Split (1)

train · 58.2k rows

datasetId stringlengths 2 117	author stringlengths 2 42 ⌀	last_modified timestamp[us, tz=UTC]	downloads int64 0 9.36M	likes int64 0 3.89k	tags list	task_categories list	createdAt timestamp[us, tz=UTC]	card stringlengths 19 1.01M	embedding list
open-llm-leaderboard/details_WhoTookMyAmogusNickname__NewHope_HF_not_official	open-llm-leaderboard	2023-09-17T06:38:11Z	260	0	[ "region:us" ]	null	2023-08-27T12:11:19Z	--- pretty_name: Evaluation run of WhoTookMyAmogusNickname/NewHope_HF_not_official dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [WhoTookMyAmogusNickname/NewHope_HF_not_official](https://huggingface.co/WhoTookMyAmogusNickname/NewHope_HF_not_official)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_WhoTookMyAmogusNickname__NewHope_HF_not_official\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-17T06:38:00.301208](https://huggingface.co/datasets/open-llm-leaderboard/details_WhoTookMyAmogusNickname__NewHope_HF_not_official/blob/main/results_2023-09-17T06-38-00.301208.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.19693791946308725,\n\ \ \"em_stderr\": 0.004072666833657848,\n \"f1\": 0.2666285654362424,\n\ \ \"f1_stderr\": 0.004068431318455121,\n \"acc\": 0.4541280286361735,\n\ \ \"acc_stderr\": 0.011115742216344062\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.19693791946308725,\n \"em_stderr\": 0.004072666833657848,\n\ \ \"f1\": 0.2666285654362424,\n \"f1_stderr\": 0.004068431318455121\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.15845337376800606,\n \ \ \"acc_stderr\": 0.010058474790238971\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.749802683504341,\n \"acc_stderr\": 0.012173009642449151\n\ \ }\n}\n```" repo_url: https://huggingface.co/WhoTookMyAmogusNickname/NewHope_HF_not_official leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|arc:challenge\|25_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-22T14:04:45.383046.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_17T06_38_00.301208 path: - '/details_harness\|drop\|3_2023-09-17T06-38-00.301208.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-17T06-38-00.301208.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_17T06_38_00.301208 path: - '/details_harness\|gsm8k\|5_2023-09-17T06-38-00.301208.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-17T06-38-00.301208.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hellaswag\|10_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T14:04:45.383046.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T14:04:45.383046.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_22T14_04_45.383046 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-22T14:04:45.383046.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-22T14:04:45.383046.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_17T06_38_00.301208 path: - '/details_harness\|winogrande\|5_2023-09-17T06-38-00.301208.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-17T06-38-00.301208.parquet' - config_name: results data_files: - split: 2023_09_17T06_38_00.301208 path: - results_2023-09-17T06-38-00.301208.parquet - split: latest path: - results_2023-09-17T06-38-00.301208.parquet --- # Dataset Card for Evaluation run of WhoTookMyAmogusNickname/NewHope_HF_not_official ## Dataset Description - Homepage: - Repository: https://huggingface.co/WhoTookMyAmogusNickname/NewHope_HF_not_official - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: [email protected] ### Dataset Summary Dataset automatically created during the evaluation run of model [WhoTookMyAmogusNickname/NewHope_HF_not_official](https://huggingface.co/WhoTookMyAmogusNickname/NewHope_HF_not_official) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_WhoTookMyAmogusNickname__NewHope_HF_not_official", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-17T06:38:00.301208](https://huggingface.co/datasets/open-llm-leaderboard/details_WhoTookMyAmogusNickname__NewHope_HF_not_official/blob/main/results_2023-09-17T06-38-00.301208.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.19693791946308725, "em_stderr": 0.004072666833657848, "f1": 0.2666285654362424, "f1_stderr": 0.004068431318455121, "acc": 0.4541280286361735, "acc_stderr": 0.011115742216344062 }, "harness\|drop\|3": { "em": 0.19693791946308725, "em_stderr": 0.004072666833657848, "f1": 0.2666285654362424, "f1_stderr": 0.004068431318455121 }, "harness\|gsm8k\|5": { "acc": 0.15845337376800606, "acc_stderr": 0.010058474790238971 }, "harness\|winogrande\|5": { "acc": 0.749802683504341, "acc_stderr": 0.012173009642449151 } } ``` ### 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]	[ -0.41621097922325134, -0.6000521183013916, 0.25950926542282104, 0.23572537302970886, -0.12585391104221344, 0.21095040440559387, -0.39810287952423096, -0.20520928502082825, 0.5028718113899231, 0.5836989283561707, -0.7747814059257507, -1.0063259601593018, -0.7945375442504883, 0.23440830409526825, -0.12053167074918747, 1.1032979488372803, -0.27270954847335815, -0.27352866530418396, 0.016924766823649406, -0.3454934358596802, -0.3019753694534302, -0.42748990654945374, -0.42836639285087585, 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open-llm-leaderboard/details_PeanutJar__LLaMa-2-PeanutButter_v19_R8-7B	open-llm-leaderboard	2023-09-12T09:59:57Z	260	0	[ "region:us" ]	null	2023-09-12T09:58:54Z	--- pretty_name: Evaluation run of PeanutJar/LLaMa-2-PeanutButter_v19_R8-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [PeanutJar/LLaMa-2-PeanutButter_v19_R8-7B](https://huggingface.co/PeanutJar/LLaMa-2-PeanutButter_v19_R8-7B)\ \ 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_PeanutJar__LLaMa-2-PeanutButter_v19_R8-7B\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-09-12T09:58:38.972064](https://huggingface.co/datasets/open-llm-leaderboard/details_PeanutJar__LLaMa-2-PeanutButter_v19_R8-7B/blob/main/results_2023-09-12T09-58-38.972064.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\": 0.4674367304116677,\n\ \ \"acc_stderr\": 0.035284344124032196,\n \"acc_norm\": 0.4714260290393888,\n\ \ \"acc_norm_stderr\": 0.03526985338617593,\n \"mc1\": 0.2631578947368421,\n\ \ \"mc1_stderr\": 0.015415241740237014,\n \"mc2\": 0.3961362396399567,\n\ \ \"mc2_stderr\": 0.013785031017759436\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.4948805460750853,\n \"acc_stderr\": 0.014610624890309157,\n\ \ \"acc_norm\": 0.5332764505119454,\n \"acc_norm_stderr\": 0.014578995859605802\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.5902210714997013,\n\ \ \"acc_stderr\": 0.004907877144720015,\n \"acc_norm\": 0.7871937860983867,\n\ \ \"acc_norm_stderr\": 0.004084552641903664\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\": 0.4740740740740741,\n\ \ \"acc_stderr\": 0.04313531696750575,\n \"acc_norm\": 0.4740740740740741,\n\ \ \"acc_norm_stderr\": 0.04313531696750575\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.40789473684210525,\n \"acc_stderr\": 0.03999309712777471,\n\ \ \"acc_norm\": 0.40789473684210525,\n \"acc_norm_stderr\": 0.03999309712777471\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.51,\n\ \ \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.51,\n \ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.4377358490566038,\n \"acc_stderr\": 0.030533338430467516,\n\ \ \"acc_norm\": 0.4377358490566038,\n \"acc_norm_stderr\": 0.030533338430467516\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.4583333333333333,\n\ \ \"acc_stderr\": 0.04166666666666665,\n \"acc_norm\": 0.4583333333333333,\n\ \ \"acc_norm_stderr\": 0.04166666666666665\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.047609522856952344,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.047609522856952344\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \"acc_norm\"\ : 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.43352601156069365,\n\ \ \"acc_stderr\": 0.03778621079092055,\n \"acc_norm\": 0.43352601156069365,\n\ \ \"acc_norm_stderr\": 0.03778621079092055\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.19607843137254902,\n \"acc_stderr\": 0.03950581861179964,\n\ \ \"acc_norm\": 0.19607843137254902,\n \"acc_norm_stderr\": 0.03950581861179964\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.59,\n \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.59,\n\ \ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.425531914893617,\n \"acc_stderr\": 0.03232146916224469,\n\ \ \"acc_norm\": 0.425531914893617,\n \"acc_norm_stderr\": 0.03232146916224469\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.2982456140350877,\n\ \ \"acc_stderr\": 0.04303684033537315,\n \"acc_norm\": 0.2982456140350877,\n\ \ \"acc_norm_stderr\": 0.04303684033537315\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.42758620689655175,\n \"acc_stderr\": 0.04122737111370331,\n\ \ \"acc_norm\": 0.42758620689655175,\n \"acc_norm_stderr\": 0.04122737111370331\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.2724867724867725,\n \"acc_stderr\": 0.022930973071633363,\n \"\ acc_norm\": 0.2724867724867725,\n \"acc_norm_stderr\": 0.022930973071633363\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.3253968253968254,\n\ \ \"acc_stderr\": 0.04190596438871136,\n \"acc_norm\": 0.3253968253968254,\n\ \ \"acc_norm_stderr\": 0.04190596438871136\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.5064516129032258,\n\ \ \"acc_stderr\": 0.02844163823354051,\n \"acc_norm\": 0.5064516129032258,\n\ \ \"acc_norm_stderr\": 0.02844163823354051\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.33497536945812806,\n \"acc_stderr\": 0.033208527423483104,\n\ \ \"acc_norm\": 0.33497536945812806,\n \"acc_norm_stderr\": 0.033208527423483104\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\"\ : 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.5818181818181818,\n \"acc_stderr\": 0.03851716319398393,\n\ \ \"acc_norm\": 0.5818181818181818,\n \"acc_norm_stderr\": 0.03851716319398393\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.5151515151515151,\n \"acc_stderr\": 0.03560716516531061,\n \"\ acc_norm\": 0.5151515151515151,\n \"acc_norm_stderr\": 0.03560716516531061\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.6580310880829016,\n \"acc_stderr\": 0.03423465100104283,\n\ \ \"acc_norm\": 0.6580310880829016,\n \"acc_norm_stderr\": 0.03423465100104283\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.44358974358974357,\n \"acc_stderr\": 0.025189149894764198,\n\ \ \"acc_norm\": 0.44358974358974357,\n \"acc_norm_stderr\": 0.025189149894764198\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.2814814814814815,\n \"acc_stderr\": 0.027420019350945277,\n \ \ \"acc_norm\": 0.2814814814814815,\n \"acc_norm_stderr\": 0.027420019350945277\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.031968769891957786,\n\ \ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.031968769891957786\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.2980132450331126,\n \"acc_stderr\": 0.03734535676787198,\n \"\ acc_norm\": 0.2980132450331126,\n \"acc_norm_stderr\": 0.03734535676787198\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.6330275229357798,\n \"acc_stderr\": 0.020664675659520525,\n \"\ acc_norm\": 0.6330275229357798,\n \"acc_norm_stderr\": 0.020664675659520525\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.26851851851851855,\n \"acc_stderr\": 0.030225226160012383,\n \"\ acc_norm\": 0.26851851851851855,\n \"acc_norm_stderr\": 0.030225226160012383\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.5735294117647058,\n \"acc_stderr\": 0.03471157907953427,\n \"\ acc_norm\": 0.5735294117647058,\n \"acc_norm_stderr\": 0.03471157907953427\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.6244725738396625,\n \"acc_stderr\": 0.03152256243091156,\n \ \ \"acc_norm\": 0.6244725738396625,\n \"acc_norm_stderr\": 0.03152256243091156\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.5605381165919282,\n\ \ \"acc_stderr\": 0.03331092511038179,\n \"acc_norm\": 0.5605381165919282,\n\ \ \"acc_norm_stderr\": 0.03331092511038179\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.5725190839694656,\n \"acc_stderr\": 0.04338920305792401,\n\ \ \"acc_norm\": 0.5725190839694656,\n \"acc_norm_stderr\": 0.04338920305792401\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.6115702479338843,\n \"acc_stderr\": 0.04449270350068383,\n \"\ acc_norm\": 0.6115702479338843,\n \"acc_norm_stderr\": 0.04449270350068383\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.5185185185185185,\n\ \ \"acc_stderr\": 0.04830366024635331,\n \"acc_norm\": 0.5185185185185185,\n\ \ \"acc_norm_stderr\": 0.04830366024635331\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.5214723926380368,\n \"acc_stderr\": 0.03924746876751129,\n\ \ \"acc_norm\": 0.5214723926380368,\n \"acc_norm_stderr\": 0.03924746876751129\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.38392857142857145,\n\ \ \"acc_stderr\": 0.04616143075028547,\n \"acc_norm\": 0.38392857142857145,\n\ \ \"acc_norm_stderr\": 0.04616143075028547\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.5631067961165048,\n \"acc_stderr\": 0.049111471073657764,\n\ \ \"acc_norm\": 0.5631067961165048,\n \"acc_norm_stderr\": 0.049111471073657764\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.6923076923076923,\n\ \ \"acc_stderr\": 0.03023638994217308,\n \"acc_norm\": 0.6923076923076923,\n\ \ \"acc_norm_stderr\": 0.03023638994217308\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.53,\n \"acc_stderr\": 0.05016135580465919,\n \ \ \"acc_norm\": 0.53,\n \"acc_norm_stderr\": 0.05016135580465919\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.6462324393358876,\n\ \ \"acc_stderr\": 0.017098184708161903,\n \"acc_norm\": 0.6462324393358876,\n\ \ \"acc_norm_stderr\": 0.017098184708161903\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.026919095102908273,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.026919095102908273\n \ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.24022346368715083,\n\ \ \"acc_stderr\": 0.014288343803925293,\n \"acc_norm\": 0.24022346368715083,\n\ \ \"acc_norm_stderr\": 0.014288343803925293\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.477124183006536,\n \"acc_stderr\": 0.028599936776089775,\n\ \ \"acc_norm\": 0.477124183006536,\n \"acc_norm_stderr\": 0.028599936776089775\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.5884244372990354,\n\ \ \"acc_stderr\": 0.02795048149440127,\n \"acc_norm\": 0.5884244372990354,\n\ \ \"acc_norm_stderr\": 0.02795048149440127\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.4845679012345679,\n \"acc_stderr\": 0.0278074900442762,\n\ \ \"acc_norm\": 0.4845679012345679,\n \"acc_norm_stderr\": 0.0278074900442762\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.3829787234042553,\n \"acc_stderr\": 0.02899908090480618,\n \ \ \"acc_norm\": 0.3829787234042553,\n \"acc_norm_stderr\": 0.02899908090480618\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.363754889178618,\n\ \ \"acc_stderr\": 0.012286991879902884,\n \"acc_norm\": 0.363754889178618,\n\ \ \"acc_norm_stderr\": 0.012286991879902884\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.5330882352941176,\n \"acc_stderr\": 0.03030625772246832,\n\ \ \"acc_norm\": 0.5330882352941176,\n \"acc_norm_stderr\": 0.03030625772246832\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.46078431372549017,\n \"acc_stderr\": 0.020165523313907904,\n \ \ \"acc_norm\": 0.46078431372549017,\n \"acc_norm_stderr\": 0.020165523313907904\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.5454545454545454,\n\ \ \"acc_stderr\": 0.04769300568972743,\n \"acc_norm\": 0.5454545454545454,\n\ \ \"acc_norm_stderr\": 0.04769300568972743\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.5061224489795918,\n \"acc_stderr\": 0.03200682020163908,\n\ \ \"acc_norm\": 0.5061224489795918,\n \"acc_norm_stderr\": 0.03200682020163908\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.6318407960199005,\n\ \ \"acc_stderr\": 0.03410410565495301,\n \"acc_norm\": 0.6318407960199005,\n\ \ \"acc_norm_stderr\": 0.03410410565495301\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.64,\n \"acc_stderr\": 0.04824181513244218,\n \ \ \"acc_norm\": 0.64,\n \"acc_norm_stderr\": 0.04824181513244218\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.40963855421686746,\n\ \ \"acc_stderr\": 0.03828401115079022,\n \"acc_norm\": 0.40963855421686746,\n\ \ \"acc_norm_stderr\": 0.03828401115079022\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.7017543859649122,\n \"acc_stderr\": 0.03508771929824563,\n\ \ \"acc_norm\": 0.7017543859649122,\n \"acc_norm_stderr\": 0.03508771929824563\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.2631578947368421,\n\ \ \"mc1_stderr\": 0.015415241740237014,\n \"mc2\": 0.3961362396399567,\n\ \ \"mc2_stderr\": 0.013785031017759436\n }\n}\n```" repo_url: https://huggingface.co/PeanutJar/LLaMa-2-PeanutButter_v19_R8-7B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|arc:challenge\|25_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hellaswag\|10_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-12T09-58-38.972064.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-12T09-58-38.972064.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_12T09_58_38.972064 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-12T09-58-38.972064.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-12T09-58-38.972064.parquet' - config_name: results data_files: - split: 2023_09_12T09_58_38.972064 path: - results_2023-09-12T09-58-38.972064.parquet - split: latest path: - results_2023-09-12T09-58-38.972064.parquet --- # Dataset Card for Evaluation run of PeanutJar/LLaMa-2-PeanutButter_v19_R8-7B ## Dataset Description - Homepage: - Repository: https://huggingface.co/PeanutJar/LLaMa-2-PeanutButter_v19_R8-7B - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: [email protected] ### Dataset Summary Dataset automatically created during the evaluation run of model [PeanutJar/LLaMa-2-PeanutButter_v19_R8-7B](https://huggingface.co/PeanutJar/LLaMa-2-PeanutButter_v19_R8-7B) 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_PeanutJar__LLaMa-2-PeanutButter_v19_R8-7B", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-09-12T09:58:38.972064](https://huggingface.co/datasets/open-llm-leaderboard/details_PeanutJar__LLaMa-2-PeanutButter_v19_R8-7B/blob/main/results_2023-09-12T09-58-38.972064.