "acc_norm": 0.8607594936708861, "acc_norm_stderr": 0.022535526352692705 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.7668161434977578, "acc_stderr": 0.02838039114709471, "acc_norm": 0.7668161434977578, "acc_norm_stderr": 0.02838039114709471 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.816793893129771, "acc_stderr": 0.03392770926494732, "acc_norm": 0.816793893129771, "acc_norm_stderr": 0.03392770926494732 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8760330578512396, "acc_stderr": 0.030083098716035202, "acc_norm": 0.8760330578512396, "acc_norm_stderr": 0.030083098716035202 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8055555555555556, "acc_stderr": 0.03826076324884865, "acc_norm": 0.8055555555555556, "acc_norm_stderr": 0.03826076324884865 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.8159509202453987, "acc_stderr": 0.030446777687971726, "acc_norm": 0.8159509202453987, "acc_norm_stderr": 0.030446777687971726 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.48214285714285715, "acc_stderr": 0.047427623612430116, "acc_norm": 0.48214285714285715, "acc_norm_stderr": 0.047427623612430116 }, "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": 0.8931623931623932, "acc_stderr": 0.02023714900899093, "acc_norm": 0.8931623931623932, "acc_norm_stderr": 0.02023714900899093 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8441890166028098, "acc_stderr": 0.012969269247762578, "acc_norm": 0.8441890166028098, "acc_norm_stderr": 0.012969269247762578 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7745664739884393, "acc_stderr": 0.022497230190967554, "acc_norm": 0.7745664739884393, "acc_norm_stderr": 0.022497230190967554 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.5050279329608939, "acc_stderr": 0.016721656037538415, "acc_norm": 0.5050279329608939, "acc_norm_stderr": 0.016721656037538415 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7450980392156863, "acc_stderr": 0.024954184324879912, "acc_norm": 0.7450980392156863, "acc_norm_stderr": 0.024954184324879912 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7845659163987139, "acc_stderr": 0.023350225475471442, "acc_norm": 0.7845659163987139, "acc_norm_stderr": 0.023350225475471442 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7993827160493827, "acc_stderr": 0.022282313949774882, "acc_norm": 0.7993827160493827, "acc_norm_stderr": 0.022282313949774882 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.5531914893617021, "acc_stderr": 0.02965823509766691, "acc_norm": 0.5531914893617021, "acc_norm_stderr": 0.02965823509766691 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.530638852672751, "acc_stderr": 0.012746237711716634, "acc_norm": 0.530638852672751, "acc_norm_stderr": 0.012746237711716634 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.7169117647058824, "acc_stderr": 0.02736586113151381, "acc_norm": 0.7169117647058824, "acc_norm_stderr": 0.02736586113151381 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.7205882352941176, "acc_stderr": 0.01815287105153881, "acc_norm": 0.7205882352941176, "acc_norm_stderr": 0.01815287105153881 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7636363636363637, "acc_stderr": 0.04069306319721376, "acc_norm": 0.7636363636363637, "acc_norm_stderr": 0.04069306319721376 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7714285714285715, "acc_stderr": 0.02688214492230774, "acc_norm": 0.7714285714285715, "acc_norm_stderr": 0.02688214492230774 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8955223880597015, "acc_stderr": 0.021628920516700643, "acc_norm": 0.8955223880597015, "acc_norm_stderr": 0.021628920516700643 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.93, "acc_stderr": 0.0256432399976243, "acc_norm": 0.93, "acc_norm_stderr": 0.0256432399976243 }, "harness|hendrycksTest-virology|5": { "acc": 0.5421686746987951, "acc_stderr": 0.0387862677100236, "acc_norm": 0.5421686746987951, "acc_norm_stderr": 0.0387862677100236 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8654970760233918, "acc_stderr": 0.026168221344662297, "acc_norm": 0.8654970760233918, "acc_norm_stderr": 0.026168221344662297 }, "harness|truthfulqa:mc|0": { "mc1": 0.3953488372093023, "mc1_stderr": 0.017115815632418197, "mc2": 0.5449359501718896, "mc2_stderr": 0.0149529759469292 } } ``` ### 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]

yicozy/dataset_pfs_hr_by_subgroup

2023-09-19T01:04:47.000Z

[ "region:us" ]

yicozy

null

0

--- dataset_info: features: - name: instruction dtype: string - name: response dtype: string - name: text dtype: string splits: - name: train num_bytes: 6991314 num_examples: 8668 download_size: 0 dataset_size: 6991314 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "dataset_pfs_hr_by_subgroup" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

kalebguillot/CropNet

2023-09-19T01:57:37.000Z

[ "region:us" ]

kalebguillot

null

0

Entry not found

open-llm-leaderboard/details_ICBU-NPU__FashionGPT-70B-V1

2023-09-19T01:13:41.000Z

[ "region:us" ]