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": 0.4674367304116677, "acc_stderr": 0.035284344124032196, "acc_norm": 0.4714260290393888, "acc_norm_stderr": 0.03526985338617593, "mc1": 0.2631578947368421, "mc1_stderr": 0.015415241740237014, "mc2": 0.3961362396399567, "mc2_stderr": 0.013785031017759436 }, "harness\|arc:challenge\|25": { "acc": 0.4948805460750853, "acc_stderr": 0.014610624890309157, "acc_norm": 0.5332764505119454, "acc_norm_stderr": 0.014578995859605802 }, "harness\|hellaswag\|10": { "acc": 0.5902210714997013, "acc_stderr": 0.004907877144720015, "acc_norm": 0.7871937860983867, "acc_norm_stderr": 0.004084552641903664 }, "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": 0.4740740740740741, "acc_stderr": 0.04313531696750575, "acc_norm": 0.4740740740740741, "acc_norm_stderr": 0.04313531696750575 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.40789473684210525, "acc_stderr": 0.03999309712777471, "acc_norm": 0.40789473684210525, "acc_norm_stderr": 0.03999309712777471 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.4377358490566038, "acc_stderr": 0.030533338430467516, "acc_norm": 0.4377358490566038, "acc_norm_stderr": 0.030533338430467516 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.4583333333333333, "acc_stderr": 0.04166666666666665, "acc_norm": 0.4583333333333333, "acc_norm_stderr": 0.04166666666666665 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.34, "acc_stderr": 0.047609522856952344, "acc_norm": 0.34, "acc_norm_stderr": 0.047609522856952344 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.43352601156069365, "acc_stderr": 0.03778621079092055, "acc_norm": 0.43352601156069365, "acc_norm_stderr": 0.03778621079092055 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.19607843137254902, "acc_stderr": 0.03950581861179964, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.03950581861179964 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.59, "acc_stderr": 0.049431107042371025, "acc_norm": 0.59, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.425531914893617, "acc_stderr": 0.03232146916224469, "acc_norm": 0.425531914893617, "acc_norm_stderr": 0.03232146916224469 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.2982456140350877, "acc_stderr": 0.04303684033537315, "acc_norm": 0.2982456140350877, "acc_norm_stderr": 0.04303684033537315 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.42758620689655175, "acc_stderr": 0.04122737111370331, "acc_norm": 0.42758620689655175, "acc_norm_stderr": 0.04122737111370331 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.2724867724867725, "acc_stderr": 0.022930973071633363, "acc_norm": 0.2724867724867725, "acc_norm_stderr": 0.022930973071633363 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.3253968253968254, "acc_stderr": 0.04190596438871136, "acc_norm": 0.3253968253968254, "acc_norm_stderr": 0.04190596438871136 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.5064516129032258, "acc_stderr": 0.02844163823354051, "acc_norm": 0.5064516129032258, 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"acc_stderr": 0.03508771929824563, "acc_norm": 0.7017543859649122, "acc_norm_stderr": 0.03508771929824563 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.2631578947368421, "mc1_stderr": 0.015415241740237014, "mc2": 0.3961362396399567, "mc2_stderr": 0.013785031017759436 } } ``` ### 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]	[ -0.7047574520111084, -0.884777307510376, 0.2562182545661926, 0.28168007731437683, -0.16055192053318024, 0.008495921269059181, -0.012460931204259396, -0.25354066491127014, 0.5935782194137573, -0.06618952006101608, -0.4532516598701477, -0.6730158925056458, -0.48146507143974304, 0.27711963653564453, -0.08806247264146805, 0.8534687757492065, -0.21420131623744965, -0.19367845356464386, 0.07748246937990189, 0.004735862370580435, -0.23886564373970032, -0.29342225193977356, 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open-llm-leaderboard/details_NoIdeaLand__test-3k-mx	open-llm-leaderboard	2023-09-22T02:21:41Z	260	0	[ "region:us" ]	null	2023-09-22T02:20:37Z	--- pretty_name: Evaluation run of NoIdeaLand/test-3k-mx dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [NoIdeaLand/test-3k-mx](https://huggingface.co/NoIdeaLand/test-3k-mx) 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_NoIdeaLand__test-3k-mx\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-09-22T02:20:18.679270](https://huggingface.co/datasets/open-llm-leaderboard/details_NoIdeaLand__test-3k-mx/blob/main/results_2023-09-22T02-20-18.679270.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\": 0.25937377998421673,\n\ \ \"acc_stderr\": 0.03158826848264918,\n \"acc_norm\": 0.263032034220802,\n\ \ \"acc_norm_stderr\": 0.031588822884227444,\n \"mc1\": 0.23623011015911874,\n\ \ \"mc1_stderr\": 0.014869755015871108,\n \"mc2\": 0.4093188700877857,\n\ \ \"mc2_stderr\": 0.014339231042407396\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.3438566552901024,\n \"acc_stderr\": 0.013880644570156201,\n\ \ \"acc_norm\": 0.38054607508532423,\n \"acc_norm_stderr\": 0.014188277712349822\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.48516231826329415,\n\ \ \"acc_stderr\": 0.004987583858923224,\n \"acc_norm\": 0.6643098984266083,\n\ \ \"acc_norm_stderr\": 0.004712660409846823\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816507,\n \ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816507\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.1925925925925926,\n\ \ \"acc_stderr\": 0.034065420585026505,\n \"acc_norm\": 0.1925925925925926,\n\ \ \"acc_norm_stderr\": 0.034065420585026505\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.18421052631578946,\n \"acc_stderr\": 0.0315469804508223,\n\ \ \"acc_norm\": 0.18421052631578946,\n \"acc_norm_stderr\": 0.0315469804508223\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.34,\n\ \ \"acc_stderr\": 0.04760952285695235,\n \"acc_norm\": 0.34,\n \ \ \"acc_norm_stderr\": 0.04760952285695235\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.2528301886792453,\n \"acc_stderr\": 0.026749899771241235,\n\ \ \"acc_norm\": 0.2528301886792453,\n \"acc_norm_stderr\": 0.026749899771241235\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.2569444444444444,\n\ \ \"acc_stderr\": 0.03653946969442099,\n \"acc_norm\": 0.2569444444444444,\n\ \ \"acc_norm_stderr\": 0.03653946969442099\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816508,\n \ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816508\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.18,\n \"acc_stderr\": 0.03861229196653695,\n \"acc_norm\": 0.18,\n\ \ \"acc_norm_stderr\": 0.03861229196653695\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.21,\n \"acc_stderr\": 0.040936018074033256,\n \ \ \"acc_norm\": 0.21,\n \"acc_norm_stderr\": 0.040936018074033256\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.2138728323699422,\n\ \ \"acc_stderr\": 0.031265112061730445,\n \"acc_norm\": 0.2138728323699422,\n\ \ \"acc_norm_stderr\": 0.031265112061730445\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.20588235294117646,\n \"acc_stderr\": 0.04023382273617746,\n\ \ \"acc_norm\": 0.20588235294117646,\n \"acc_norm_stderr\": 0.04023382273617746\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.26,\n \"acc_stderr\": 0.04408440022768077,\n \"acc_norm\": 0.26,\n\ \ \"acc_norm_stderr\": 0.04408440022768077\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.28936170212765955,\n \"acc_stderr\": 0.029644006577009618,\n\ \ \"acc_norm\": 0.28936170212765955,\n \"acc_norm_stderr\": 0.029644006577009618\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.16666666666666666,\n\ \ \"acc_stderr\": 0.035058596825972656,\n \"acc_norm\": 0.16666666666666666,\n\ \ \"acc_norm_stderr\": 0.035058596825972656\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.2827586206896552,\n \"acc_stderr\": 0.037528339580033376,\n\ \ \"acc_norm\": 0.2827586206896552,\n \"acc_norm_stderr\": 0.037528339580033376\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.21428571428571427,\n \"acc_stderr\": 0.02113285918275445,\n \"\ acc_norm\": 0.21428571428571427,\n \"acc_norm_stderr\": 0.02113285918275445\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.1984126984126984,\n\ \ \"acc_stderr\": 0.03567016675276863,\n \"acc_norm\": 0.1984126984126984,\n\ \ \"acc_norm_stderr\": 0.03567016675276863\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.042295258468165065,\n \ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.042295258468165065\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.2032258064516129,\n \"acc_stderr\": 0.022891687984554952,\n \"\ acc_norm\": 0.2032258064516129,\n \"acc_norm_stderr\": 0.022891687984554952\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.21182266009852216,\n \"acc_stderr\": 0.028748983689941065,\n \"\ acc_norm\": 0.21182266009852216,\n \"acc_norm_stderr\": 0.028748983689941065\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768078,\n \"acc_norm\"\ : 0.26,\n \"acc_norm_stderr\": 0.04408440022768078\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.2606060606060606,\n \"acc_stderr\": 0.03427743175816524,\n\ \ \"acc_norm\": 0.2606060606060606,\n \"acc_norm_stderr\": 0.03427743175816524\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.18686868686868688,\n \"acc_stderr\": 0.027772533334218977,\n \"\ acc_norm\": 0.18686868686868688,\n \"acc_norm_stderr\": 0.027772533334218977\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.26424870466321243,\n \"acc_stderr\": 0.031821550509166484,\n\ \ \"acc_norm\": 0.26424870466321243,\n \"acc_norm_stderr\": 0.031821550509166484\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.28717948717948716,\n \"acc_stderr\": 0.022939925418530616,\n\ \ \"acc_norm\": 0.28717948717948716,\n \"acc_norm_stderr\": 0.022939925418530616\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.2740740740740741,\n \"acc_stderr\": 0.027195934804085622,\n \ \ \"acc_norm\": 0.2740740740740741,\n \"acc_norm_stderr\": 0.027195934804085622\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.226890756302521,\n \"acc_stderr\": 0.02720537153827947,\n \ \ \"acc_norm\": 0.226890756302521,\n \"acc_norm_stderr\": 0.02720537153827947\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.24503311258278146,\n \"acc_stderr\": 0.035118075718047245,\n \"\ acc_norm\": 0.24503311258278146,\n \"acc_norm_stderr\": 0.035118075718047245\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.1981651376146789,\n \"acc_stderr\": 0.017090573804217885,\n \"\ acc_norm\": 0.1981651376146789,\n \"acc_norm_stderr\": 0.017090573804217885\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.1712962962962963,\n \"acc_stderr\": 0.02569534164382467,\n \"\ acc_norm\": 0.1712962962962963,\n \"acc_norm_stderr\": 0.02569534164382467\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.2549019607843137,\n \"acc_stderr\": 0.030587591351604246,\n \"\ acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.030587591351604246\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.2911392405063291,\n \"acc_stderr\": 0.02957160106575337,\n \ \ \"acc_norm\": 0.2911392405063291,\n \"acc_norm_stderr\": 0.02957160106575337\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.34080717488789236,\n\ \ \"acc_stderr\": 0.031811497470553604,\n \"acc_norm\": 0.34080717488789236,\n\ \ \"acc_norm_stderr\": 0.031811497470553604\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.2824427480916031,\n \"acc_stderr\": 0.03948406125768361,\n\ \ \"acc_norm\": 0.2824427480916031,\n \"acc_norm_stderr\": 0.03948406125768361\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.2727272727272727,\n \"acc_stderr\": 0.04065578140908705,\n \"\ acc_norm\": 0.2727272727272727,\n \"acc_norm_stderr\": 0.04065578140908705\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.2962962962962963,\n\ \ \"acc_stderr\": 0.044143436668549335,\n \"acc_norm\": 0.2962962962962963,\n\ \ \"acc_norm_stderr\": 0.044143436668549335\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.26993865030674846,\n \"acc_stderr\": 0.03487825168497892,\n\ \ \"acc_norm\": 0.26993865030674846,\n \"acc_norm_stderr\": 0.03487825168497892\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.35714285714285715,\n\ \ \"acc_stderr\": 0.04547960999764376,\n \"acc_norm\": 0.35714285714285715,\n\ \ \"acc_norm_stderr\": 0.04547960999764376\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.18446601941747573,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.18446601941747573,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.3504273504273504,\n\ \ \"acc_stderr\": 0.03125610824421881,\n \"acc_norm\": 0.3504273504273504,\n\ \ \"acc_norm_stderr\": 0.03125610824421881\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.26053639846743293,\n\ \ \"acc_stderr\": 0.01569600856380709,\n \"acc_norm\": 0.26053639846743293,\n\ \ \"acc_norm_stderr\": 0.01569600856380709\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.25722543352601157,\n \"acc_stderr\": 0.023532925431044273,\n\ \ \"acc_norm\": 0.25722543352601157,\n \"acc_norm_stderr\": 0.023532925431044273\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.24134078212290502,\n\ \ \"acc_stderr\": 0.014310999547961455,\n \"acc_norm\": 0.24134078212290502,\n\ \ \"acc_norm_stderr\": 0.014310999547961455\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.2875816993464052,\n \"acc_stderr\": 0.02591780611714716,\n\ \ \"acc_norm\": 0.2875816993464052,\n \"acc_norm_stderr\": 0.02591780611714716\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.2282958199356913,\n\ \ \"acc_stderr\": 0.023839303311398222,\n \"acc_norm\": 0.2282958199356913,\n\ \ \"acc_norm_stderr\": 0.023839303311398222\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.2345679012345679,\n \"acc_stderr\": 0.023576881744005716,\n\ \ \"acc_norm\": 0.2345679012345679,\n \"acc_norm_stderr\": 0.023576881744005716\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.25177304964539005,\n \"acc_stderr\": 0.025892151156709405,\n \ \ \"acc_norm\": 0.25177304964539005,\n \"acc_norm_stderr\": 0.025892151156709405\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.2770534550195567,\n\ \ \"acc_stderr\": 0.011430462443719676,\n \"acc_norm\": 0.2770534550195567,\n\ \ \"acc_norm_stderr\": 0.011430462443719676\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.19852941176470587,\n \"acc_stderr\": 0.024231013370541104,\n\ \ \"acc_norm\": 0.19852941176470587,\n \"acc_norm_stderr\": 0.024231013370541104\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.2549019607843137,\n \"acc_stderr\": 0.017630827375148383,\n \ \ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.017630827375148383\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.3,\n\ \ \"acc_stderr\": 0.04389311454644287,\n \"acc_norm\": 0.3,\n \ \ \"acc_norm_stderr\": 0.04389311454644287\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.2530612244897959,\n \"acc_stderr\": 0.027833023871399677,\n\ \ \"acc_norm\": 0.2530612244897959,\n \"acc_norm_stderr\": 0.027833023871399677\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.23880597014925373,\n\ \ \"acc_stderr\": 0.030147775935409217,\n \"acc_norm\": 0.23880597014925373,\n\ \ \"acc_norm_stderr\": 0.030147775935409217\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.30120481927710846,\n\ \ \"acc_stderr\": 0.03571609230053481,\n \"acc_norm\": 0.30120481927710846,\n\ \ \"acc_norm_stderr\": 0.03571609230053481\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.3216374269005848,\n \"acc_stderr\": 0.03582529442573122,\n\ \ \"acc_norm\": 0.3216374269005848,\n \"acc_norm_stderr\": 0.03582529442573122\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.23623011015911874,\n\ \ \"mc1_stderr\": 0.014869755015871108,\n \"mc2\": 0.4093188700877857,\n\ \ \"mc2_stderr\": 0.014339231042407396\n }\n}\n```" repo_url: https://huggingface.co/NoIdeaLand/test-3k-mx leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|arc:challenge\|25_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hellaswag\|10_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-22T02-20-18.679270.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-22T02-20-18.679270.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_22T02_20_18.679270 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-22T02-20-18.679270.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-22T02-20-18.679270.parquet' - config_name: results data_files: - split: 2023_09_22T02_20_18.679270 path: - results_2023-09-22T02-20-18.679270.parquet - split: latest path: - results_2023-09-22T02-20-18.679270.parquet --- # Dataset Card for Evaluation run of NoIdeaLand/test-3k-mx ## Dataset Description - Homepage: - Repository: https://huggingface.co/NoIdeaLand/test-3k-mx - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: [email protected] ### Dataset Summary Dataset automatically created during the evaluation run of model [NoIdeaLand/test-3k-mx](https://huggingface.co/NoIdeaLand/test-3k-mx) 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_NoIdeaLand__test-3k-mx", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-09-22T02:20:18.679270](https://huggingface.co/datasets/open-llm-leaderboard/details_NoIdeaLand__test-3k-mx/blob/main/results_2023-09-22T02-20-18.679270.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": 0.25937377998421673, "acc_stderr": 0.03158826848264918, "acc_norm": 0.263032034220802, "acc_norm_stderr": 0.031588822884227444, "mc1": 0.23623011015911874, "mc1_stderr": 0.014869755015871108, "mc2": 0.4093188700877857, "mc2_stderr": 0.014339231042407396 }, "harness\|arc:challenge\|25": { "acc": 0.3438566552901024, "acc_stderr": 0.013880644570156201, "acc_norm": 0.38054607508532423, "acc_norm_stderr": 0.014188277712349822 }, "harness\|hellaswag\|10": { "acc": 0.48516231826329415, "acc_stderr": 0.004987583858923224, "acc_norm": 0.6643098984266083, "acc_norm_stderr": 0.004712660409846823 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.23, "acc_stderr": 0.04229525846816507, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816507 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.1925925925925926, "acc_stderr": 0.034065420585026505, "acc_norm": 0.1925925925925926, "acc_norm_stderr": 0.034065420585026505 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.18421052631578946, "acc_stderr": 0.0315469804508223, "acc_norm": 0.18421052631578946, "acc_norm_stderr": 0.0315469804508223 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.2528301886792453, "acc_stderr": 0.026749899771241235, "acc_norm": 0.2528301886792453, "acc_norm_stderr": 0.026749899771241235 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.23, "acc_stderr": 0.04229525846816508, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816508 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.18, "acc_stderr": 0.03861229196653695, "acc_norm": 0.18, "acc_norm_stderr": 0.03861229196653695 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.2138728323699422, "acc_stderr": 0.031265112061730445, "acc_norm": 0.2138728323699422, "acc_norm_stderr": 0.031265112061730445 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.20588235294117646, "acc_stderr": 0.04023382273617746, "acc_norm": 0.20588235294117646, "acc_norm_stderr": 0.04023382273617746 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.26, "acc_stderr": 0.04408440022768077, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768077 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.28936170212765955, "acc_stderr": 0.029644006577009618, "acc_norm": 0.28936170212765955, "acc_norm_stderr": 0.029644006577009618 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.16666666666666666, "acc_stderr": 0.035058596825972656, "acc_norm": 0.16666666666666666, "acc_norm_stderr": 0.035058596825972656 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.2827586206896552, "acc_stderr": 0.037528339580033376, "acc_norm": 0.2827586206896552, "acc_norm_stderr": 0.037528339580033376 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.21428571428571427, "acc_stderr": 0.02113285918275445, "acc_norm": 0.21428571428571427, "acc_norm_stderr": 0.02113285918275445 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.1984126984126984, "acc_stderr": 0.03567016675276863, "acc_norm": 0.1984126984126984, "acc_norm_stderr": 0.03567016675276863 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.23, "acc_stderr": 0.042295258468165065, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165065 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.2032258064516129, "acc_stderr": 0.022891687984554952, "acc_norm": 0.2032258064516129, "acc_norm_stderr": 0.022891687984554952 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.21182266009852216, "acc_stderr": 0.028748983689941065, "acc_norm": 0.21182266009852216, "acc_norm_stderr": 0.028748983689941065 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.26, "acc_stderr": 0.04408440022768078, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768078 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.2606060606060606, "acc_stderr": 0.03427743175816524, "acc_norm": 0.2606060606060606, "acc_norm_stderr": 0.03427743175816524 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.18686868686868688, "acc_stderr": 0.027772533334218977, "acc_norm": 0.18686868686868688, "acc_norm_stderr": 0.027772533334218977 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.26424870466321243, "acc_stderr": 0.031821550509166484, "acc_norm": 0.26424870466321243, "acc_norm_stderr": 0.031821550509166484 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.28717948717948716, "acc_stderr": 0.022939925418530616, "acc_norm": 0.28717948717948716, "acc_norm_stderr": 0.022939925418530616 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.2740740740740741, "acc_stderr": 0.027195934804085622, "acc_norm": 0.2740740740740741, "acc_norm_stderr": 0.027195934804085622 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.226890756302521, "acc_stderr": 0.02720537153827947, "acc_norm": 0.226890756302521, "acc_norm_stderr": 0.02720537153827947 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.24503311258278146, "acc_stderr": 0.035118075718047245, "acc_norm": 0.24503311258278146, "acc_norm_stderr": 0.035118075718047245 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.1981651376146789, "acc_stderr": 0.017090573804217885, "acc_norm": 0.1981651376146789, "acc_norm_stderr": 0.017090573804217885 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.1712962962962963, "acc_stderr": 0.02569534164382467, "acc_norm": 0.1712962962962963, "acc_norm_stderr": 0.02569534164382467 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.2549019607843137, "acc_stderr": 0.030587591351604246, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.030587591351604246 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.2911392405063291, "acc_stderr": 0.02957160106575337, "acc_norm": 0.2911392405063291, "acc_norm_stderr": 0.02957160106575337 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.34080717488789236, "acc_stderr": 0.031811497470553604, "acc_norm": 0.34080717488789236, "acc_norm_stderr": 0.031811497470553604 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.2824427480916031, "acc_stderr": 0.03948406125768361, "acc_norm": 0.2824427480916031, "acc_norm_stderr": 0.03948406125768361 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.2727272727272727, "acc_stderr": 0.04065578140908705, "acc_norm": 0.2727272727272727, "acc_norm_stderr": 0.04065578140908705 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.2962962962962963, "acc_stderr": 0.044143436668549335, "acc_norm": 0.2962962962962963, "acc_norm_stderr": 0.044143436668549335 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.26993865030674846, "acc_stderr": 0.03487825168497892, "acc_norm": 0.26993865030674846, "acc_norm_stderr": 0.03487825168497892 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.35714285714285715, "acc_stderr": 0.04547960999764376, "acc_norm": 0.35714285714285715, "acc_norm_stderr": 0.04547960999764376 }, "harness\|hendrycksTest-management\|5": { "acc": 0.18446601941747573, "acc_stderr": 0.03840423627288276, "acc_norm": 0.18446601941747573, "acc_norm_stderr": 0.03840423627288276 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.3504273504273504, "acc_stderr": 0.03125610824421881, "acc_norm": 0.3504273504273504, "acc_norm_stderr": 0.03125610824421881 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.26053639846743293, "acc_stderr": 0.01569600856380709, "acc_norm": 0.26053639846743293, "acc_norm_stderr": 0.01569600856380709 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.25722543352601157, "acc_stderr": 0.023532925431044273, "acc_norm": 0.25722543352601157, "acc_norm_stderr": 0.023532925431044273 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.24134078212290502, "acc_stderr": 0.014310999547961455, "acc_norm": 0.24134078212290502, "acc_norm_stderr": 0.014310999547961455 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.2875816993464052, "acc_stderr": 0.02591780611714716, "acc_norm": 0.2875816993464052, "acc_norm_stderr": 0.02591780611714716 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.2282958199356913, "acc_stderr": 0.023839303311398222, "acc_norm": 0.2282958199356913, "acc_norm_stderr": 0.023839303311398222 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.2345679012345679, "acc_stderr": 0.023576881744005716, "acc_norm": 0.2345679012345679, "acc_norm_stderr": 0.023576881744005716 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.25177304964539005, "acc_stderr": 0.025892151156709405, "acc_norm": 0.25177304964539005, "acc_norm_stderr": 0.025892151156709405 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.2770534550195567, "acc_stderr": 0.011430462443719676, "acc_norm": 0.2770534550195567, "acc_norm_stderr": 0.011430462443719676 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.19852941176470587, "acc_stderr": 0.024231013370541104, "acc_norm": 0.19852941176470587, "acc_norm_stderr": 0.024231013370541104 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.2549019607843137, "acc_stderr": 0.017630827375148383, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.017630827375148383 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.3, "acc_stderr": 0.04389311454644287, "acc_norm": 0.3, "acc_norm_stderr": 0.04389311454644287 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.2530612244897959, "acc_stderr": 0.027833023871399677, "acc_norm": 0.2530612244897959, "acc_norm_stderr": 0.027833023871399677 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.23880597014925373, "acc_stderr": 0.030147775935409217, "acc_norm": 0.23880597014925373, "acc_norm_stderr": 0.030147775935409217 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.30120481927710846, "acc_stderr": 0.03571609230053481, "acc_norm": 0.30120481927710846, "acc_norm_stderr": 0.03571609230053481 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.3216374269005848, "acc_stderr": 0.03582529442573122, "acc_norm": 0.3216374269005848, "acc_norm_stderr": 0.03582529442573122 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.23623011015911874, "mc1_stderr": 0.014869755015871108, "mc2": 0.4093188700877857, "mc2_stderr": 0.014339231042407396 } } ``` ### 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]	[ -0.7265424728393555, -0.8594837188720703, 0.3057481348514557, 0.18139998614788055, -0.1349809765815735, -0.06768235564231873, 0.06925375759601593, -0.21007995307445526, 0.5810554623603821, -0.020119981840252876, -0.5170443654060364, -0.7322251796722412, -0.42958369851112366, 0.2728191912174225, -0.023911235854029655, 0.8554604053497314, -0.19420364499092102, -0.10664495080709457, 0.0977863073348999, -0.06059153378009796, -0.24143466353416443, -0.31428998708724976, -0.4573812186717987, 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open-llm-leaderboard/details_lizpreciatior__lzlv_70b_fp16_hf	open-llm-leaderboard	2023-10-24T11:08:31Z	260	0	[ "region:us" ]	null	2023-10-10T17:25:55Z	--- pretty_name: Evaluation run of lizpreciatior/lzlv_70b_fp16_hf dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [lizpreciatior/lzlv_70b_fp16_hf](https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_lizpreciatior__lzlv_70b_fp16_hf\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-24T11:08:18.401041](https://huggingface.co/datasets/open-llm-leaderboard/details_lizpreciatior__lzlv_70b_fp16_hf/blob/main/results_2023-10-24T11-08-18.401041.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.040058724832214766,\n\ \ \"em_stderr\": 0.002008216561907643,\n \"f1\": 0.10676174496644267,\n\ \ \"f1_stderr\": 0.002328625422990624,\n \"acc\": 0.5717896950225979,\n\ \ \"acc_stderr\": 0.011591305235224383\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.040058724832214766,\n \"em_stderr\": 0.002008216561907643,\n\ \ \"f1\": 0.10676174496644267,\n \"f1_stderr\": 0.002328625422990624\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.30932524639878695,\n \ \ \"acc_stderr\": 0.012731710925078124\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8342541436464088,\n \"acc_stderr\": 0.010450899545370642\n\ \ }\n}\n```" repo_url: https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|arc:challenge\|25_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-10T17-25-31.421123.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_24T11_08_18.401041 path: - '/details_harness\|drop\|3_2023-10-24T11-08-18.401041.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-24T11-08-18.401041.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_24T11_08_18.401041 path: - '/details_harness\|gsm8k\|5_2023-10-24T11-08-18.401041.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-24T11-08-18.401041.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hellaswag\|10_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T17-25-31.421123.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T17-25-31.421123.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_10T17_25_31.421123 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-10T17-25-31.421123.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-10T17-25-31.421123.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_24T11_08_18.401041 path: - '/details_harness\|winogrande\|5_2023-10-24T11-08-18.401041.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-24T11-08-18.401041.parquet' - config_name: results data_files: - split: 2023_10_10T17_25_31.421123 path: - results_2023-10-10T17-25-31.421123.parquet - split: 2023_10_24T11_08_18.401041 path: - results_2023-10-24T11-08-18.401041.parquet - split: latest path: - results_2023-10-24T11-08-18.401041.parquet --- # Dataset Card for Evaluation run of lizpreciatior/lzlv_70b_fp16_hf ## Dataset Description - Homepage: - Repository: https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: [email protected] ### Dataset Summary Dataset automatically created during the evaluation run of model [lizpreciatior/lzlv_70b_fp16_hf](https://huggingface.co/lizpreciatior/lzlv_70b_fp16_hf) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_lizpreciatior__lzlv_70b_fp16_hf", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-24T11:08:18.401041](https://huggingface.co/datasets/open-llm-leaderboard/details_lizpreciatior__lzlv_70b_fp16_hf/blob/main/results_2023-10-24T11-08-18.401041.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.040058724832214766, "em_stderr": 0.002008216561907643, "f1": 0.10676174496644267, "f1_stderr": 0.002328625422990624, "acc": 0.5717896950225979, "acc_stderr": 0.011591305235224383 }, "harness\|drop\|3": { "em": 0.040058724832214766, "em_stderr": 0.002008216561907643, "f1": 0.10676174496644267, "f1_stderr": 0.002328625422990624 }, "harness\|gsm8k\|5": { "acc": 0.30932524639878695, "acc_stderr": 0.012731710925078124 }, "harness\|winogrande\|5": { "acc": 0.8342541436464088, "acc_stderr": 0.010450899545370642 } } ``` ### 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]	[ -0.37645986676216125, -0.6556876301765442, 0.21099936962127686, 0.1963857114315033, -0.11750560998916626, 0.010846157558262348, -0.3794601559638977, -0.19159318506717682, 0.40839946269989014, 0.5999979376792908, -0.7591562271118164, -0.909813642501831, -0.6585721373558044, 0.1636265367269516, -0.1679556667804718, 1.1637547016143799, -0.2839823067188263, -0.18834927678108215, 0.08281256258487701, -0.24744676053524017, -0.2602407932281494, -0.3697724938392639, -0.5212618708610535, 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result-kand2-sdxl-wuerst-karlo/80da83b2	result-kand2-sdxl-wuerst-karlo	2023-11-13T20:26:14Z	260	0	[ "region:us" ]	null	2023-11-13T20:26:14Z	--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 219 num_examples: 10 download_size: 1431 dataset_size: 219 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "80da83b2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.6404842734336853, -0.29702118039131165, 0.31821444630622864, 0.28935495018959045, -0.1624012589454651, -0.0890471413731575, 0.5382055640220642, -0.27366867661476135, 0.7918535470962524, 0.6021705269813538, -0.6762313842773438, -0.6177432537078857, -0.6201752424240112, -0.2089303433895111, -0.24598141014575958, 1.3355499505996704, -0.11892037838697433, 0.12107806652784348, -0.32314983010292053, -0.1992483139038086, -0.510237455368042, 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result-kand2-sdxl-wuerst-karlo/bd8b4914	result-kand2-sdxl-wuerst-karlo	2023-11-13T20:28:27Z	260	0	[ "region:us" ]	null	2023-11-13T20:28:26Z	--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 249 num_examples: 10 download_size: 1433 dataset_size: 249 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "bd8b4914" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.6570797562599182, -0.14646956324577332, 0.2342577427625656, 0.4544009268283844, -0.21026507019996643, -0.05425726994872093, 0.369720995426178, -0.18358877301216125, 0.8218235969543457, 0.5304743647575378, -0.8097732067108154, -0.6374505758285522, -0.5864256620407104, -0.07889818400144577, -0.13870055973529816, 1.1661635637283325, 0.13283976912498474, 0.04529602453112602, -0.3789813816547394, -0.10821766406297684, -0.507828414440155, 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result-kand2-sdxl-wuerst-karlo/60b7339d	result-kand2-sdxl-wuerst-karlo	2023-11-13T20:35:22Z	260	0	[ "region:us" ]	null	2023-11-13T20:35:21Z	--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 231 num_examples: 10 download_size: 1418 dataset_size: 231 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "60b7339d" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.6976264715194702, -0.10787332057952881, 0.1227121353149414, 0.3483700752258301, -0.2783481478691101, -0.03529628366231918, 0.39604055881500244, -0.20743384957313538, 0.8317842483520508, 0.548591673374176, -0.8517003655433655, -0.7309324741363525, -0.5025426149368286, -0.2384997010231018, -0.2378890961408615, 1.1894454956054688, 0.09793255478143692, -0.011345434933900833, -0.38517555594444275, -0.005388992372900248, 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result-kand2-sdxl-wuerst-karlo/7fb2a617	result-kand2-sdxl-wuerst-karlo	2023-11-13T20:35:25Z	260	0	[ "region:us" ]	null	2023-11-13T20:35:24Z	--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 231 num_examples: 10 download_size: 1418 dataset_size: 231 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "7fb2a617" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.6864246129989624, -0.19150446355342865, 0.1794387698173523, 0.33274045586586, -0.29854825139045715, -0.1650797575712204, 0.4623018503189087, -0.3997093439102173, 0.7120243310928345, 0.57472163438797, -0.7231788039207458, -0.5961652994155884, -0.6234011650085449, -0.12008631229400635, -0.23258720338344574, 1.104412317276001, 0.2566257417201996, 0.09998684376478195, -0.31064170598983765, -0.18532192707061768, -0.610666811466217, 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AryanLala/autonlp-data-Scientific_Title_Generator	AryanLala	2021-11-20T18:00:56Z	259	1	[ "region:us" ]	[ "conditional-text-generation" ]	2022-03-02T23:29:22Z	--- task_categories: - conditional-text-generation --- # AutoNLP Dataset for project: Scientific_Title_Generator ## Table of content - [Dataset Description](#dataset-description) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) ## Dataset Descritpion This dataset has been automatically processed by AutoNLP for project Scientific_Title_Generator. ### Languages The BCP-47 code for the dataset's language is unk. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "target": "Unification of Fusion Theories, Rules, Filters, Image Fusion and Target\n Tracking Methods (UFT)", "text": " The author has pledged in various papers, conference or seminar\npresentations, and scientific grant applications (between 2004-2015) for the\nunification of fusion theories, combinations of fusion rules, image fusion\nprocedures, filter algorithms, and target tracking methods for more accurate\napplications to our real world problems - since neither fusion theory nor\nfusion rule fully satisfy all needed applications. For each particular\napplication, one selects the most appropriate fusion space and fusion model,\nthen the fusion rules, and the algorithms of implementation. He has worked in\nthe Unification of the Fusion Theories (UFT), which looks like a cooking\nrecipe, better one could say like a logical chart for a computer programmer,\nbut one does not see another method to comprise/unify all things. The\nunification scenario presented herein, which is now in an incipient form,\nshould periodically be updated incorporating new discoveries from the fusion\nand engineering research.\n" }, { "target": "Investigation of Variances in Belief Networks", "text": " The belief network is a well-known graphical structure for representing\nindependences in a joint probability distribution. The methods, which perform\nprobabilistic inference in belief networks, often treat the conditional\nprobabilities which are stored in the network as certain values. However, if\none takes either a subjectivistic or a limiting frequency approach to\nprobability, one can never be certain of probability values. An algorithm\nshould not only be capable of reporting the probabilities of the alternatives\nof remaining nodes when other nodes are instantiated; it should also be capable\nof reporting the uncertainty in these probabilities relative to the uncertainty\nin the probabilities which are stored in the network. In this paper a method\nfor determining the variances in inferred probabilities is obtained under the\nassumption that a posterior distribution on the uncertainty variables can be\napproximated by the prior distribution. It is shown that this assumption is\nplausible if their is a reasonable amount of confidence in the probabilities\nwhich are stored in the network. Furthermore in this paper, a surprising upper\nbound for the prior variances in the probabilities of the alternatives of all\nnodes is obtained in the case where the probability distributions of the\nprobabilities of the alternatives are beta distributions. It is shown that the\nprior variance in the probability at an alternative of a node is bounded above\nby the largest variance in an element of the conditional probability\ndistribution for that node.\n" } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "target": "Value(dtype='string', id=None)", "text": "Value(dtype='string', id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. 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huggingartists/6ix9ine	huggingartists	2022-10-25T09:22:13Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/6ix9ine" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.350166 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/b2b164a7c6c02dd0843ad597df5dbf4b.1000x1000x1.png')"> </div> </div> <a href="https://huggingface.co/huggingartists/6ix9ine"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">6ix9ine</div> <a href="https://genius.com/artists/6ix9ine"> <div style="text-align: center; font-size: 14px;">@6ix9ine</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/6ix9ine). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/6ix9ine") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|173\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/6ix9ine") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/aaron-watson	huggingartists	2022-10-25T09:22:20Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/aaron-watson" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.266584 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/894021d09a748eef8c6d63ad898b814b.650x430x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/aaron-watson"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Aaron Watson</div> <a href="https://genius.com/artists/aaron-watson"> <div style="text-align: center; font-size: 14px;">@aaron-watson</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/aaron-watson). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/aaron-watson") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|181\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/aaron-watson") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/abba	huggingartists	2022-10-25T09:22:26Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/abba" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.309428 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/2fa03267661cbc8112b4ef31685e2721.220x220x1.png')"> </div> </div> <a href="https://huggingface.co/huggingartists/abba"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">ABBA</div> <a href="https://genius.com/artists/abba"> <div style="text-align: center; font-size: 14px;">@abba</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/abba). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/abba") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|202\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/abba") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/adele	huggingartists	2022-10-25T09:22:32Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/adele" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.304292 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/45ccf22bba4c1f80989e645c2fd4ec44.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/adele"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Adele</div> <a href="https://genius.com/artists/adele"> <div style="text-align: center; font-size: 14px;">@adele</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/adele). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/adele") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|203\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/adele") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/aikko	huggingartists	2022-10-25T09:22:45Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/aikko" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 1.029888 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/a1a40316d1405fa83df2a21923d64168.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/aikko"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">⁣aikko</div> <a href="https://genius.com/artists/aikko"> <div style="text-align: center; font-size: 14px;">@aikko</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/aikko). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/aikko") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|305\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/aikko") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/ajr	huggingartists	2022-10-25T09:22:58Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/ajr" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.216409 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/84cbe6ced3b5398a810e82a9b65cff26.1000x1000x1.png')"> </div> </div> <a href="https://huggingface.co/huggingartists/ajr"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">AJR</div> <a href="https://genius.com/artists/ajr"> <div style="text-align: center; font-size: 14px;">@ajr</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/ajr). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/ajr") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|142\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/ajr") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/arash	huggingartists	2022-10-25T09:23:18Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/arash" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.154835 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/de78420433126e9e426443d10bf22edf.600x600x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/arash"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Arash</div> <a href="https://genius.com/artists/arash"> <div style="text-align: center; font-size: 14px;">@arash</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/arash). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/arash") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|105\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/arash") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/baklan	huggingartists	2022-10-25T09:24:22Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/baklan" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.034685 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/7cfde2abc36913387855f84724ec55d0.640x640x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/baklan"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">BAKLAN</div> <a href="https://genius.com/artists/baklan"> <div style="text-align: center; font-size: 14px;">@baklan</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/baklan). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/baklan") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|3\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/baklan") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/bladee	huggingartists	2022-10-25T09:25:00Z	259	1	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/bladee" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.428949 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/1abf6ff09c7c4209c458e5937b088aba.640x640x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/bladee"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Bladee</div> <a href="https://genius.com/artists/bladee"> <div style="text-align: center; font-size: 14px;">@bladee</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/bladee). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/bladee") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|318\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/bladee") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/bones	huggingartists	2022-10-25T09:25:14Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/bones" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 1.235927 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/564dc935d7c601860b155b359d8ddf9d.1000x1000x1.png')"> </div> </div> <a href="https://huggingface.co/huggingartists/bones"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">BONES</div> <a href="https://genius.com/artists/bones"> <div style="text-align: center; font-size: 14px;">@bones</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/bones). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/bones") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|1156\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/bones") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/booker	huggingartists	2022-10-25T09:25:20Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/booker" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.782002 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/fb0d7cebfd97c76d99f1015b6ddc0e55.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/booker"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Booker</div> <a href="https://genius.com/artists/booker"> <div style="text-align: center; font-size: 14px;">@booker</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/booker). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/booker") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|196\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/booker") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/boris-grebenshikov	huggingartists	2022-10-25T09:25:26Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/boris-grebenshikov" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.727596 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/491c2f003f52c9837809b86faef7b764.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/boris-grebenshikov"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Борис Гребенщиков (Boris Grebenshikov)</div> <a href="https://genius.com/artists/boris-grebenshikov"> <div style="text-align: center; font-size: 14px;">@boris-grebenshikov</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/boris-grebenshikov). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/boris-grebenshikov") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|461\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/boris-grebenshikov") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/braii	huggingartists	2022-10-25T09:25:32Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/braii" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.042356 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/d8719c6068c83cf3eeea5d32b4a57d97.750x750x1.png')"> </div> </div> <a href="https://huggingface.co/huggingartists/braii"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Braii</div> <a href="https://genius.com/artists/braii"> <div style="text-align: center; font-size: 14px;">@braii</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/braii). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/braii") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|15\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/braii") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/bushido-zho	huggingartists	2022-10-25T09:26:05Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/bushido-zho" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.195456 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/6e5b165de8561df37790229c26b25692.959x959x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/bushido-zho"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">BUSHIDO ZHO</div> <a href="https://genius.com/artists/bushido-zho"> <div style="text-align: center; font-size: 14px;">@bushido-zho</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/bushido-zho). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/bushido-zho") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|91\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/bushido-zho") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/cardi-b	huggingartists	2022-10-25T09:26:12Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/cardi-b" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.485384 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/5a60c41c5543b9286bc6d645603c8df8.568x568x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/cardi-b"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Cardi B</div> <a href="https://genius.com/artists/cardi-b"> <div style="text-align: center; font-size: 14px;">@cardi-b</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/cardi-b). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/cardi-b") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|223\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/cardi-b") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/chief-keef	huggingartists	2022-10-25T09:26:33Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/chief-keef" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 2.64925 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/b1b5a054c30c329a209daef471c5fff2.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/chief-keef"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Chief Keef</div> <a href="https://genius.com/artists/chief-keef"> <div style="text-align: center; font-size: 14px;">@chief-keef</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/chief-keef). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/chief-keef") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|1441\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/chief-keef") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/cocomelon	huggingartists	2022-10-25T09:26:39Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/cocomelon" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.084755 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/a6115c556163f271124bacf8a07db45d.499x499x1.png')"> </div> </div> <a href="https://huggingface.co/huggingartists/cocomelon"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Cocomelon</div> <a href="https://genius.com/artists/cocomelon"> <div style="text-align: center; font-size: 14px;">@cocomelon</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/cocomelon). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/cocomelon") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|53\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/cocomelon") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/dababy	huggingartists	2022-10-25T09:27:00Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/dababy" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 1.003363 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/b68b0e6ba289b80529dc0194cdb7d00d.639x640x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/dababy"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">DaBaby</div> <a href="https://genius.com/artists/dababy"> <div style="text-align: center; font-size: 14px;">@dababy</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/dababy). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/dababy") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|410\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/dababy") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/david-bowie	huggingartists	2022-10-25T09:27:08Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/david-bowie" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 1.590408 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/2eea1354199a1914d947041259d25dc4.678x678x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/david-bowie"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">David Bowie</div> <a href="https://genius.com/artists/david-bowie"> <div style="text-align: center; font-size: 14px;">@david-bowie</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/david-bowie). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/david-bowie") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|1302\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/david-bowie") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/death-grips	huggingartists	2022-10-25T09:27:22Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/death-grips" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.297416 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/de4ca387303c4b46007ca1072c2e57d0.600x600x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/death-grips"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Death Grips</div> <a href="https://genius.com/artists/death-grips"> <div style="text-align: center; font-size: 14px;">@death-grips</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/death-grips). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/death-grips") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|153\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/death-grips") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/deep-purple	huggingartists	2022-10-25T09:27:29Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/deep-purple" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.365903 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/91b25ad26e90b71d04d42ccec0a46347.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/deep-purple"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Deep Purple</div> <a href="https://genius.com/artists/deep-purple"> <div style="text-align: center; font-size: 14px;">@deep-purple</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/deep-purple). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/deep-purple") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|407\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/deep-purple") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/drake	huggingartists	2022-10-25T09:28:02Z	259	3	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/drake" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 6.063474 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/631b206379b60df5e1da90e84d35fdbe.1000x1000x1.png')"> </div> </div> <a href="https://huggingface.co/huggingartists/drake"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Drake</div> <a href="https://genius.com/artists/drake"> <div style="text-align: center; font-size: 14px;">@drake</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/drake). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/drake") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|1298\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/drake") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2022 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/kasta	huggingartists	2022-10-25T09:32:51Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/kasta" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.992175 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/4fb42a447843eee46b0b77439ecd8fd2.800x800x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/kasta"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Каста (Kasta)</div> <a href="https://genius.com/artists/kasta"> <div style="text-align: center; font-size: 14px;">@kasta</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/kasta). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/kasta") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|235\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/kasta") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/kehlani	huggingartists	2022-10-25T09:33:05Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/kehlani" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.497195 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/a77a2cb56da25c8f9e895bc1df12252b.750x750x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/kehlani"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Kehlani</div> <a href="https://genius.com/artists/kehlani"> <div style="text-align: center; font-size: 14px;">@kehlani</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/kehlani). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/kehlani") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|256\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/kehlani") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/kishlak	huggingartists	2022-10-25T09:33:46Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/kishlak" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.12921 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/c0c7e74ec794ad44eb0957d6afdd383d.815x815x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/kishlak"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Кишлак (Kishlak)</div> <a href="https://genius.com/artists/kishlak"> <div style="text-align: center; font-size: 14px;">@kishlak</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/kishlak). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/kishlak") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|43\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/kishlak") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/kurt-cobain	huggingartists	2022-10-25T09:34:22Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/kurt-cobain" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.567153 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/8c394f5b79ddaa5349e8a4cc10c1ab48.400x400x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/kurt-cobain"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Kurt Cobain</div> <a href="https://genius.com/artists/kurt-cobain"> <div style="text-align: center; font-size: 14px;">@kurt-cobain</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/kurt-cobain). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/kurt-cobain") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|540\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/kurt-cobain") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/lazy-jay	huggingartists	2022-10-25T09:34:35Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/lazy-jay" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.039845 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/c3045337575e2ce646bbc54369de4143.450x427x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/lazy-jay"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Lazy Jay</div> <a href="https://genius.com/artists/lazy-jay"> <div style="text-align: center; font-size: 14px;">@lazy-jay</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/lazy-jay). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/lazy-jay") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|6\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/lazy-jay") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/lil-baby	huggingartists	2022-10-25T09:34:47Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/lil-baby" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 1.411934 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/98367f3cd4548347b114452eb3a5927f.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/lil-baby"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Lil Baby</div> <a href="https://genius.com/artists/lil-baby"> <div style="text-align: center; font-size: 14px;">@lil-baby</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/lil-baby). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/lil-baby") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|505\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/lil-baby") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/linkin-park	huggingartists	2022-10-25T09:35:20Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/linkin-park" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.684223 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/a865aac7693c39977b9b402dc364908e.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/linkin-park"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Linkin Park</div> <a href="https://genius.com/artists/linkin-park"> <div style="text-align: center; font-size: 14px;">@linkin-park</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/linkin-park). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/linkin-park") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|529\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/linkin-park") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/loverance	huggingartists	2022-10-25T09:36:44Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/loverance" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.079792 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/a8a06b82765b2451bf65b21cf4384901.291x291x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/loverance"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">LoveRance</div> <a href="https://genius.com/artists/loverance"> <div style="text-align: center; font-size: 14px;">@loverance</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/loverance). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/loverance") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|23\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/loverance") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/lovv66	huggingartists	2022-10-25T09:36:51Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/lovv66" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.290425 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/73c061dff4e60a751b35fda72ecb6781.881x881x1.png')"> </div> </div> <a href="https://huggingface.co/huggingartists/lovv66"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">LOVV66</div> <a href="https://genius.com/artists/lovv66"> <div style="text-align: center; font-size: 14px;">@lovv66</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/lovv66). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/lovv66") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|119\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/lovv66") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/mc-ride	huggingartists	2022-10-25T09:38:08Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/mc-ride" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.304935 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/c33b218009a0389e72c6d6628d3c2105.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/mc-ride"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">MC Ride</div> <a href="https://genius.com/artists/mc-ride"> <div style="text-align: center; font-size: 14px;">@mc-ride</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/mc-ride). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/mc-ride") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|121\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/mc-ride") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/mnogoznaal	huggingartists	2022-10-25T09:39:19Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/mnogoznaal" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.210071 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/29ca6a878f02979daf772290e6e71f48.1000x1000x1.png')"> </div> </div> <a href="https://huggingface.co/huggingartists/mnogoznaal"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Mnogoznaal</div> <a href="https://genius.com/artists/mnogoznaal"> <div style="text-align: center; font-size: 14px;">@mnogoznaal</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/mnogoznaal). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/mnogoznaal") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|88\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/mnogoznaal") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/morgenshtern	huggingartists	2022-10-25T09:39:25Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/morgenshtern" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.824608 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/22e752c5e4e7e4d2e8488babffb33bbf.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/morgenshtern"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">MORGENSHTERN</div> <a href="https://genius.com/artists/morgenshtern"> <div style="text-align: center; font-size: 14px;">@morgenshtern</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/morgenshtern). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/morgenshtern") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|174\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/morgenshtern") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) For more details, visit the project repository. 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huggingartists/mumiy-troll	huggingartists	2022-10-25T09:39:31Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/mumiy-troll" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.265444 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/27619189a016b6b378a2143b01cd5522.500x500x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/mumiy-troll"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Мумий Тролль (Mumiy Troll)</div> <a href="https://genius.com/artists/mumiy-troll"> <div style="text-align: center; font-size: 14px;">@mumiy-troll</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/mumiy-troll). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/mumiy-troll") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|231\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/mumiy-troll") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/nautilus-pompilius	huggingartists	2022-10-25T09:39:44Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/nautilus-pompilius" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.142168 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/7099ea093179fc16f7bca186affd6c0f.533x533x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/nautilus-pompilius"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Nautilus Pompilius (Наутилус Помпилиус)</div> <a href="https://genius.com/artists/nautilus-pompilius"> <div style="text-align: center; font-size: 14px;">@nautilus-pompilius</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/nautilus-pompilius). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/nautilus-pompilius") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|67\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/nautilus-pompilius") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/oasis	huggingartists	2022-10-25T09:40:20Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/oasis" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.229778 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/5b44be44ae2cc44dd08db4e8e07b18bb.800x800x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/oasis"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Oasis</div> <a href="https://genius.com/artists/oasis"> <div style="text-align: center; font-size: 14px;">@oasis</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/oasis). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/oasis") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|192\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/oasis") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/platina	huggingartists	2022-10-25T09:41:45Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/platina" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.373886 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/8f3967015c2cde3fec618068eb3f07ae.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/platina"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Платина (Platina)</div> <a href="https://genius.com/artists/platina"> <div style="text-align: center; font-size: 14px;">@platina</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/platina). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/platina") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|147\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/platina") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/pop-smoke	huggingartists	2022-10-25T09:41:51Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/pop-smoke" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.512514 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/41eeb550a79204cee6bdee9acdb584a2.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/pop-smoke"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Pop Smoke</div> <a href="https://genius.com/artists/pop-smoke"> <div style="text-align: center; font-size: 14px;">@pop-smoke</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/pop-smoke). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/pop-smoke") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|TRAIN_0.512514\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/pop-smoke") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ```	[ -0.5440942049026489, -0.5273128151893616, 0.027237648144364357, 0.19729183614253998, -0.14189015328884125, -0.0543779581785202, -0.3303929567337036, -0.38041362166404724, 0.7991586327552795, 0.40835797786712646, -0.8883833289146423, -0.7806121110916138, -0.5183388590812683, 0.13737274706363678, -0.09143231064081192, 1.405409812927246, -0.16436649858951569, -0.38659176230430603, -0.4627898335456848, -0.14197829365730286, -0.36326414346694946, -0.3526460528373718, -0.26791703701019287, -0.31811803579330444, 0.38875865936279297, 0.5398873686790466, 0.7507522702217102, 0.8226220011711121, 0.46684184670448303, 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huggingartists/post-malone	huggingartists	2022-10-25T09:41:57Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/post-malone" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.572271 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/1010194fa644be099aa2d1329de0b230.448x448x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/post-malone"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Post Malone</div> <a href="https://genius.com/artists/post-malone"> <div style="text-align: center; font-size: 14px;">@post-malone</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/post-malone). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/post-malone") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|295\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/post-malone") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/rage-against-the-machine	huggingartists	2022-10-25T09:42:25Z	259	1	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/rage-against-the-machine" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.216212 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/2158957823960c84c7890b8fa5e6d479.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/rage-against-the-machine"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Rage Against the Machine</div> <a href="https://genius.com/artists/rage-against-the-machine"> <div style="text-align: center; font-size: 14px;">@rage-against-the-machine</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/rage-against-the-machine). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/rage-against-the-machine") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|100\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/rage-against-the-machine") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/rihanna	huggingartists	2022-10-25T09:42:55Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/rihanna" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 1.13824 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/a23400b7447be0fb91c3c4c839c6efe7.442x442x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/rihanna"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Rihanna</div> <a href="https://genius.com/artists/rihanna"> <div style="text-align: center; font-size: 14px;">@rihanna</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/rihanna). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/rihanna") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|641\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/rihanna") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/sektor-gaza	huggingartists	2022-10-25T09:43:22Z	259	1	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/sektor-gaza" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.365256 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/9371696fb5660d2331d596bb29e5e91c.720x720x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/sektor-gaza"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Сектор Газа (Sektor Gaza)</div> <a href="https://genius.com/artists/sektor-gaza"> <div style="text-align: center; font-size: 14px;">@sektor-gaza</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/sektor-gaza). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/sektor-gaza") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|155\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/sektor-gaza") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/sergei-letov	huggingartists	2022-10-25T09:43:35Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/sergei-letov" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.035123 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/a5717aec4301e2adfb464d3b85701f74.300x300x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/sergei-letov"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Сергей Летов (Sergei Letov)</div> <a href="https://genius.com/artists/sergei-letov"> <div style="text-align: center; font-size: 14px;">@sergei-letov</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/sergei-letov). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/sergei-letov") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|7\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/sergei-letov") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/t-fest	huggingartists	2022-10-25T09:45:52Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/t-fest" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.339224 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/a97f2d2c76c51779fb5cbd7362b06789.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/t-fest"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">T-Fest</div> <a href="https://genius.com/artists/t-fest"> <div style="text-align: center; font-size: 14px;">@t-fest</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/t-fest). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/t-fest") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|127\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/t-fest") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/taylor-swift	huggingartists	2022-10-25T09:46:05Z	259	1	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/taylor-swift" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 1.469581 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/3c1f124fcbbc2857a95e513fb34cc5a8.400x400x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/taylor-swift"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Taylor Swift</div> <a href="https://genius.com/artists/taylor-swift"> <div style="text-align: center; font-size: 14px;">@taylor-swift</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/taylor-swift). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/taylor-swift") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|762\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/taylor-swift") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/tedeschi-trucks-band	huggingartists	2022-10-25T09:46:11Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/tedeschi-trucks-band" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.115986 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/c99108a2e14512dcbe143ccb53dd2319.564x564x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/tedeschi-trucks-band"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Tedeschi Trucks Band</div> <a href="https://genius.com/artists/tedeschi-trucks-band"> <div style="text-align: center; font-size: 14px;">@tedeschi-trucks-band</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/tedeschi-trucks-band). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/tedeschi-trucks-band") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|87\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/tedeschi-trucks-band") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/the-weeknd	huggingartists	2022-10-25T09:48:04Z	259	1	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/the-weeknd" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 1.849373 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/f0813e600d43b8b43c94e8ba1dde880a.640x640x1.png')"> </div> </div> <a href="https://huggingface.co/huggingartists/the-weeknd"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">The Weeknd</div> <a href="https://genius.com/artists/the-weeknd"> <div style="text-align: center; font-size: 14px;">@the-weeknd</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/the-weeknd). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/the-weeknd") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|TRAIN_1.849373\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/the-weeknd") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ```	[ -0.6099845767021179, -0.4561658799648285, 0.01678602769970894, 0.29429489374160767, -0.20127512514591217, -0.04684840515255928, -0.3685678243637085, -0.44796326756477356, 0.9107999801635742, 0.26949402689933777, -0.9978734254837036, -0.8144655227661133, -0.5593695044517517, 0.2700067460536957, -0.18820247054100037, 1.4057499170303345, -0.13020852208137512, -0.36771219968795776, -0.3431013822555542, -0.3256726562976837, -0.21328744292259216, -0.30855485796928406, -0.1855347752571106, -0.38667845726013184, 0.45538997650146484, 0.41583672165870667, 0.7868266105651855, 0.9559950232505798, 0.4987759292125702, 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huggingartists/vladimir-vysotsky	huggingartists	2022-10-25T09:50:03Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/vladimir-vysotsky" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.124261 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/18735fe10bace7b3f615b2da9c95ac73.938x938x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/vladimir-vysotsky"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Владимир Высоцкий (Vladimir Vysotsky)</div> <a href="https://genius.com/artists/vladimir-vysotsky"> <div style="text-align: center; font-size: 14px;">@vladimir-vysotsky</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/vladimir-vysotsky). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/vladimir-vysotsky") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|47\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/vladimir-vysotsky") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/xxxtentacion	huggingartists	2022-10-25T09:50:12Z	259	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/xxxtentacion" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.957186 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/f72572986d8187cf35f0fc9f9d06afb2.900x900x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/xxxtentacion"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">XXXTENTACION</div> <a href="https://genius.com/artists/xxxtentacion"> <div style="text-align: center; font-size: 14px;">@xxxtentacion</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/xxxtentacion). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/xxxtentacion") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|784\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/xxxtentacion") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) For more details, visit the project repository. 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open-llm-leaderboard/details_deepnight-research__llama-2-70B-inst	open-llm-leaderboard	2023-08-27T12:26:12Z	259	0	[ "region:us" ]	null	2023-08-18T00:00:54Z	--- pretty_name: Evaluation run of deepnight-research/llama-2-70B-inst dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [deepnight-research/llama-2-70B-inst](https://huggingface.co/deepnight-research/llama-2-70B-inst)\ \ 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_deepnight-research__llama-2-70B-inst\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-08-10T00:26:50.478989](https://huggingface.co/datasets/open-llm-leaderboard/details_deepnight-research__llama-2-70B-inst/blob/main/results_2023-08-10T00%3A26%3A50.478989.