open-llm-leaderboard

null

0

--- pretty_name: Evaluation run of ICBU-NPU/FashionGPT-70B-V1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ICBU-NPU/FashionGPT-70B-V1](https://huggingface.co/ICBU-NPU/FashionGPT-70B-V1)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_ICBU-NPU__FashionGPT-70B-V1\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-09-19T01:12:17.792946](https://huggingface.co/datasets/open-llm-leaderboard/details_ICBU-NPU__FashionGPT-70B-V1/blob/main/results_2023-09-19T01-12-17.792946.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\": 0.7059262484193939,\n\ \ \"acc_stderr\": 0.030707005871601658,\n \"acc_norm\": 0.7099061113487667,\n\ \ \"acc_norm_stderr\": 0.0306756964963288,\n \"mc1\": 0.4749082007343941,\n\ \ \"mc1_stderr\": 0.017481446804104003,\n \"mc2\": 0.639247711774609,\n\ \ \"mc2_stderr\": 0.014721455246819812\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6672354948805461,\n \"acc_stderr\": 0.013769863046192302,\n\ \ \"acc_norm\": 0.7107508532423208,\n \"acc_norm_stderr\": 0.013250012579393441\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6819358693487353,\n\ \ \"acc_stderr\": 0.004647727222445383,\n \"acc_norm\": 0.8732324238199561,\n\ \ \"acc_norm_stderr\": 0.0033203245481454053\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.6518518518518519,\n\ \ \"acc_stderr\": 0.041153246103369526,\n \"acc_norm\": 0.6518518518518519,\n\ \ \"acc_norm_stderr\": 0.041153246103369526\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.8421052631578947,\n \"acc_stderr\": 0.029674167520101456,\n\ \ \"acc_norm\": 0.8421052631578947,\n \"acc_norm_stderr\": 0.029674167520101456\n\ \ },\n \"harness|hendrycksTest-business_ethics|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-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\": 0.8194444444444444,\n\ \ \"acc_stderr\": 0.032166008088022675,\n \"acc_norm\": 0.8194444444444444,\n\ \ \"acc_norm_stderr\": 0.032166008088022675\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.59,\n \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\": 0.59,\n\ \ \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.035995863012470763,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.035995863012470763\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.39215686274509803,\n \"acc_stderr\": 0.04858083574266345,\n\ \ \"acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.04858083574266345\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.8,\n \"acc_stderr\": 0.04020151261036846,\n \"acc_norm\": 0.8,\n\ \ \"acc_norm_stderr\": 0.04020151261036846\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.6808510638297872,\n \"acc_stderr\": 0.030472973363380045,\n\ \ \"acc_norm\": 0.6808510638297872,\n \"acc_norm_stderr\": 0.030472973363380045\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4298245614035088,\n\ \ \"acc_stderr\": 0.04657047260594963,\n \"acc_norm\": 0.4298245614035088,\n\ \ \"acc_norm_stderr\": 0.04657047260594963\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.6275862068965518,\n \"acc_stderr\": 0.04028731532947558,\n\ \ \"acc_norm\": 0.6275862068965518,\n \"acc_norm_stderr\": 0.04028731532947558\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.43915343915343913,\n \"acc_stderr\": 0.025559920550531003,\n \"\ acc_norm\": 0.43915343915343913,\n \"acc_norm_stderr\": 0.025559920550531003\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.49206349206349204,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.49206349206349204,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.8161290322580645,\n\ \ \"acc_stderr\": 0.022037217340267826,\n \"acc_norm\": 0.8161290322580645,\n\ \ \"acc_norm_stderr\": 0.022037217340267826\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5369458128078818,\n \"acc_stderr\": 0.035083705204426656,\n\ \ \"acc_norm\": 0.5369458128078818,\n \"acc_norm_stderr\": 0.035083705204426656\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.8,\n \"acc_stderr\": 0.04020151261036846,\n \"acc_norm\"\ : 0.8,\n \"acc_norm_stderr\": 0.04020151261036846\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.8424242424242424,\n \"acc_stderr\": 0.028450388805284357,\n\ \ \"acc_norm\": 0.8424242424242424,\n \"acc_norm_stderr\": 0.028450388805284357\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8838383838383839,\n \"acc_stderr\": 0.022828881775249377,\n \"\ acc_norm\": 0.8838383838383839,\n \"acc_norm_stderr\": 0.022828881775249377\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9378238341968912,\n \"acc_stderr\": 0.017426974154240528,\n\ \ \"acc_norm\": 0.9378238341968912,\n \"acc_norm_stderr\": 0.017426974154240528\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.7102564102564103,\n \"acc_stderr\": 0.023000628243687968,\n\ \ \"acc_norm\": 0.7102564102564103,\n \"acc_norm_stderr\": 0.023000628243687968\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253255,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253255\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.7773109243697479,\n \"acc_stderr\": 0.027025433498882385,\n\ \ \"acc_norm\": 0.7773109243697479,\n \"acc_norm_stderr\": 0.027025433498882385\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.45695364238410596,\n \"acc_stderr\": 0.04067325174247444,\n \"\ acc_norm\": 0.45695364238410596,\n \"acc_norm_stderr\": 0.04067325174247444\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.9027522935779817,\n \"acc_stderr\": 0.012703533408540366,\n \"\ acc_norm\": 0.9027522935779817,\n \"acc_norm_stderr\": 0.012703533408540366\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.6203703703703703,\n \"acc_stderr\": 0.03309682581119035,\n \"\ acc_norm\": 0.6203703703703703,\n \"acc_norm_stderr\": 0.03309682581119035\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.9264705882352942,\n \"acc_stderr\": 0.01831885585008968,\n \"\ acc_norm\": 0.9264705882352942,\n \"acc_norm_stderr\": 0.01831885585008968\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8860759493670886,\n \"acc_stderr\": 0.020681745135884565,\n \ \ \"acc_norm\": 0.8860759493670886,\n \"acc_norm_stderr\": 0.020681745135884565\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.8116591928251121,\n\ \ \"acc_stderr\": 0.026241132996407252,\n \"acc_norm\": 0.8116591928251121,\n\ \ \"acc_norm_stderr\": 0.026241132996407252\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8702290076335878,\n \"acc_stderr\": 0.029473649496907065,\n\ \ \"acc_norm\": 0.8702290076335878,\n \"acc_norm_stderr\": 0.029473649496907065\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8842975206611571,\n \"acc_stderr\": 0.02919980245562281,\n \"\ acc_norm\": 0.8842975206611571,\n \"acc_norm_stderr\": 0.02919980245562281\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8425925925925926,\n\ \ \"acc_stderr\": 0.035207039905179635,\n \"acc_norm\": 0.8425925925925926,\n\ \ \"acc_norm_stderr\": 0.035207039905179635\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.8220858895705522,\n \"acc_stderr\": 0.03004735765580663,\n\ \ \"acc_norm\": 0.8220858895705522,\n \"acc_norm_stderr\": 0.03004735765580663\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\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8931623931623932,\n\ \ \"acc_stderr\": 0.020237149008990915,\n \"acc_norm\": 0.8931623931623932,\n\ \ \"acc_norm_stderr\": 0.020237149008990915\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542126,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542126\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8773946360153256,\n\ \ \"acc_stderr\": 0.011728672144131563,\n \"acc_norm\": 0.8773946360153256,\n\ \ \"acc_norm_stderr\": 0.011728672144131563\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7861271676300579,\n \"acc_stderr\": 0.02207570925175718,\n\ \ \"acc_norm\": 0.7861271676300579,\n \"acc_norm_stderr\": 0.02207570925175718\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.6,\n\ \ \"acc_stderr\": 0.01638463841038082,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.01638463841038082\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7647058823529411,\n \"acc_stderr\": 0.024288619466046112,\n\ \ \"acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.024288619466046112\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7813504823151125,\n\ \ \"acc_stderr\": 0.02347558141786111,\n \"acc_norm\": 0.7813504823151125,\n\ \ \"acc_norm_stderr\": 0.02347558141786111\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.8364197530864198,\n \"acc_stderr\": 0.020581466138257124,\n\ \ \"acc_norm\": 0.8364197530864198,\n \"acc_norm_stderr\": 0.020581466138257124\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.5567375886524822,\n \"acc_stderr\": 0.029634838473766006,\n \ \ \"acc_norm\": 0.5567375886524822,\n \"acc_norm_stderr\": 0.029634838473766006\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5495436766623207,\n\ \ \"acc_stderr\": 0.012707390438502348,\n \"acc_norm\": 0.5495436766623207,\n\ \ \"acc_norm_stderr\": 0.012707390438502348\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.026303648393696036,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.026303648393696036\n \ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"acc\"\ : 0.7565359477124183,\n \"acc_stderr\": 0.01736247376214661,\n \"\ acc_norm\": 0.7565359477124183,\n \"acc_norm_stderr\": 0.01736247376214661\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7363636363636363,\n\ \ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.7363636363636363,\n\ \ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.8122448979591836,\n \"acc_stderr\": 0.02500025603954619,\n\ \ \"acc_norm\": 0.8122448979591836,\n \"acc_norm_stderr\": 0.02500025603954619\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8805970149253731,\n\ \ \"acc_stderr\": 0.02292879327721974,\n \"acc_norm\": 0.8805970149253731,\n\ \ \"acc_norm_stderr\": 0.02292879327721974\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.92,\n \"acc_stderr\": 0.0272659924344291,\n \ \ \"acc_norm\": 0.92,\n \"acc_norm_stderr\": 0.0272659924344291\n },\n\ \ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8654970760233918,\n \"acc_stderr\": 0.026168221344662297,\n\ \ \"acc_norm\": 0.8654970760233918,\n \"acc_norm_stderr\": 0.026168221344662297\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4749082007343941,\n\ \ \"mc1_stderr\": 0.017481446804104003,\n \"mc2\": 0.639247711774609,\n\ \ \"mc2_stderr\": 0.014721455246819812\n }\n}\n```" repo_url: https://huggingface.co/ICBU-NPU/FashionGPT-70B-V1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|arc:challenge|25_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hellaswag|10_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-19T01-12-17.792946.