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\": 0.7050740464217434,\n\ \ \"acc_stderr\": 0.03085018588043536,\n \"acc_norm\": 0.7087855823993987,\n\ \ \"acc_norm_stderr\": 0.03081992944181276,\n \"mc1\": 0.44430844553243576,\n\ \ \"mc1_stderr\": 0.017394586250743173,\n \"mc2\": 0.6224972679005382,\n\ \ \"mc2_stderr\": 0.014880875055625352\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6732081911262798,\n \"acc_stderr\": 0.013706665975587333,\n\ \ \"acc_norm\": 0.7107508532423208,\n \"acc_norm_stderr\": 0.013250012579393441\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6974706233817964,\n\ \ \"acc_stderr\": 0.00458414401465495,\n \"acc_norm\": 0.8789085839474209,\n\ \ \"acc_norm_stderr\": 0.0032556675321152857\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252605,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252605\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\": 0.029674167520101453,\n\ \ \"acc_norm\": 0.8421052631578947,\n \"acc_norm_stderr\": 0.029674167520101453\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|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-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7320754716981132,\n \"acc_stderr\": 0.027257260322494845,\n\ \ \"acc_norm\": 0.7320754716981132,\n \"acc_norm_stderr\": 0.027257260322494845\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.8402777777777778,\n\ \ \"acc_stderr\": 0.030635578972093274,\n \"acc_norm\": 0.8402777777777778,\n\ \ \"acc_norm_stderr\": 0.030635578972093274\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \ \ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.6,\n \"acc_stderr\": 0.04923659639173309,\n \"acc_norm\": 0.6,\n\ \ \"acc_norm_stderr\": 0.04923659639173309\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \ \ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6589595375722543,\n\ \ \"acc_stderr\": 0.036146654241808254,\n \"acc_norm\": 0.6589595375722543,\n\ \ \"acc_norm_stderr\": 0.036146654241808254\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4215686274509804,\n \"acc_stderr\": 0.04913595201274498,\n\ \ \"acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.04913595201274498\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.77,\n \"acc_stderr\": 0.04229525846816507,\n \"acc_norm\": 0.77,\n\ \ \"acc_norm_stderr\": 0.04229525846816507\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.7063829787234043,\n \"acc_stderr\": 0.029771642712491227,\n\ \ \"acc_norm\": 0.7063829787234043,\n \"acc_norm_stderr\": 0.029771642712491227\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\": 0.6482758620689655,\n \"acc_stderr\": 0.0397923663749741,\n\ \ \"acc_norm\": 0.6482758620689655,\n \"acc_norm_stderr\": 0.0397923663749741\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.46825396825396826,\n \"acc_stderr\": 0.025699352832131792,\n \"\ acc_norm\": 0.46825396825396826,\n \"acc_norm_stderr\": 0.025699352832131792\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.46825396825396826,\n\ \ \"acc_stderr\": 0.04463112720677173,\n \"acc_norm\": 0.46825396825396826,\n\ \ \"acc_norm_stderr\": 0.04463112720677173\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\": 0.8096774193548387,\n\ \ \"acc_stderr\": 0.02233170761182307,\n \"acc_norm\": 0.8096774193548387,\n\ \ \"acc_norm_stderr\": 0.02233170761182307\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5615763546798029,\n \"acc_stderr\": 0.03491207857486519,\n\ \ \"acc_norm\": 0.5615763546798029,\n \"acc_norm_stderr\": 0.03491207857486519\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.79,\n \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\"\ : 0.79,\n \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.8424242424242424,\n \"acc_stderr\": 0.02845038880528436,\n\ \ \"acc_norm\": 0.8424242424242424,\n \"acc_norm_stderr\": 0.02845038880528436\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.8737373737373737,\n \"acc_stderr\": 0.023664359402880242,\n \"\ acc_norm\": 0.8737373737373737,\n \"acc_norm_stderr\": 0.023664359402880242\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\": 0.31851851851851853,\n \"acc_stderr\": 0.028406533090608463,\n \ \ \"acc_norm\": 0.31851851851851853,\n \"acc_norm_stderr\": 0.028406533090608463\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.7647058823529411,\n \"acc_stderr\": 0.02755361446786381,\n \ \ \"acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.02755361446786381\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.47019867549668876,\n \"acc_stderr\": 0.04075224992216979,\n \"\ acc_norm\": 0.47019867549668876,\n \"acc_norm_stderr\": 0.04075224992216979\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\"\ : 0.6018518518518519,\n \"acc_stderr\": 0.033384734032074016,\n \"\ acc_norm\": 0.6018518518518519,\n \"acc_norm_stderr\": 0.033384734032074016\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\": 0.8945147679324894,\n \"acc_stderr\": 0.01999556072375854,\n \ \ \"acc_norm\": 0.8945147679324894,\n \"acc_norm_stderr\": 0.01999556072375854\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\": 0.8625954198473282,\n \"acc_stderr\": 0.030194823996804475,\n\ \ \"acc_norm\": 0.8625954198473282,\n \"acc_norm_stderr\": 0.030194823996804475\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.859504132231405,\n \"acc_stderr\": 0.03172233426002157,\n \"acc_norm\"\ : 0.859504132231405,\n \"acc_norm_stderr\": 0.03172233426002157\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\": 0.803680981595092,\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\": 0.5089285714285714,\n\ \ \"acc_stderr\": 0.04745033255489122,\n \"acc_norm\": 0.5089285714285714,\n\ \ \"acc_norm_stderr\": 0.04745033255489122\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8252427184466019,\n \"acc_stderr\": 0.0376017800602662,\n\ \ \"acc_norm\": 0.8252427184466019,\n \"acc_norm_stderr\": 0.0376017800602662\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\": 0.71,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.04560480215720684\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\": 0.7803468208092486,\n \"acc_stderr\": 0.022289638852617893,\n\ \ \"acc_norm\": 0.7803468208092486,\n \"acc_norm_stderr\": 0.022289638852617893\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.6044692737430167,\n\ \ \"acc_stderr\": 0.01635341541007577,\n \"acc_norm\": 0.6044692737430167,\n\ \ \"acc_norm_stderr\": 0.01635341541007577\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\": 0.7781350482315113,\n\ \ \"acc_stderr\": 0.02359885829286305,\n \"acc_norm\": 0.7781350482315113,\n\ \ \"acc_norm_stderr\": 0.02359885829286305\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.8333333333333334,\n \"acc_stderr\": 0.020736358408060006,\n\ \ \"acc_norm\": 0.8333333333333334,\n \"acc_norm_stderr\": 0.020736358408060006\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\": 0.5521512385919165,\n\ \ \"acc_stderr\": 0.012700582404768235,\n \"acc_norm\": 0.5521512385919165,\n\ \ \"acc_norm_stderr\": 0.012700582404768235\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\": 0.7647058823529411,\n \"acc_stderr\": 0.01716058723504635,\n \ \ \"acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.01716058723504635\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7454545454545455,\n\ \ \"acc_stderr\": 0.041723430387053825,\n \"acc_norm\": 0.7454545454545455,\n\ \ \"acc_norm_stderr\": 0.041723430387053825\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.8204081632653061,\n \"acc_stderr\": 0.024573293589585637,\n\ \ \"acc_norm\": 0.8204081632653061,\n \"acc_norm_stderr\": 0.024573293589585637\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8756218905472637,\n\ \ \"acc_stderr\": 0.023335401790166327,\n \"acc_norm\": 0.8756218905472637,\n\ \ \"acc_norm_stderr\": 0.023335401790166327\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\": 0.5301204819277109,\n\ \ \"acc_stderr\": 0.03885425420866767,\n \"acc_norm\": 0.5301204819277109,\n\ \ \"acc_norm_stderr\": 0.03885425420866767\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8771929824561403,\n \"acc_stderr\": 0.02517298435015575,\n\ \ \"acc_norm\": 0.8771929824561403,\n \"acc_norm_stderr\": 0.02517298435015575\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.44430844553243576,\n\ \ \"mc1_stderr\": 0.017394586250743173,\n \"mc2\": 0.6224972679005382,\n\ \ \"mc2_stderr\": 0.014880875055625352\n }\n}\n```" repo_url: https://huggingface.co/deepnight-research/llama-2-70B-inst leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|arc:challenge\|25_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hellaswag\|10_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T00:26:50.478989.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T00:26:50.478989.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_10T00_26_50.478989 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-10T00:26:50.478989.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-10T00:26:50.478989.parquet' - config_name: results data_files: - split: 2023_08_10T00_26_50.478989 path: - results_2023-08-10T00:26:50.478989.parquet - split: latest path: - results_2023-08-10T00:26:50.478989.parquet --- # Dataset Card for Evaluation run of deepnight-research/llama-2-70B-inst ## Dataset Description - Homepage: - Repository: https://huggingface.co/deepnight-research/llama-2-70B-inst - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: [email protected] ### Dataset Summary Dataset automatically created during the evaluation run of model [deepnight-research/llama-2-70B-inst](https://huggingface.co/deepnight-research/llama-2-70B-inst) 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_deepnight-research__llama-2-70B-inst", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-08-10T00:26:50.478989](https://huggingface.co/datasets/open-llm-leaderboard/details_deepnight-research__llama-2-70B-inst/blob/main/results_2023-08-10T00%3A26%3A50.478989.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": 0.7050740464217434, "acc_stderr": 0.03085018588043536, "acc_norm": 0.7087855823993987, "acc_norm_stderr": 0.03081992944181276, "mc1": 0.44430844553243576, "mc1_stderr": 0.017394586250743173, "mc2": 0.6224972679005382, "mc2_stderr": 0.014880875055625352 }, "harness\|arc:challenge\|25": { "acc": 0.6732081911262798, "acc_stderr": 0.013706665975587333, "acc_norm": 0.7107508532423208, "acc_norm_stderr": 0.013250012579393441 }, "harness\|hellaswag\|10": { "acc": 0.6974706233817964, "acc_stderr": 0.00458414401465495, "acc_norm": 0.8789085839474209, "acc_norm_stderr": 0.0032556675321152857 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "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": 0.029674167520101453, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.029674167520101453 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.74, "acc_stderr": 0.044084400227680794, "acc_norm": 0.74, "acc_norm_stderr": 0.044084400227680794 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7320754716981132, "acc_stderr": 0.027257260322494845, "acc_norm": 0.7320754716981132, "acc_norm_stderr": 0.027257260322494845 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.8402777777777778, "acc_stderr": 0.030635578972093274, "acc_norm": 0.8402777777777778, "acc_norm_stderr": 0.030635578972093274 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.6, "acc_stderr": 0.04923659639173309, "acc_norm": 0.6, "acc_norm_stderr": 0.04923659639173309 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6589595375722543, "acc_stderr": 0.036146654241808254, "acc_norm": 0.6589595375722543, "acc_norm_stderr": 0.036146654241808254 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4215686274509804, "acc_stderr": 0.04913595201274498, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.04913595201274498 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.77, "acc_stderr": 0.04229525846816507, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816507 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.7063829787234043, "acc_stderr": 0.029771642712491227, "acc_norm": 0.7063829787234043, "acc_norm_stderr": 0.029771642712491227 }, "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": 0.6482758620689655, "acc_stderr": 0.0397923663749741, "acc_norm": 0.6482758620689655, "acc_norm_stderr": 0.0397923663749741 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.46825396825396826, "acc_stderr": 0.025699352832131792, "acc_norm": 0.46825396825396826, "acc_norm_stderr": 0.025699352832131792 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.46825396825396826, "acc_stderr": 0.04463112720677173, "acc_norm": 0.46825396825396826, "acc_norm_stderr": 0.04463112720677173 }, "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": 0.8096774193548387, "acc_stderr": 0.02233170761182307, "acc_norm": 0.8096774193548387, "acc_norm_stderr": 0.02233170761182307 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5615763546798029, "acc_stderr": 0.03491207857486519, "acc_norm": 0.5615763546798029, "acc_norm_stderr": 0.03491207857486519 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.79, "acc_stderr": 0.040936018074033256, "acc_norm": 0.79, "acc_norm_stderr": 0.040936018074033256 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.8424242424242424, "acc_stderr": 0.02845038880528436, "acc_norm": 0.8424242424242424, "acc_norm_stderr": 0.02845038880528436 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.8737373737373737, "acc_stderr": 0.023664359402880242, "acc_norm": 0.8737373737373737, "acc_norm_stderr": 0.023664359402880242 }, "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": 0.31851851851851853, "acc_stderr": 0.028406533090608463, "acc_norm": 0.31851851851851853, "acc_norm_stderr": 0.028406533090608463 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.7647058823529411, "acc_stderr": 0.02755361446786381, "acc_norm": 0.7647058823529411, "acc_norm_stderr": 0.02755361446786381 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.47019867549668876, "acc_stderr": 0.04075224992216979, "acc_norm": 0.47019867549668876, "acc_norm_stderr": 0.04075224992216979 }, "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": 0.6018518518518519, "acc_stderr": 0.033384734032074016, "acc_norm": 0.6018518518518519, "acc_norm_stderr": 0.033384734032074016 }, "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": 0.8945147679324894, "acc_stderr": 0.01999556072375854, "acc_norm": 0.8945147679324894, "acc_norm_stderr": 0.01999556072375854 }, "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": 0.8625954198473282, "acc_stderr": 0.030194823996804475, "acc_norm": 0.8625954198473282, "acc_norm_stderr": 0.030194823996804475 }, "harness\|hendrycksTest-international_law\|5": { "acc": 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[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]	[ -0.6868303418159485, -0.860653817653656, 0.32087206840515137, 0.21635384857654572, -0.18014700710773468, 0.017331136390566826, 0.03750956431031227, -0.24604381620883942, 0.616686999797821, -0.034670308232307434, -0.46093982458114624, -0.7139573693275452, -0.4703143537044525, 0.23933863639831543, -0.07817384600639343, 0.8213294148445129, -0.18362946808338165, -0.14058949053287506, 0.07015593349933624, 0.013018488883972168, -0.2868611514568329, -0.3233688473701477, -0.4680746793746948, 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open-llm-leaderboard/details_OpenBuddy__openbuddy-llama2-70b-v10.1-bf16	open-llm-leaderboard	2023-12-01T14:50:08Z	259	0	[ "region:us" ]	null	2023-08-27T11:50:51Z	--- pretty_name: Evaluation run of OpenBuddy/openbuddy-llama2-70b-v10.1-bf16 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [OpenBuddy/openbuddy-llama2-70b-v10.1-bf16](https://huggingface.co/OpenBuddy/openbuddy-llama2-70b-v10.1-bf16)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 3 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_OpenBuddy__openbuddy-llama2-70b-v10.1-bf16_public\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-11-08T16:10:00.132989](https://huggingface.co/datasets/open-llm-leaderboard/details_OpenBuddy__openbuddy-llama2-70b-v10.1-bf16_public/blob/main/results_2023-11-08T16-10-00.132989.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.5072357382550335,\n\ \ \"em_stderr\": 0.0051199317896190475,\n \"f1\": 0.563010696308727,\n\ \ \"f1_stderr\": 0.00483160969587092,\n \"acc\": 0.7019171563925458,\n\ \ \"acc_stderr\": 0.012348644812426555\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.5072357382550335,\n \"em_stderr\": 0.0051199317896190475,\n\ \ \"f1\": 0.563010696308727,\n \"f1_stderr\": 0.00483160969587092\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.6027293404094011,\n \ \ \"acc_stderr\": 0.013478659652337792\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8011049723756906,\n \"acc_stderr\": 0.01121862997251532\n\ \ }\n}\n```" repo_url: https://huggingface.co/OpenBuddy/openbuddy-llama2-70b-v10.1-bf16 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_drop_3 data_files: - split: 2023_11_08T16_10_00.132989 path: - '/details_harness\|drop\|3_2023-11-08T16-10-00.132989.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-11-08T16-10-00.132989.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_11_08T16_10_00.132989 path: - '/details_harness\|gsm8k\|5_2023-11-08T16-10-00.132989.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-11-08T16-10-00.132989.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_11_08T16_10_00.132989 path: - '/details_harness\|winogrande\|5_2023-11-08T16-10-00.132989.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-11-08T16-10-00.132989.parquet' - config_name: results data_files: - split: 2023_11_08T16_10_00.132989 path: - results_2023-11-08T16-10-00.132989.parquet - split: latest path: - results_2023-11-08T16-10-00.132989.parquet --- # Dataset Card for Evaluation run of OpenBuddy/openbuddy-llama2-70b-v10.1-bf16 ## Dataset Description - Homepage: - Repository: https://huggingface.co/OpenBuddy/openbuddy-llama2-70b-v10.1-bf16 - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: [email protected] ### Dataset Summary Dataset automatically created during the evaluation run of model [OpenBuddy/openbuddy-llama2-70b-v10.1-bf16](https://huggingface.co/OpenBuddy/openbuddy-llama2-70b-v10.1-bf16) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 3 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_OpenBuddy__openbuddy-llama2-70b-v10.1-bf16_public", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-11-08T16:10:00.132989](https://huggingface.co/datasets/open-llm-leaderboard/details_OpenBuddy__openbuddy-llama2-70b-v10.1-bf16_public/blob/main/results_2023-11-08T16-10-00.132989.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.5072357382550335, "em_stderr": 0.0051199317896190475, "f1": 0.563010696308727, "f1_stderr": 0.00483160969587092, "acc": 0.7019171563925458, "acc_stderr": 0.012348644812426555 }, "harness\|drop\|3": { "em": 0.5072357382550335, "em_stderr": 0.0051199317896190475, "f1": 0.563010696308727, "f1_stderr": 0.00483160969587092 }, "harness\|gsm8k\|5": { "acc": 0.6027293404094011, "acc_stderr": 0.013478659652337792 }, "harness\|winogrande\|5": { "acc": 0.8011049723756906, "acc_stderr": 0.01121862997251532 } } ``` ### 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]	[ -0.41101396083831787, -0.7721843123435974, 0.20842979848384857, 0.2645406424999237, -0.1886448860168457, 0.12964120507240295, -0.38037917017936707, -0.21639300882816315, 0.4044039845466614, 0.5050144195556641, -0.5820168852806091, -0.9542179107666016, -0.630543053150177, 0.12483765929937363, -0.11595312505960464, 1.148431658744812, -0.3891848027706146, -0.26332154870033264, -0.0693167969584465, -0.2513880133628845, -0.39193984866142273, -0.33977821469306946, -0.42097896337509155, 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open-llm-leaderboard/details_caisarl76__Mistral-7B-OpenOrca-Guanaco-accu16	open-llm-leaderboard	2023-10-26T08:32:46Z	259	0	[ "region:us" ]	null	2023-10-09T15:53:34Z	--- pretty_name: Evaluation run of caisarl76/Mistral-7B-OpenOrca-Guanaco-accu16 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [caisarl76/Mistral-7B-OpenOrca-Guanaco-accu16](https://huggingface.co/caisarl76/Mistral-7B-OpenOrca-Guanaco-accu16)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_caisarl76__Mistral-7B-OpenOrca-Guanaco-accu16\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-26T08:32:33.327127](https://huggingface.co/datasets/open-llm-leaderboard/details_caisarl76__Mistral-7B-OpenOrca-Guanaco-accu16/blob/main/results_2023-10-26T08-32-33.327127.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.0045092281879194635,\n\ \ \"em_stderr\": 0.0006861346899094969,\n \"f1\": 0.08383808724832231,\n\ \ \"f1_stderr\": 0.0017696414807013908,\n \"acc\": 0.46277883857625746,\n\ \ \"acc_stderr\": 0.011001753966995261\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0045092281879194635,\n \"em_stderr\": 0.0006861346899094969,\n\ \ \"f1\": 0.08383808724832231,\n \"f1_stderr\": 0.0017696414807013908\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.1599696739954511,\n \ \ \"acc_stderr\": 0.010097377827752538\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7655880031570639,\n \"acc_stderr\": 0.011906130106237986\n\ \ }\n}\n```" repo_url: https://huggingface.co/caisarl76/Mistral-7B-OpenOrca-Guanaco-accu16 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|arc:challenge\|25_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-09T15-53-10.944584.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_26T08_32_33.327127 path: - '/details_harness\|drop\|3_2023-10-26T08-32-33.327127.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-26T08-32-33.327127.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_26T08_32_33.327127 path: - '/details_harness\|gsm8k\|5_2023-10-26T08-32-33.327127.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-26T08-32-33.327127.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hellaswag\|10_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T15-53-10.944584.