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-management|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-virology|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-19T01-12-17.792946.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_19T01_12_17.792946 path: - '**/details_harness|truthfulqa:mc|0_2023-09-19T01-12-17.792946.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-09-19T01-12-17.792946.parquet' - config_name: results data_files: - split: 2023_09_19T01_12_17.792946 path: - results_2023-09-19T01-12-17.792946.parquet - split: latest path: - results_2023-09-19T01-12-17.792946.parquet --- # Dataset Card for Evaluation run of ICBU-NPU/FashionGPT-70B-V1 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/ICBU-NPU/FashionGPT-70B-V1 - **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 [ICBU-NPU/FashionGPT-70B-V1](https://huggingface.co/ICBU-NPU/FashionGPT-70B-V1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_ICBU-NPU__FashionGPT-70B-V1", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-09-19T01:12:17.792946](https://huggingface.co/datasets/open-llm-leaderboard/details_ICBU-NPU__FashionGPT-70B-V1/blob/main/results_2023-09-19T01-12-17.792946.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": 0.7059262484193939, "acc_stderr": 0.030707005871601658, "acc_norm": 0.7099061113487667, "acc_norm_stderr": 0.0306756964963288, "mc1": 0.4749082007343941, "mc1_stderr": 0.017481446804104003, "mc2": 0.639247711774609, "mc2_stderr": 0.014721455246819812 }, "harness|arc:challenge|25": { "acc": 0.6672354948805461, "acc_stderr": 0.013769863046192302, "acc_norm": 0.7107508532423208, "acc_norm_stderr": 0.013250012579393441 }, "harness|hellaswag|10": { "acc": 0.6819358693487353, "acc_stderr": 0.004647727222445383, "acc_norm": 0.8732324238199561, "acc_norm_stderr": 0.0033203245481454053 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6518518518518519, "acc_stderr": 0.041153246103369526, "acc_norm": 0.6518518518518519, "acc_norm_stderr": 0.041153246103369526 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8421052631578947, "acc_stderr": 0.029674167520101456, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.029674167520101456 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "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": 0.8194444444444444, "acc_stderr": 0.032166008088022675, "acc_norm": 0.8194444444444444, "acc_norm_stderr": 0.032166008088022675 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6647398843930635, "acc_stderr": 0.035995863012470763, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.035995863012470763 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.39215686274509803, "acc_stderr": 0.04858083574266345, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.04858083574266345 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.8, "acc_stderr": 0.04020151261036846, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6808510638297872, "acc_stderr": 0.030472973363380045, "acc_norm": 0.6808510638297872, "acc_norm_stderr": 0.030472973363380045 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4298245614035088, "acc_stderr": 0.04657047260594963, "acc_norm": 0.4298245614035088, "acc_norm_stderr": 0.04657047260594963 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6275862068965518, "acc_stderr": 0.04028731532947558, "acc_norm": 0.6275862068965518, "acc_norm_stderr": 0.04028731532947558 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.43915343915343913, "acc_stderr": 0.025559920550531003, "acc_norm": 0.43915343915343913, "acc_norm_stderr": 0.025559920550531003 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.49206349206349204, "acc_stderr": 0.044715725362943486, "acc_norm": 0.49206349206349204, "acc_norm_stderr": 0.044715725362943486 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8161290322580645, "acc_stderr": 0.022037217340267826, "acc_norm": 0.8161290322580645, "acc_norm_stderr": 0.022037217340267826 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5369458128078818, "acc_stderr": 0.035083705204426656, "acc_norm": 0.5369458128078818, "acc_norm_stderr": 0.035083705204426656 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.8, "acc_stderr": 0.04020151261036846, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8424242424242424, "acc_stderr": 0.028450388805284357, "acc_norm": 0.8424242424242424, "acc_norm_stderr": 0.028450388805284357 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8838383838383839, "acc_stderr": 0.022828881775249377, "acc_norm": 0.8838383838383839, "acc_norm_stderr": 0.022828881775249377 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9378238341968912, "acc_stderr": 0.017426974154240528, "acc_norm": 0.9378238341968912, "acc_norm_stderr": 0.017426974154240528 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7102564102564103, "acc_stderr": 0.023000628243687968, "acc_norm": 0.7102564102564103, "acc_norm_stderr": 0.023000628243687968 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.337037037037037, "acc_stderr": 0.028820884666253255, "acc_norm": 0.337037037037037, "acc_norm_stderr": 0.028820884666253255 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.7773109243697479, "acc_stderr": 0.027025433498882385, "acc_norm": 0.7773109243697479, "acc_norm_stderr": 0.027025433498882385 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.45695364238410596, "acc_stderr": 0.04067325174247444, "acc_norm": 0.45695364238410596, "acc_norm_stderr": 0.04067325174247444 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.9027522935779817, "acc_stderr": 0.012703533408540366, "acc_norm": 0.9027522935779817, "acc_norm_stderr": 0.012703533408540366 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.6203703703703703, "acc_stderr": 0.03309682581119035, "acc_norm": 0.6203703703703703, "acc_norm_stderr": 0.03309682581119035 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.9264705882352942, "acc_stderr": 0.01831885585008968, "acc_norm": 0.9264705882352942, "acc_norm_stderr": 0.01831885585008968 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8860759493670886, "acc_stderr": 0.020681745135884565, "acc_norm": 0.8860759493670886, "acc_norm_stderr": 0.020681745135884565 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.8116591928251121, "acc_stderr": 0.026241132996407252, "acc_norm": 0.8116591928251121, "acc_norm_stderr": 0.026241132996407252 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8702290076335878, "acc_stderr": 0.029473649496907065, "acc_norm": 0.8702290076335878, "acc_norm_stderr": 0.029473649496907065 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8842975206611571, "acc_stderr": 0.02919980245562281, "acc_norm": 0.8842975206611571, "acc_norm_stderr": 0.02919980245562281 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8425925925925926, "acc_stderr": 0.035207039905179635, "acc_norm": 0.8425925925925926, "acc_norm_stderr": 0.035207039905179635 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.8220858895705522, "acc_stderr": 0.03004735765580663, "acc_norm": 0.8220858895705522, "acc_norm_stderr": 0.03004735765580663 }, "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": 0.8155339805825242, "acc_stderr": 0.03840423627288276, "acc_norm": 0.8155339805825242, "acc_norm_stderr": 0.03840423627288276 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8931623931623932, "acc_stderr": 0.020237149008990915, "acc_norm": 0.8931623931623932, "acc_norm_stderr": 0.020237149008990915 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.72, "acc_stderr": 0.04512608598542126, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542126 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8773946360153256, "acc_stderr": 0.011728672144131563, "acc_norm": 0.8773946360153256, "acc_norm_stderr": 0.011728672144131563 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7861271676300579, "acc_stderr": 0.02207570925175718, "acc_norm": 0.7861271676300579, "acc_norm_stderr": 0.02207570925175718 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.6, "acc_stderr": 0.01638463841038082, "acc_norm": 0.6, "acc_norm_stderr": 0.01638463841038082 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7647058823529411, "acc_stderr": 0.024288619466046112, "acc_norm": 0.7647058823529411, "acc_norm_stderr": 0.024288619466046112 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7813504823151125, "acc_stderr": 0.02347558141786111, "acc_norm": 0.7813504823151125, "acc_norm_stderr": 0.02347558141786111 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.8364197530864198, "acc_stderr": 0.020581466138257124, "acc_norm": 0.8364197530864198, "acc_norm_stderr": 0.020581466138257124 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.5567375886524822, "acc_stderr": 0.029634838473766006, "acc_norm": 0.5567375886524822, "acc_norm_stderr": 0.029634838473766006 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.5495436766623207, "acc_stderr": 0.012707390438502348, "acc_norm": 0.5495436766623207, "acc_norm_stderr": 0.012707390438502348 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.75, "acc_stderr": 0.026303648393696036, "acc_norm": 0.75, "acc_norm_stderr": 0.026303648393696036 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.7565359477124183, "acc_stderr": 0.01736247376214661, "acc_norm": 0.7565359477124183, "acc_norm_stderr": 0.01736247376214661 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7363636363636363, "acc_stderr": 0.04220224692971987, "acc_norm": 0.7363636363636363, "acc_norm_stderr": 0.04220224692971987 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.8122448979591836, "acc_stderr": 0.02500025603954619, "acc_norm": 0.8122448979591836, "acc_norm_stderr": 0.02500025603954619 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8805970149253731, "acc_stderr": 0.02292879327721974, "acc_norm": 0.8805970149253731, "acc_norm_stderr": 0.02292879327721974 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.92, "acc_stderr": 0.0272659924344291, "acc_norm": 0.92, "acc_norm_stderr": 0.0272659924344291 }, "harness|hendrycksTest-virology|5": { "acc": 0.5421686746987951, "acc_stderr": 0.0387862677100236, "acc_norm": 0.5421686746987951, "acc_norm_stderr": 0.0387862677100236 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8654970760233918, "acc_stderr": 0.026168221344662297, "acc_norm": 0.8654970760233918, "acc_norm_stderr": 0.026168221344662297 }, "harness|truthfulqa:mc|0": { "mc1": 0.4749082007343941, "mc1_stderr": 0.017481446804104003, "mc2": 0.639247711774609, "mc2_stderr": 0.014721455246819812 } } ``` ### 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]

Cerrisete07/Raimundo

2023-10-07T23:37:47.000Z

[ "license:other", "region:us" ]

Cerrisete07

null

0

--- license: other ---

Jamal914/Xtt

2023-09-19T01:48:31.000Z

[ "region:us" ]

Jamal914

null

0

Entry not found

zhangbo2008/Shin_Onimusha_Dawn_of_Dreams

2023-09-19T02:45:18.000Z

[ "region:us" ]

zhangbo2008

null

0

Entry not found

chenqile09/alpaca-2-13B-chinese-couplet-val-4k-predictions

2023-09-19T03:25:35.000Z

[ "region:us" ]

chenqile09

null

0

--- configs: - config_name: default data_files: - split: data path: data/data-* dataset_info: features: - name: input dtype: string - name: prediction dtype: string - name: reference dtype: string splits: - name: data num_bytes: 386019 num_examples: 4000 download_size: 341079 dataset_size: 386019 --- # Dataset Card for "alpaca-2-13B-chinese-couplet-val-4k-predictions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

chunpingvi/temp_env

2023-09-19T07:19:50.000Z

[ "region:us" ]

chunpingvi

null

0

Entry not found

chenqile09/alpaca-2-7B-chinese-couplet-val-4k-predictions

2023-09-19T03:45:31.000Z

[ "region:us" ]

chenqile09

null

0

--- configs: - config_name: default data_files: - split: data path: data/data-* dataset_info: features: - name: input dtype: string - name: prediction dtype: string - name: reference dtype: string splits: - name: data num_bytes: 386155 num_examples: 4000 download_size: 342185 dataset_size: 386155 --- # Dataset Card for "alpaca-2-7B-chinese-couplet-val-4k-predictions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Gilderlan/etinhozaudio

2023-09-19T03:49:04.000Z

[ "region:us" ]

Gilderlan

null

0

sscla/market-data

2023-09-19T11:03:45.000Z

[ "task_categories:summarization", "task_categories:text2text-generation", "language:en", "license:openrail", "region:us" ]

sscla

null

0

--- license: openrail task_categories: - summarization - text2text-generation language: - en pretty_name: u ---

linhqyy/data_aug_cua

2023-09-19T05:34:48.000Z

[ "region:us" ]

linhqyy

null

0

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: sentence dtype: string - name: intent dtype: string - name: entities list: - name: type dtype: string - name: filler dtype: string - name: labels dtype: string splits: - name: train num_bytes: 2162586 num_examples: 9941 - name: test num_bytes: 241472 num_examples: 1105 download_size: 596926 dataset_size: 2404058 --- # Dataset Card for "data_aug_cua" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

BangumiBase/jashinchandropkick

2023-09-29T09:32:28.000Z

[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]