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T15-53-10.944584.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_09T15_53_10.944584 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-09T15-53-10.944584.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-09T15-53-10.944584.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_26T08_32_33.327127 path: - '/details_harness\|winogrande\|5_2023-10-26T08-32-33.327127.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-26T08-32-33.327127.parquet' - config_name: results data_files: - split: 2023_10_09T15_53_10.944584 path: - results_2023-10-09T15-53-10.944584.parquet - split: 2023_10_26T08_32_33.327127 path: - results_2023-10-26T08-32-33.327127.parquet - split: latest path: - results_2023-10-26T08-32-33.327127.parquet --- # Dataset Card for Evaluation run of caisarl76/Mistral-7B-OpenOrca-Guanaco-accu16 ## Dataset Description - Homepage: - Repository: https://huggingface.co/caisarl76/Mistral-7B-OpenOrca-Guanaco-accu16 - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: [email protected] ### Dataset Summary Dataset automatically created during the evaluation run of model [caisarl76/Mistral-7B-OpenOrca-Guanaco-accu16](https://huggingface.co/caisarl76/Mistral-7B-OpenOrca-Guanaco-accu16) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_caisarl76__Mistral-7B-OpenOrca-Guanaco-accu16", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-26T08:32:33.327127](https://huggingface.co/datasets/open-llm-leaderboard/details_caisarl76__Mistral-7B-OpenOrca-Guanaco-accu16/blob/main/results_2023-10-26T08-32-33.327127.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.0045092281879194635, "em_stderr": 0.0006861346899094969, "f1": 0.08383808724832231, "f1_stderr": 0.0017696414807013908, "acc": 0.46277883857625746, "acc_stderr": 0.011001753966995261 }, "harness\|drop\|3": { "em": 0.0045092281879194635, "em_stderr": 0.0006861346899094969, "f1": 0.08383808724832231, "f1_stderr": 0.0017696414807013908 }, "harness\|gsm8k\|5": { "acc": 0.1599696739954511, "acc_stderr": 0.010097377827752538 }, "harness\|winogrande\|5": { "acc": 0.7655880031570639, "acc_stderr": 0.011906130106237986 } } ``` ### 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]	[ -0.41177746653556824, -0.6173155307769775, 0.16403554379940033, 0.24712912738323212, -0.15951450169086456, 0.05449077486991882, -0.37370333075523376, -0.17469818890094757, 0.3528212010860443, 0.549591064453125, -0.6024870872497559, -0.9903351664543152, -0.6483626365661621, 0.13258637487888336, -0.1615583449602127, 1.1629528999328613, -0.28615492582321167, -0.1867445707321167, 0.12270941585302353, -0.3434467315673828, -0.3513391613960266, -0.42780801653862, -0.6030545830726624, 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ajax-law/obstructions	ajax-law	2023-12-02T04:15:23Z	259	0	[ "region:us" ]	null	2023-12-01T22:33:51Z	--- dataset_info: features: - name: image_object dtype: image - name: height dtype: int64 - name: width dtype: int64 - name: obstruction_type dtype: string splits: - name: train num_bytes: 18710288.0 num_examples: 83 download_size: 17626520 dataset_size: 18710288.0 configs: - config_name: default data_files: - split: train path: data/train-* ---	[ -0.1285339891910553, -0.186167910695076, 0.6529129147529602, 0.4943627417087555, -0.19319313764572144, 0.23607458174228668, 0.3607197701931, 0.05056354030966759, 0.5793653726577759, 0.740013599395752, -0.6508103609085083, -0.2378397285938263, -0.7102249264717102, -0.047825902700424194, -0.3894753158092499, 0.8470762372016907, -0.09598255157470703, 0.024004921317100525, 0.047120124101638794, -0.14317825436592102, -0.612104058265686, -0.04771730303764343, -1.052453875541687, -0.06787486374378204, 0.3002282381057739, 0.5120974779129028, 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hebrew_this_world	null	2022-11-03T16:08:08Z	258	1	[ "task_categories:text-generation", "task_categories:fill-mask", "task_ids:language-modeling", "task_ids:masked-language-modeling", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:he", "license:agpl-3.0", "region:us" ]	[ "text-generation", "fill-mask" ]	2022-03-02T23:29:22Z	--- annotations_creators: - expert-generated language_creators: - found language: - he license: - agpl-3.0 multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - text-generation - fill-mask task_ids: - language-modeling - masked-language-modeling paperswithcode_id: null pretty_name: HebrewSentiment dataset_info: features: - name: issue_num dtype: int64 - name: page_count dtype: int64 - name: date dtype: string - name: date_he dtype: string - name: year dtype: string - name: href dtype: string - name: pdf dtype: string - name: coverpage dtype: string - name: backpage dtype: string - name: content dtype: string - name: url dtype: string splits: - name: train num_bytes: 678389435 num_examples: 2028 download_size: 678322912 dataset_size: 678389435 --- # Dataset Card for HebrewSentiment ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: https://thisworld.online/ - Repository: https://github.com/thisworld1/thisworld.online - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary HebrewThisWorld is a data set consists of 2028 issues of the newspaper 'This World' edited by Uri Avnery and were published between 1950 and 1989. Released under the AGPLv3 license. Data Annotation: ### Supported Tasks and Leaderboards Language modeling ### Languages Hebrew ## Dataset Structure csv file with "," delimeter ### Data Instances Sample: ```json { "issue_num": 637, "page_count": 16, "date": "1950-01-01", "date_he": "1 בינואר 1950", "year": "1950", "href": "https://thisworld.online/1950/637", "pdf": "https://olam.eu-central-1.linodeobjects.com/pdfs/B-I0637-D010150.pdf", "coverpage": "https://olam.eu-central-1.linodeobjects.com/pages/637/t-1.png", "backpage": "https://olam.eu-central-1.linodeobjects.com/pages/637/t-16.png", "content": "\nלפיד\nהנוער ־ בירושלים צילומים :\n\nב. רותנברג\n\nוזהו הלפיד\n...", "url": "https://thisworld.online/api/1950/637" } ``` ### Data Fields - `issue_num`: ID/Number of the issue - `page_count`: Page count of the current issue - `date`: Published date - `date_he`: Published date in Hebrew - `year`: Year of the issue - `href`: URL to the issue to scan/print etc. - `pdf`: URL to the issue to scan in pdf - `coverpage`: URL to coverpage - `backpage`: URL to backpage - `content`: text content of the issue - `url`: URL ### Data Splits \| \| train \| \|--------\|------:\| \| corpus \| 2028 \| ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data [thisworld.online](https://thisworld.online/) #### 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? Researchers ### 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 GNU AGPLv3+ This is free software, and you are welcome to redistribute it under certain conditions. This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details. You should have received a copy of the GNU Affero General Public License along with this program. If not, see <http://www.gnu.org/licenses/>. ### Citation Information https://thisworld.online/ ### Contributions Thanks to [@lhoestq](https://github.com/lhoestq), [@imvladikon](https://github.com/imvladikon) for adding this dataset.	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twi_text_c3	null	2022-11-03T16:15:20Z	258	1	[ "task_categories:text-generation", "task_categories:fill-mask", "task_ids:language-modeling", "task_ids:masked-language-modeling", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:original", "language:tw", "license:cc-by-nc-4.0", "region:us" ]	[ "text-generation", "fill-mask" ]	2022-03-02T23:29:22Z	--- annotations_creators: - expert-generated language_creators: - found language: - tw license: - cc-by-nc-4.0 multilinguality: - monolingual size_categories: - 100K<n<1M source_datasets: - original task_categories: - text-generation - fill-mask task_ids: - language-modeling - masked-language-modeling paperswithcode_id: null pretty_name: Twi Text C3 dataset_info: features: - name: text dtype: string config_name: plain_text splits: - name: train num_bytes: 71198430 num_examples: 675772 download_size: 69170842 dataset_size: 71198430 --- # Dataset Card for Twi Text C3 ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: https://www.aclweb.org/anthology/2020.lrec-1.335 - Repository: https://github.com/ajesujoba/YorubaTwi-Embedding/ - Paper: https://www.aclweb.org/anthology/2020.lrec-1.335 - Leaderboard: - Point of Contact: [Kwabena Amponsah-Kaakyire](mailto:[email protected]) ### Dataset Summary Twi Text C3 was collected from various sources from the web (Bible, JW300, wikipedia, etc) to compare pre-trained word embeddings (Fasttext) and embeddings and embeddings trained on curated Twi Texts. The dataset consists of clean texts (i.e the Bible) and noisy texts (with incorrect orthography and mixed dialects) from other online sources like Wikipedia and JW300 ### Supported Tasks and Leaderboards For training word embeddings and language models on Twi texts. ### Languages The language supported is Twi. ## Dataset Structure ### Data Instances A data point is a sentence in each line. { 'text': 'mfitiaseɛ no onyankopɔn bɔɔ ɔsoro ne asaase' } ### Data Fields - `text`: a `string` feature. a sentence text per line ### Data Splits Contains only the training split. ## Dataset Creation ### Curation Rationale The data was created to help introduce resources to new language - Twi. ### Source Data #### Initial Data Collection and Normalization The dataset comes from various sources of the web: Bible, JW300, and wikipedia. See Table 1 in the [paper](https://www.aclweb.org/anthology/2020.lrec-1.335/) for the summary of the dataset and statistics #### Who are the source language producers? [Jehovah Witness](https://www.jw.org/) (JW300) [Twi Bible](http://www.bible.com/) [Yorùbá Wikipedia](dumps.wikimedia.org/twwiki) ### 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 The dataset is biased to the religion domain (Christianity) because of the inclusion of JW300 and the Bible. ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators The data sets were curated by Kwabena Amponsah-Kaakyire, Jesujoba Alabi, and David Adelani, students of Saarland University, Saarbrücken, Germany . ### Licensing Information The data is under the [Creative Commons Attribution-NonCommercial 4.0 ](https://creativecommons.org/licenses/by-nc/4.0/legalcode) ### Citation Information ``` @inproceedings{alabi-etal-2020-massive, title = "Massive vs. Curated Embeddings for Low-Resourced Languages: the Case of {Y}or{\`u}b{\'a} and {T}wi", author = "Alabi, Jesujoba and Amponsah-Kaakyire, Kwabena and Adelani, David and Espa{\~n}a-Bonet, Cristina", booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference", month = may, year = "2020", address = "Marseille, France", publisher = "European Language Resources Association", url = "https://www.aclweb.org/anthology/2020.lrec-1.335", pages = "2754--2762", abstract = "The success of several architectures to learn semantic representations from unannotated text and the availability of these kind of texts in online multilingual resources such as Wikipedia has facilitated the massive and automatic creation of resources for multiple languages. The evaluation of such resources is usually done for the high-resourced languages, where one has a smorgasbord of tasks and test sets to evaluate on. For low-resourced languages, the evaluation is more difficult and normally ignored, with the hope that the impressive capability of deep learning architectures to learn (multilingual) representations in the high-resourced setting holds in the low-resourced setting too. In this paper we focus on two African languages, Yor{\`u}b{\'a} and Twi, and compare the word embeddings obtained in this way, with word embeddings obtained from curated corpora and a language-dependent processing. We analyse the noise in the publicly available corpora, collect high quality and noisy data for the two languages and quantify the improvements that depend not only on the amount of data but on the quality too. We also use different architectures that learn word representations both from surface forms and characters to further exploit all the available information which showed to be important for these languages. For the evaluation, we manually translate the wordsim-353 word pairs dataset from English into Yor{\`u}b{\'a} and Twi. We extend the analysis to contextual word embeddings and evaluate multilingual BERT on a named entity recognition task. For this, we annotate with named entities the Global Voices corpus for Yor{\`u}b{\'a}. As output of the work, we provide corpora, embeddings and the test suits for both languages.", language = "English", ISBN = "979-10-95546-34-4", } ``` ### Contributions Thanks to [@dadelani](https://github.com/dadelani) for adding this dataset.	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gigant/m-ailabs_speech_dataset_fr	gigant	2022-10-24T17:38:45Z	258	0	[ "task_categories:automatic-speech-recognition", "language:fr", "license:cc", "region:us" ]	[ "automatic-speech-recognition" ]	2022-03-02T23:29:22Z	--- language: - fr license: cc size_categories: fr: - 10K<n<100K task_categories: - automatic-speech-recognition task_ids: [] pretty_name: M-AILABS Speech Dataset (French) --- ## Dataset Description - Homepage: https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/ ### Dataset Summary The M-AILABS Speech Dataset is the first large dataset that we are providing free-of-charge, freely usable as training data for speech recognition and speech synthesis. Most of the data is based on LibriVox and Project Gutenberg. The training data consist of nearly thousand hours of audio and the text-files in prepared format. A transcription is provided for each clip. Clips vary in length from 1 to 20 seconds and have a total length of approximately shown in the list (and in the respective info.txt-files) below. The texts were published between 1884 and 1964, and are in the public domain. The audio was recorded by the LibriVox project and is also in the public domain – except for Ukrainian. Ukrainian audio was kindly provided either by Nash Format or Gwara Media for machine learning purposes only (please check the data info.txt files for details). ### Languages French ## Dataset Structure ### Data Instances A typical data point comprises the path to the audio file, called audio and its sentence. ### Data Fields - audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, i.e. `dataset[0]["audio"]` should always be preferred over `dataset["audio"][0]`. - sentence: The sentence the user was prompted to speak ### Data Splits The speech material has not been subdivided into portions, everything is in the "train" split. The train split consists of 82825 audio clips and the related sentences. ### Contributions [@gigant](https://huggingface.co/gigant) added this dataset.	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giganticode/java-cmpx	giganticode	2022-07-01T20:33:03Z	258	0	[ "task_categories:text-classification", "task_ids:multi-class-classification", "multilinguality:monolingual", "size_categories:unknown", "license:mit", "region:us" ]	[ "text-classification" ]	2022-03-02T23:29:22Z	--- language: - java license: - mit multilinguality: - monolingual pretty_name: - java-cmpx size_categories: - unknown source_datasets: [] task_categories: - text-classification task_ids: - multi-class-classification ---	[ -0.1285339891910553, -0.186167910695076, 0.6529129147529602, 0.4943627417087555, -0.19319313764572144, 0.23607458174228668, 0.3607197701931, 0.05056354030966759, 0.5793653726577759, 0.740013599395752, -0.6508103609085083, -0.2378397285938263, -0.7102249264717102, -0.047825902700424194, -0.3894753158092499, 0.8470762372016907, -0.09598255157470703, 0.024004921317100525, 0.047120124101638794, -0.14317825436592102, -0.612104058265686, -0.04771730303764343, -1.052453875541687, -0.06787486374378204, 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huggingartists/50-cent	huggingartists	2022-10-25T09:21:02Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/50-cent" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 2.267733 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/2aa85f8fdffe5d0552ff319221fc63e4.959x959x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/50-cent"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">50 Cent</div> <a href="https://genius.com/artists/50-cent"> <div style="text-align: center; font-size: 14px;">@50-cent</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/50-cent). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/50-cent") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|840\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/50-cent") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/agata-christie	huggingartists	2022-10-25T09:22:38Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/agata-christie" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.143508 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/61b6b0a0b7f6587d1b33542d5c18ad3c.489x489x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/agata-christie"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Агата Кристи (Agata Christie)</div> <a href="https://genius.com/artists/agata-christie"> <div style="text-align: center; font-size: 14px;">@agata-christie</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/agata-christie). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/agata-christie") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|78\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/agata-christie") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/aimer	huggingartists	2022-10-25T09:22:51Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/aimer" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.237926 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/123a0b2ef09a25207b610c5bd7b21d0f.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/aimer"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Aimer</div> <a href="https://genius.com/artists/aimer"> <div style="text-align: center; font-size: 14px;">@aimer</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/aimer). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/aimer") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|171\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/aimer") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/ariya	huggingartists	2022-10-25T09:23:42Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/ariya" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.070471 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/975b03ba317602498bed5321f12caebe.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/ariya"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Ария (Ariya)</div> <a href="https://genius.com/artists/ariya"> <div style="text-align: center; font-size: 14px;">@ariya</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/ariya). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/ariya") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|22\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/ariya") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/armin-van-buuren	huggingartists	2022-10-25T09:23:48Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/armin-van-buuren" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.358063 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/b1a35069a1a44927425ef26c0bbda4a4.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/armin-van-buuren"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Armin van Buuren</div> <a href="https://genius.com/artists/armin-van-buuren"> <div style="text-align: center; font-size: 14px;">@armin-van-buuren</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/armin-van-buuren). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/armin-van-buuren") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|546\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/armin-van-buuren") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/asper-x	huggingartists	2022-10-25T09:24:15Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/asper-x" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.070417 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/9151b2c7ff179037cc5f79221abd0182.388x388x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/asper-x"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Asper X</div> <a href="https://genius.com/artists/asper-x"> <div style="text-align: center; font-size: 14px;">@asper-x</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/asper-x). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/asper-x") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|18\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/asper-x") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/big-baby-tape	huggingartists	2022-10-25T09:24:28Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/big-baby-tape" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.573981 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/d3fc4853f74c35383ec68670bbd292eb.709x709x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/big-baby-tape"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Big Baby Tape</div> <a href="https://genius.com/artists/big-baby-tape"> <div style="text-align: center; font-size: 14px;">@big-baby-tape</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/big-baby-tape). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/big-baby-tape") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|255\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/big-baby-tape") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/bruce-springsteen	huggingartists	2022-10-25T09:25:44Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/bruce-springsteen" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 1.320493 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/6dfe4b89b895b331f09c6b136a0705e5.807x807x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/bruce-springsteen"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Bruce Springsteen</div> <a href="https://genius.com/artists/bruce-springsteen"> <div style="text-align: center; font-size: 14px;">@bruce-springsteen</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/bruce-springsteen). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/bruce-springsteen") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|960\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/bruce-springsteen") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/ddt	huggingartists	2022-10-25T09:27:16Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/ddt" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.057123 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.rapgenius.com/avatars/medium/f258b58a22ea31bb81b73395c47e5ba4')"> </div> </div> <a href="https://huggingface.co/huggingartists/ddt"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">DDT</div> <a href="https://genius.com/artists/ddt"> <div style="text-align: center; font-size: 14px;">@ddt</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/ddt). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/ddt") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|20\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/ddt") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/denderty	huggingartists	2022-10-25T09:27:35Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/denderty" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.096003 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/cc5ab151c2e490b6795919a7838ffdc4.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/denderty"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">DenDerty</div> <a href="https://genius.com/artists/denderty"> <div style="text-align: center; font-size: 14px;">@denderty</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/denderty). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/denderty") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|75\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/denderty") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/doja-cat	huggingartists	2022-10-25T09:27:55Z	258	1	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/doja-cat" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.558864 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/49b33cfa0bdb3ed97058a10960f2af8d.640x640x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/doja-cat"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Doja Cat</div> <a href="https://genius.com/artists/doja-cat"> <div style="text-align: center; font-size: 14px;">@doja-cat</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/doja-cat). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/doja-cat") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|321\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/doja-cat") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/kanye-west	huggingartists	2022-10-25T09:32:45Z	258	1	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/kanye-west" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 9.789772 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/ff12f8b733e024adf005ff2a4aff4a07.639x639x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/kanye-west"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Kanye West</div> <a href="https://genius.com/artists/kanye-west"> <div style="text-align: center; font-size: 14px;">@kanye-west</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/kanye-west). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/kanye-west") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|TRAIN_9.789772\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/kanye-west") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) For more details, visit the project repository. 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huggingartists/kendrick-lamar	huggingartists	2022-10-25T09:33:12Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/kendrick-lamar" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 2.493223 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/f08637c8cfdeaab4dfbf0631424001ec.640x640x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/kendrick-lamar"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Kendrick Lamar</div> <a href="https://genius.com/artists/kendrick-lamar"> <div style="text-align: center; font-size: 14px;">@kendrick-lamar</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/kendrick-lamar). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/kendrick-lamar") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|861\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/kendrick-lamar") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/kipelov	huggingartists	2022-10-25T09:33:40Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/kipelov" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.044011 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/d4ae6ad73ca63bc97b2a10dfefc47b63.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/kipelov"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Кипелов (Kipelov)</div> <a href="https://genius.com/artists/kipelov"> <div style="text-align: center; font-size: 14px;">@kipelov</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/kipelov). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/kipelov") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|8\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/kipelov") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/krechet	huggingartists	2022-10-25T09:34:08Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/krechet" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.03618 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/61181ccb60b6a0e1e7f8fb8ae2a2ab0a.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/krechet"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Krechet</div> <a href="https://genius.com/artists/krechet"> <div style="text-align: center; font-size: 14px;">@krechet</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/krechet). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/krechet") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|5\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/krechet") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/loud-luxury	huggingartists	2022-10-25T09:36:38Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/loud-luxury" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.118966 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/6aa21ea8658908051e15b8d7808b5196.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/loud-luxury"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Loud Luxury</div> <a href="https://genius.com/artists/loud-luxury"> <div style="text-align: center; font-size: 14px;">@loud-luxury</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/loud-luxury). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/loud-luxury") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|58\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/loud-luxury") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/lumen	huggingartists	2022-10-25T09:36:58Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/lumen" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.228398 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/61558b47c4f9ca1823bf796458ea804b.722x722x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/lumen"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Lumen</div> <a href="https://genius.com/artists/lumen"> <div style="text-align: center; font-size: 14px;">@lumen</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/lumen). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/lumen") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|114\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/lumen") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/macan	huggingartists	2022-10-25T09:37:11Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/macan" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.098787 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/9c2f93bf9d29964df4d9d5f41089a2b5.976x976x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/macan"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">MACAN</div> <a href="https://genius.com/artists/macan"> <div style="text-align: center; font-size: 14px;">@macan</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/macan). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/macan") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|27\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/macan") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/marillion	huggingartists	2022-10-25T09:37:29Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/marillion" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.363164 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/669cf880ceff9d1b5d31537747c26378.495x495x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/marillion"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Marillion</div> <a href="https://genius.com/artists/marillion"> <div style="text-align: center; font-size: 14px;">@marillion</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/marillion). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/marillion") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|294\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/marillion") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/nicki-minaj	huggingartists	2022-10-25T09:39:57Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/nicki-minaj" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 2.01836 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/8ae5a5e5e030cb67814165bd038af48f.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/nicki-minaj"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Nicki Minaj</div> <a href="https://genius.com/artists/nicki-minaj"> <div style="text-align: center; font-size: 14px;">@nicki-minaj</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/nicki-minaj). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/nicki-minaj") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|847\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/nicki-minaj") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/og-buda	huggingartists	2022-10-25T09:40:34Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/og-buda" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.641111 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/73f7f7eaff5043a332d13cfae5282bc5.668x668x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/og-buda"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">OG Buda</div> <a href="https://genius.com/artists/og-buda"> <div style="text-align: center; font-size: 14px;">@og-buda</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/og-buda). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/og-buda") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|236\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/og-buda") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/the-velvet-underground	huggingartists	2022-10-25T09:47:58Z	258	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/the-velvet-underground" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.327672 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://s3.amazonaws.com/rapgenius/vu.jpeg')"> </div> </div> <a href="https://huggingface.co/huggingartists/the-velvet-underground"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">The Velvet Underground</div> <a href="https://genius.com/artists/the-velvet-underground"> <div style="text-align: center; font-size: 14px;">@the-velvet-underground</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/the-velvet-underground). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/the-velvet-underground") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|241\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/the-velvet-underground") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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huggingartists/tool	huggingartists	2022-10-25T09:48:37Z	258	1	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/tool" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.129846 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/acf1d51a2d729391074dc51a6dd26857.1000x1000x1.png')"> </div> </div> <a href="https://huggingface.co/huggingartists/tool"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Tool</div> <a href="https://genius.com/artists/tool"> <div style="text-align: center; font-size: 14px;">@tool</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/tool). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/tool") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|101\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/tool") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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Fazzie/Teyvat	Fazzie	2022-12-13T02:09:42Z	258	18	[ "task_categories:text-to-image", "annotations_creators:no-annotation", "language_creators:found", "source_datasets:original", "language:en", "license:unknown", "region:us" ]	[ "text-to-image" ]	2022-11-16T03:47:33Z	--- annotations_creators: - no-annotation language_creators: - found language: - en license: - unknown source_datasets: - original task_categories: - text-to-image dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 71202 num_examples: 234 download_size: 466995417 dataset_size: 71202 --- # Dataset Card for Teyvat BLIP captions Dataset used to train [Teyvat characters text to image model](https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/diffusion). BLIP generated captions for characters images from [genshin-impact fandom wiki](https://genshin-impact.fandom.com/wiki/Character#Playable_Characters)and [biligame wiki for genshin impact](https://wiki.biligame.com/ys/%E8%A7%92%E8%89%B2). For each row the dataset contains `image` and `text` keys. `image` is a varying size PIL png, and `text` is the accompanying text caption. Only a train split is provided. The `text` include the tag `Teyvat`, `Name`,`Element`, `Weapon`, `Region`, `Model type`, and `Description`, the `Description` is captioned with the [pre-trained BLIP model](https://github.com/salesforce/BLIP). ## Examples <img src = "https://huggingface.co/datasets/Fazzie/Teyvat/resolve/main/data/Ganyu_001.png" title = "Ganyu_001.png" style="max-width: 20%;" > > Teyvat, Name:Ganyu, Element:Cryo, Weapon:Bow, Region:Liyue, Model type:Medium Female, Description:an anime character with blue hair and blue eyes <img src = "https://huggingface.co/datasets/Fazzie/Teyvat/resolve/main/data/Ganyu_002.png" title = "Ganyu_002.png" style="max-width: 20%;" > > Teyvat, Name:Ganyu, Element:Cryo, Weapon:Bow, Region:Liyue, Model type:Medium Female, Description:an anime character with blue hair and blue eyes <img src = "https://huggingface.co/datasets/Fazzie/Teyvat/resolve/main/data/Keqing_003.png" title = "Keqing_003.png" style="max-width: 20%;" > > Teyvat, Name:Keqing, Element:Electro, Weapon:Sword, Region:Liyue, Model type:Medium Female, Description:a anime girl with long white hair and blue eyes <img src = "https://huggingface.co/datasets/Fazzie/Teyvat/resolve/main/data/Keqing_004.png" title = "Keqing_004.png" style="max-width: 20%;" > > Teyvat, Name:Keqing, Element:Electro, Weapon:Sword, Region:Liyue, Model type:Medium Female, Description:an anime character wearing a purple dress and cat ears	[ -0.4081825613975525, -0.4639623761177063, 0.010339593514800072, 0.22377027571201324, -0.4854421615600586, -0.00916152261197567, -0.04951393976807594, -0.3515535593032837, 0.5211570858955383, 0.4523143470287323, -0.8600160479545593, -0.7013871669769287, -0.4779456555843353, 0.2325989305973053, -0.1587798297405243, 1.0813754796981812, -0.036126572638750076, -0.1482345312833786, -0.040568266063928604, -0.04858111962676048, -0.4505437910556793, -0.11828222125768661, -0.6420355439186096, -0.014654991216957569, 0.5272974967956543, 0.5597668886184692, 0.9483101963996887, 0.6953190565109253, 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NTU-NLP-sg/xCodeEval	NTU-NLP-sg	2023-06-03T21:33:12Z	258	25	[ "task_categories:translation", "task_categories:token-classification", "task_categories:text2text-generation", "task_categories:text-retrieval", "task_categories:text-generation", "task_categories:text-classification", "task_categories:feature-extraction", "task_categories:question-answering", "annotations_creators:expert-generated", "language_creators:found", "language_creators:expert-generated", "multilinguality:multilingual", "size_categories:1M<n<10M", "size_categories:10M<n<100M", "source_datasets:original", "language:code", "language:en", "license:cc-by-nc-4.0", "programming-language", "code", "program-synthesis", "automatic-code-repair", "code-retrieval", "code-translation", "code-classification", "arxiv:2303.03004", "region:us" ]	[ "translation", "token-classification", "text2text-generation", "text-retrieval", "text-generation", "text-classification", "feature-extraction", "question-answering" ]	2023-04-09T11:02:35Z	--- annotations_creators: - expert-generated language: - code - en language_creators: - found - expert-generated license: - cc-by-nc-4.0 multilinguality: - multilingual pretty_name: xCodeEval size_categories: - 1M<n<10M - 10M<n<100M source_datasets: - original tags: - programming-language - code - program-synthesis - automatic-code-repair - code-retrieval - code-translation - code-classification task_categories: - translation - token-classification - text2text-generation - text-retrieval - text-generation - text-classification - feature-extraction - question-answering --- [github](https://github.com/ntunlp/xCodeEval) # xCodeEval [xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval](https://arxiv.org/abs/2303.03004) We introduce xCodeEval, the largest executable multilingual multitask benchmark to date consisting of 25 M document-level coding examples from about 7.5 K unique problems covering up to 17 programming languages with execution-level parallelism. It features a total of seven tasks involving code understanding, generation, translation and retrieval, and it employs an execution-based evaluation. We develop a test-case based multilingual code execution engine, [ExecEval](https://github.com/ntunlp/ExecEval) that supports all the programming languages in xCodeEval. We also propose a novel data splitting and a data selection schema for balancing data distributions over multiple attributes based on geometric mean and graph-theoretic principle. This repository contains the sample code and data link for xCodeEval [paper](https://arxiv.org/abs/2303.03004). # Data Download Currently this repository supports huggingface [`load_dataset()`](https://huggingface.co/docs/datasets/v1.11.0/package_reference/loading_methods.html#