BangumiBase

null

0

--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Jashin-chan Dropkick This is the image base of bangumi Jashin-chan Dropkick, we detected 44 characters, 6043 images in total. The full dataset is [here](all.zip). **Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------| | 0 | 1710 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 41 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 44 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 29 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 41 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 32 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 20 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 14 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 210 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 292 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 76 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 30 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 398 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 14 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 14 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 62 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | 16 | 84 | [Download](16/dataset.zip) | ![preview 1](16/preview_1.png) | ![preview 2](16/preview_2.png) | ![preview 3](16/preview_3.png) | ![preview 4](16/preview_4.png) | ![preview 5](16/preview_5.png) | ![preview 6](16/preview_6.png) | ![preview 7](16/preview_7.png) | ![preview 8](16/preview_8.png) | | 17 | 20 | [Download](17/dataset.zip) | ![preview 1](17/preview_1.png) | ![preview 2](17/preview_2.png) | ![preview 3](17/preview_3.png) | ![preview 4](17/preview_4.png) | ![preview 5](17/preview_5.png) | ![preview 6](17/preview_6.png) | ![preview 7](17/preview_7.png) | ![preview 8](17/preview_8.png) | | 18 | 21 | [Download](18/dataset.zip) | ![preview 1](18/preview_1.png) | ![preview 2](18/preview_2.png) | ![preview 3](18/preview_3.png) | ![preview 4](18/preview_4.png) | ![preview 5](18/preview_5.png) | ![preview 6](18/preview_6.png) | ![preview 7](18/preview_7.png) | ![preview 8](18/preview_8.png) | | 19 | 27 | [Download](19/dataset.zip) | ![preview 1](19/preview_1.png) | ![preview 2](19/preview_2.png) | ![preview 3](19/preview_3.png) | ![preview 4](19/preview_4.png) | ![preview 5](19/preview_5.png) | ![preview 6](19/preview_6.png) | ![preview 7](19/preview_7.png) | ![preview 8](19/preview_8.png) | | 20 | 11 | [Download](20/dataset.zip) | ![preview 1](20/preview_1.png) | ![preview 2](20/preview_2.png) | ![preview 3](20/preview_3.png) | ![preview 4](20/preview_4.png) | ![preview 5](20/preview_5.png) | ![preview 6](20/preview_6.png) | ![preview 7](20/preview_7.png) | ![preview 8](20/preview_8.png) | | 21 | 17 | [Download](21/dataset.zip) | ![preview 1](21/preview_1.png) | ![preview 2](21/preview_2.png) | ![preview 3](21/preview_3.png) | ![preview 4](21/preview_4.png) | ![preview 5](21/preview_5.png) | ![preview 6](21/preview_6.png) | ![preview 7](21/preview_7.png) | ![preview 8](21/preview_8.png) | | 22 | 143 | [Download](22/dataset.zip) | ![preview 1](22/preview_1.png) | ![preview 2](22/preview_2.png) | ![preview 3](22/preview_3.png) | ![preview 4](22/preview_4.png) | ![preview 5](22/preview_5.png) | ![preview 6](22/preview_6.png) | ![preview 7](22/preview_7.png) | ![preview 8](22/preview_8.png) | | 23 | 10 | [Download](23/dataset.zip) | ![preview 1](23/preview_1.png) | ![preview 2](23/preview_2.png) | ![preview 3](23/preview_3.png) | ![preview 4](23/preview_4.png) | ![preview 5](23/preview_5.png) | ![preview 6](23/preview_6.png) | ![preview 7](23/preview_7.png) | ![preview 8](23/preview_8.png) | | 24 | 8 | [Download](24/dataset.zip) | ![preview 1](24/preview_1.png) | ![preview 2](24/preview_2.png) | ![preview 3](24/preview_3.png) | ![preview 4](24/preview_4.png) | ![preview 5](24/preview_5.png) | ![preview 6](24/preview_6.png) | ![preview 7](24/preview_7.png) | ![preview 8](24/preview_8.png) | | 25 | 42 | [Download](25/dataset.zip) | ![preview 1](25/preview_1.png) | ![preview 2](25/preview_2.png) | ![preview 3](25/preview_3.png) | ![preview 4](25/preview_4.png) | ![preview 5](25/preview_5.png) | ![preview 6](25/preview_6.png) | ![preview 7](25/preview_7.png) | ![preview 8](25/preview_8.png) | | 26 | 217 | [Download](26/dataset.zip) | ![preview 1](26/preview_1.png) | ![preview 2](26/preview_2.png) | ![preview 3](26/preview_3.png) | ![preview 4](26/preview_4.png) | ![preview 5](26/preview_5.png) | ![preview 6](26/preview_6.png) | ![preview 7](26/preview_7.png) | ![preview 8](26/preview_8.png) | | 27 | 11 | [Download](27/dataset.zip) | ![preview 1](27/preview_1.png) | ![preview 2](27/preview_2.png) | ![preview 3](27/preview_3.png) | ![preview 4](27/preview_4.png) | ![preview 5](27/preview_5.png) | ![preview 6](27/preview_6.png) | ![preview 7](27/preview_7.png) | ![preview 8](27/preview_8.png) | | 28 | 555 | [Download](28/dataset.zip) | ![preview 1](28/preview_1.png) | ![preview 2](28/preview_2.png) | ![preview 3](28/preview_3.png) | ![preview 4](28/preview_4.png) | ![preview 5](28/preview_5.png) | ![preview 6](28/preview_6.png) | ![preview 7](28/preview_7.png) | ![preview 8](28/preview_8.png) | | 29 | 534 | [Download](29/dataset.zip) | ![preview 1](29/preview_1.png) | ![preview 2](29/preview_2.png) | ![preview 3](29/preview_3.png) | ![preview 4](29/preview_4.png) | ![preview 5](29/preview_5.png) | ![preview 6](29/preview_6.png) | ![preview 7](29/preview_7.png) | ![preview 8](29/preview_8.png) | | 30 | 11 | [Download](30/dataset.zip) | ![preview 1](30/preview_1.png) | ![preview 2](30/preview_2.png) | ![preview 3](30/preview_3.png) | ![preview 4](30/preview_4.png) | ![preview 5](30/preview_5.png) | ![preview 6](30/preview_6.png) | ![preview 7](30/preview_7.png) | ![preview 8](30/preview_8.png) | | 31 | 32 | [Download](31/dataset.zip) | ![preview 1](31/preview_1.png) | ![preview 2](31/preview_2.png) | ![preview 3](31/preview_3.png) | ![preview 4](31/preview_4.png) | ![preview 5](31/preview_5.png) | ![preview 6](31/preview_6.png) | ![preview 7](31/preview_7.png) | ![preview 8](31/preview_8.png) | | 32 | 24 | [Download](32/dataset.zip) | ![preview 1](32/preview_1.png) | ![preview 2](32/preview_2.png) | ![preview 3](32/preview_3.png) | ![preview 4](32/preview_4.png) | ![preview 5](32/preview_5.png) | ![preview 6](32/preview_6.png) | ![preview 7](32/preview_7.png) | ![preview 8](32/preview_8.png) | | 33 | 211 | [Download](33/dataset.zip) | ![preview 1](33/preview_1.png) | ![preview 2](33/preview_2.png) | ![preview 3](33/preview_3.png) | ![preview 4](33/preview_4.png) | ![preview 5](33/preview_5.png) | ![preview 6](33/preview_6.png) | ![preview 7](33/preview_7.png) | ![preview 8](33/preview_8.png) | | 34 | 160 | [Download](34/dataset.zip) | ![preview 1](34/preview_1.png) | ![preview 2](34/preview_2.png) | ![preview 3](34/preview_3.png) | ![preview 4](34/preview_4.png) | ![preview 5](34/preview_5.png) | ![preview 6](34/preview_6.png) | ![preview 7](34/preview_7.png) | ![preview 8](34/preview_8.png) | | 35 | 22 | [Download](35/dataset.zip) | ![preview 1](35/preview_1.png) | ![preview 2](35/preview_2.png) | ![preview 3](35/preview_3.png) | ![preview 4](35/preview_4.png) | ![preview 5](35/preview_5.png) | ![preview 6](35/preview_6.png) | ![preview 7](35/preview_7.png) | ![preview 8](35/preview_8.png) | | 36 | 23 | [Download](36/dataset.zip) | ![preview 1](36/preview_1.png) | ![preview 2](36/preview_2.png) | ![preview 3](36/preview_3.png) | ![preview 4](36/preview_4.png) | ![preview 5](36/preview_5.png) | ![preview 6](36/preview_6.png) | ![preview 7](36/preview_7.png) | ![preview 8](36/preview_8.png) | | 37 | 5 | [Download](37/dataset.zip) | ![preview 1](37/preview_1.png) | ![preview 2](37/preview_2.png) | ![preview 3](37/preview_3.png) | ![preview 4](37/preview_4.png) | ![preview 5](37/preview_5.png) | N/A | N/A | N/A | | 38 | 355 | [Download](38/dataset.zip) | ![preview 1](38/preview_1.png) | ![preview 2](38/preview_2.png) | ![preview 3](38/preview_3.png) | ![preview 4](38/preview_4.png) | ![preview 5](38/preview_5.png) | ![preview 6](38/preview_6.png) | ![preview 7](38/preview_7.png) | ![preview 8](38/preview_8.png) | | 39 | 33 | [Download](39/dataset.zip) | ![preview 1](39/preview_1.png) | ![preview 2](39/preview_2.png) | ![preview 3](39/preview_3.png) | ![preview 4](39/preview_4.png) | ![preview 5](39/preview_5.png) | ![preview 6](39/preview_6.png) | ![preview 7](39/preview_7.png) | ![preview 8](39/preview_8.png) | | 40 | 7 | [Download](40/dataset.zip) | ![preview 1](40/preview_1.png) | ![preview 2](40/preview_2.png) | ![preview 3](40/preview_3.png) | ![preview 4](40/preview_4.png) | ![preview 5](40/preview_5.png) | ![preview 6](40/preview_6.png) | ![preview 7](40/preview_7.png) | N/A | | 41 | 9 | [Download](41/dataset.zip) | ![preview 1](41/preview_1.png) | ![preview 2](41/preview_2.png) | ![preview 3](41/preview_3.png) | ![preview 4](41/preview_4.png) | ![preview 5](41/preview_5.png) | ![preview 6](41/preview_6.png) | ![preview 7](41/preview_7.png) | ![preview 8](41/preview_8.png) | | 42 | 5 | [Download](42/dataset.zip) | ![preview 1](42/preview_1.png) | ![preview 2](42/preview_2.png) | ![preview 3](42/preview_3.png) | ![preview 4](42/preview_4.png) | ![preview 5](42/preview_5.png) | N/A | N/A | N/A | | noise | 419 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |

wangdayaya/beauty-avatar

2023-09-19T06:21:46.000Z

[ "region:us" ]

wangdayaya

null

0

Entry not found

sameer7/plag

2023-09-19T06:41:24.000Z

[ "region:us" ]

sameer7

null

0

Entry not found

aravindasai/taco_menu

2023-09-19T07:00:09.000Z

[ "region:us" ]

aravindasai

null

0

Entry not found

xlagor/FIT5215

2023-09-19T07:14:29.000Z

[ "region:us" ]

xlagor

null

0

Entry not found

spideyrim/output

2023-09-19T07:47:05.000Z

[ "region:us" ]

spideyrim

null

0

Entry not found

SoloTech/ia

2023-09-19T07:48:22.000Z

[ "region:us" ]

SoloTech

null

0

CCRs/qqp-Quora_Question_Pairs

2023-09-27T05:32:33.000Z

[ "region:us" ]

CCRs

null

0

<a href="https://www.kaggle.com/competitions/quora-question-pairs/data?select=test.csv.zip">from</a> translated to kz dataset --- license: mit ---

Fuyuka29/Ishar

2023-09-19T07:51:34.000Z

[ "region:us" ]

Fuyuka29

null

0

Entry not found

CyberNative/CryptoTorgashi

2023-09-19T07:55:27.000Z

[ "region:us" ]

CyberNative

null

0

Entry not found

Falah/chapter1_0_prompts

2023-09-20T10:08:54.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2523 num_examples: 9 download_size: 3966 dataset_size: 2523 --- # Dataset Card for "chapter1_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter1_1_prompts

2023-09-20T10:09:01.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 289 num_examples: 1 download_size: 2462 dataset_size: 289 --- # Dataset Card for "chapter1_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter1_2_prompts

2023-09-19T08:22:52.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 151 num_examples: 1 download_size: 1499 dataset_size: 151 --- # Dataset Card for "chapter1_2_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

KnutJaegersberg/facehugger

2023-09-19T08:25:23.000Z

[ "license:cc-by-nc-4.0", "region:us" ]

KnutJaegersberg

null

0

--- license: cc-by-nc-4.0 --- Just a downsampled version of the trilobite. I tested it with a 3b model, it has comparable or even superior benchmarking results as the trilobite.

nc33/clmdata

2023-09-19T08:36:10.000Z

[ "region:us" ]

nc33

null

0

Entry not found

bongo2112/alikiba-SDxl-Comic-Style-Outputs

2023-09-23T11:23:09.000Z

[ "region:us" ]

bongo2112

null

0

Entry not found

Falah/chapter2_0_prompts

2023-09-20T10:15:42.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3019 num_examples: 10 download_size: 4623 dataset_size: 3019 --- # Dataset Card for "chapter2_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter2_1_prompts

2023-09-20T10:15:50.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2873 num_examples: 14 download_size: 3760 dataset_size: 2873 --- # Dataset Card for "chapter2_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter3_0_prompts

2023-09-20T10:19:41.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 4051 num_examples: 13 download_size: 5038 dataset_size: 4051 --- # Dataset Card for "chapter3_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter3_1_prompts

2023-09-20T10:19:49.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3101 num_examples: 10 download_size: 4529 dataset_size: 3101 --- # Dataset Card for "chapter3_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter4_0_prompts

2023-09-19T08:54:27.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2120 num_examples: 6 download_size: 3737 dataset_size: 2120 --- # Dataset Card for "chapter4_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter4_1_prompts

2023-09-19T08:54:31.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3574 num_examples: 12 download_size: 4412 dataset_size: 3574 --- # Dataset Card for "chapter4_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter5_0_prompts

2023-09-19T08:56:33.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2858 num_examples: 8 download_size: 4636 dataset_size: 2858 --- # Dataset Card for "chapter5_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter5_1_prompts

2023-09-19T08:56:37.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3741 num_examples: 9 download_size: 5533 dataset_size: 3741 --- # Dataset Card for "chapter5_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter6_0_prompts

2023-09-19T08:58:22.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3832 num_examples: 15 download_size: 4044 dataset_size: 3832 --- # Dataset Card for "chapter6_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter6_1_prompts

2023-09-19T08:58:26.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2772 num_examples: 9 download_size: 3664 dataset_size: 2772 --- # Dataset Card for "chapter6_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter7_0_prompts

2023-09-19T08:59:28.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2761 num_examples: 9 download_size: 3857 dataset_size: 2761 --- # Dataset Card for "chapter7_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter7_1_prompts

2023-09-19T08:59:32.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3050 num_examples: 10 download_size: 3219 dataset_size: 3050 --- # Dataset Card for "chapter7_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter8_0_prompts

2023-09-19T09:00:33.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3238 num_examples: 11 download_size: 4431 dataset_size: 3238 --- # Dataset Card for "chapter8_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter8_1_prompts

2023-09-19T09:00:37.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2646 num_examples: 9 download_size: 3300 dataset_size: 2646 --- # Dataset Card for "chapter8_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter9_0_prompts

2023-09-19T09:01:48.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2878 num_examples: 10 download_size: 4316 dataset_size: 2878 --- # Dataset Card for "chapter9_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter9_1_prompts

2023-09-19T09:01:52.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3673 num_examples: 11 download_size: 4563 dataset_size: 3673 --- # Dataset Card for "chapter9_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

liaochuweidavid/swahili_emo

2023-09-19T09:23:02.000Z

[ "region:us" ]

liaochuweidavid

null

0

Entry not found

eswardivi/Malayalam_MSA

2023-09-19T09:37:24.000Z

[ "region:us" ]

eswardivi

null

0

--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: audio dtype: audio - name: label dtype: class_label: names: '0': Negative '1': Neutral '2': Positive splits: - name: train num_bytes: 91107974.0 num_examples: 70 download_size: 90971844 dataset_size: 91107974.0 --- # Dataset Card for "Malayalam_MSA" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter10_0_prompts

2023-09-19T16:05:31.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2212 num_examples: 6 download_size: 4047 dataset_size: 2212 --- # Dataset Card for "chapter10_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/chapter10_1_prompts

2023-09-19T16:05:34.000Z

[ "region:us" ]

Falah

null

0

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2850 num_examples: 10 download_size: 4171 dataset_size: 2850 --- # Dataset Card for "chapter10_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Andyrasika/cow_dataset

2023-09-19T09:57:01.000Z

[ "region:us" ]

Andyrasika

null

0

--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: int32 - name: image dtype: image splits: - name: train num_bytes: 145565588.0 num_examples: 51 download_size: 130979749 dataset_size: 145565588.0 --- # Dataset Card for "cow_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

lunaluan/chatbox2_history

2023-10-11T01:22:00.000Z

[ "region:us" ]

lunaluan

null

0

Entry not found

mrchtr/cc-test

2023-09-19T10:20:06.000Z

[ "region:us" ]

mrchtr

null

0

Entry not found

Back-up/review

2023-09-19T10:20:20.000Z

[ "region:us" ]

Back-up

null

0

Entry not found

Jan150000/visual

2023-09-19T10:30:00.000Z

[ "license:openrail", "region:us" ]

Jan150000

null

0

--- license: openrail ---

jj1000/files

2023-09-19T10:32:40.000Z

[ "region:us" ]

jj1000

null

0

Entry not found

Datasaur/mongabay-experiment

2023-09-19T10:51:05.000Z

[ "region:us" ]

Datasaur

null

0

Entry not found

dvrkdvys/ted_cruz

2023-09-19T11:26:34.000Z

[ "region:us" ]

dvrkdvys

null

0

Entry not found

HarshSinyal/AnomolyDetection_DL_PickleFile

2023-09-19T11:02:03.000Z

[ "license:afl-3.0", "region:us" ]

HarshSinyal

null

0

--- license: afl-3.0 ---

CyberHarem/xie_shen_chiyan_jashinchandropkick

2023-09-19T11:12:33.000Z

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

CyberHarem

null

0

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of 邪神ちゃん This is the dataset of 邪神ちゃん, containing 299 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)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 299 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 684 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 299 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 299 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 299 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 299 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 299 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 684 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 684 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 684 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |

CyberHarem/hua_yuan_yurine_jashinchandropkick

2023-09-19T11:38:22.000Z

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

CyberHarem

null

0

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of 花園ゆりね This is the dataset of 花園ゆりね, containing 276 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)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 276 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 638 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 276 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 276 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 276 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 276 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 276 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 638 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 638 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 638 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |

lunaluan/chatbox3_history

2023-10-11T01:22:16.000Z

[ "region:us" ]

lunaluan

null

0

Entry not found

AdrianM0/bicerano_polymers

2023-09-19T11:48:21.000Z

[ "license:mit", "region:us" ]

AdrianM0

null

0

--- license: mit ---

dhenypatungka/X-RealistcV.1.1

2023-09-19T11:54:46.000Z

[ "region:us" ]

dhenypatungka

null

0

Entry not found

CyberHarem/pekora_jashinchandropkick

2023-09-19T11:57:19.000Z

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

CyberHarem

null

0

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Pekora This is the dataset of Pekora, containing 276 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)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 276 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 627 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 276 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 276 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 276 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 276 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 276 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 627 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 627 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 627 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |

bongo2112/samia-SDxl-Comic-Style-Outputs

2023-09-19T12:06:54.000Z

[ "region:us" ]

bongo2112

null

0

Entry not found

CyberHarem/medeyusa_jashinchandropkick

2023-09-19T12:14:57.000Z

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

CyberHarem

null

0

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of メデューサ This is the dataset of メデューサ, containing 268 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)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 268 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 591 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 268 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 268 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 268 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 268 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 268 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 591 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 591 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 591 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |

vaibhavaHCL/English_fixlet_dataset_new

2023-09-19T12:13:44.000Z

[ "region:us" ]

vaibhavaHCL

null

0

Entry not found

yejeekang/legal_cn_instruction

2023-09-19T12:16:24.000Z

[ "license:afl-3.0", "region:us" ]

yejeekang

null

0

--- license: afl-3.0 ---

CyberHarem/minosu_jashinchandropkick

2023-09-19T12:35:55.000Z

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

CyberHarem

null

0

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of ミノス This is the dataset of ミノス, containing 283 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)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 283 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 673 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 283 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 283 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 283 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 283 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 283 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 673 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 673 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 673 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |

bongo2112/mwijaku-SDxl-Comic-Style-Outputs

2023-09-19T15:20:41.000Z

[ "region:us" ]

bongo2112

null

0

Entry not found

razagigz/dataset_storage

2023-09-26T10:57:28.000Z

[ "region:us" ]

razagigz

null

0

Entry not found

bongo2112/magufuli-SDxl-Comic-Style-Outputs

2023-09-19T15:55:28.000Z

[ "region:us" ]

bongo2112

null

0

Entry not found

CyberHarem/poporon_jashinchandropkick

2023-09-19T13:02:32.000Z

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

CyberHarem

null

0

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of ぽぽろん This is the dataset of ぽぽろん, containing 269 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)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 269 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 668 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 269 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 269 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 269 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 269 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 269 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 668 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 668 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 668 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |

CyberHarem/perusepone2shi_jashinchandropkick

2023-09-19T13:15:05.000Z

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

CyberHarem

null

0

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of ペルセポネ2世 This is the dataset of ペルセポネ2世, containing 144 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)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 144 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 330 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 144 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 144 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 144 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 144 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 144 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 330 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 330 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 330 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |

CyberHarem/rieru_jashinchandropkick

2023-09-19T13:29:16.000Z

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

CyberHarem

null

0

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of リエール This is the dataset of リエール, containing 178 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)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 178 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 363 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 178 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 178 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 178 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 178 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 178 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 363 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 363 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 363 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |

CyberHarem/pino_jashinchandropkick

2023-09-19T13:51:07.000Z

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

CyberHarem

null

0

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of ぴの This is the dataset of ぴの, containing 201 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)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 201 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 480 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 201 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 201 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 201 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 201 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 201 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 480 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 480 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 480 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |

xlzoiolx/loud-coringa-v0111

2023-09-19T14:00:10.000Z

[ "license:cc", "region:us" ]

xlzoiolx

null

0

--- license: cc ---

DialogueCharacter/chinese_general_instruction_with_reward_score

2023-09-19T14:07:52.000Z

[ "region:us" ]

DialogueCharacter

null

1

0

--- dataset_info: features: - name: input dtype: string - name: output dtype: string - name: reward_score dtype: float64 splits: - name: train num_bytes: 1634095908 num_examples: 1169201 download_size: 998968518 dataset_size: 1634095908 --- # Dataset Card for "chinese_general_instruction_with_reward_score" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

DSSGxMunich/land_parcels

2023-10-06T10:54:12.000Z

[ "license:mit", "region:us" ]

DSSGxMunich

null

1

0

--- license: mit --- # Dataset Card for Land Parcels ## Dataset Description **Homepage:** [DSSGx Munich](https://sites.google.com/view/dssgx-munich-2023/startseite) organization page. **Repository:** [GitHub](https://github.com/DSSGxMunich/land-sealing-dataset-and-analysis). ### Dataset Summary This dataset contains information about land parcels with building plans in the region of Northern-Rhine Westphalia. It was downloaded from the [NRW Geoportal.](https://www.geoportal.nrw/?activetab=portal) ## Dataset Structure ### Data Fields - **objectid**: Unique ID used for each land parcel. - **planid**: ID from the Geoportal. - **levelplan**: Spatial plan level. Classification scheme specified, required according to the INSPIRE term “infra-local”. - **name**: Name of building plan. - **kommune**: Municipality. - **gkz**: Municipal code of the municipality. - **nr**: In the municipality only once occurring number of the plan. Can also combine letters and numbers. The numbering system should be defined by the municipality before the first plan entry. - **besch**: Brief description of the building plan. - **aend**: Use dependent on building name and reference to change. - **aendert**: The ID of the original plan that is being changed. - **stand**: According to code list legal status. - **planart**: Type of plan/statute. - **datum**: Date of building plan. - **scanurl**: URL of the scanned building plan. - **texturl**: URL to textual determinations, necessary if scanned plan does not contain them. - **legendeurl**: URL to the plan symbols (legend) necessary, if plan symbols and determinations are available separately. - **sonsturl**: If the URL under "Document" only links to the actual plan drawing (without supplementary documents), then a URL must be added under this field, under which the corresponding additional content (such as expert opinions) can be found. - **verfahren**: Type of plan procedure. - **plantyp**: The type of the plan. - **aendnr**: Number of the modified plan. - **begruendurl**: URL for justification. Necessary if justification and determinations are available separately. - **umweltberurl**: URL to the environmental report. Necessary if report and determinations are available separately. - **erklaerungurl**: URL to the recapitulative statement. Necessary if declaration and determinations are available separately. - **shape_Length**: The length of the land parcel - **shape_Area**: The area of the land parcel - **regional_plan_id**: Unique ID of regional plan the land parcel is in. - **regional_plan_name**: Name of the regional plan the land parcel is in. - **ART**: Unique ID of regional plan the land parcel is in. - **geometry**: Geographical location of the land parcel. More information on this fields can be found in the NRW documentation [here](https://www.bauportal.nrw/system/files/media/document/file/21-12-08-bauleitplanung_benutzerhandbuch.pdf). ### Source Data #### Initial Data Collection The data was downloaded from the NRW Geoportal, selecting the information of building plans and exporting the features as a GeoJSon in QGIS.

abbottcolette/storage

2023-09-19T14:39:32.000Z

[ "region:us" ]

abbottcolette

null

0

Entry not found

justinpinkney/pokemon-blip-captions-wds

2023-09-19T14:32:11.000Z

[ "region:us" ]

justinpinkney

null

0

Webdataset version of: [lambdalabs/pokemon-blip-captions](https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions)

basncy/test-set

2023-09-19T14:38:45.000Z

[ "license:apache-2.0", "region:us" ]

basncy

null

0

--- license: apache-2.0 ---

DucHaiten/NSFW

2023-10-10T06:20:57.000Z

[ "license:creativeml-openrail-m", "region:us" ]

DucHaiten

null

0

--- license: creativeml-openrail-m ---

vikp/clean_notebooks_filtered

2023-09-19T16:02:46.000Z

[ "region:us" ]

vikp

null

0

--- dataset_info: features: - name: code dtype: string - name: kind dtype: string - name: parsed_code dtype: string - name: quality_prob dtype: float64 - name: learning_prob dtype: float64 splits: - name: train num_bytes: 3018948094.822456 num_examples: 195900 download_size: 1476349379 dataset_size: 3018948094.822456 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "clean_notebooks_filtered" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

newdboy/cj_ko_words

2023-09-19T15:58:43.000Z

[ "license:openrail", "region:us" ]

newdboy

null

0

--- license: openrail ---

linhqyy/data_aug_full

2023-09-19T16:02:48.000Z

[ "region:us" ]

linhqyy

null

0

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: sentence dtype: string - name: intent dtype: string - name: entities list: - name: type dtype: string - name: filler dtype: string - name: labels dtype: string splits: - name: train num_bytes: 1710412 num_examples: 8096 - name: test num_bytes: 147335 num_examples: 704 download_size: 439882 dataset_size: 1857747 --- # Dataset Card for "data_aug_full" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

CyberHarem/yoshida_yuko_thedemongirlnextdoor

2023-09-19T16:18:14.000Z

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

CyberHarem

null

0

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Yoshida Yuko This is the dataset of Yoshida Yuko, containing 300 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)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 300 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 729 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 300 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 300 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 300 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 300 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 300 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 729 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 729 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 729 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |

Gilderlan/dataset

2023-09-19T16:29:13.000Z

[ "region:us" ]

Gilderlan

null

0

Entry not found

mashiramaru/achylisflie

2023-09-19T16:44:59.000Z

[ "license:other", "region:us" ]

mashiramaru

null

0

--- license: other ---

toninhodjj/khortex

2023-09-19T16:53:43.000Z

[ "region:us" ]

toninhodjj

null

0

Entry not found

CyberHarem/chiyoda_momo_thedemongirlnextdoor

2023-09-19T17:07:50.000Z

[ "task_categories:text-to-image", "size_categories:n<1K", "license:mit", "art", "not-for-all-audiences", "region:us" ]

CyberHarem

null

0

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Chiyoda Momo This is the dataset of Chiyoda Momo, containing 296 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)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 296 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 749 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 296 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 296 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 296 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 296 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 296 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 749 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 749 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 749 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |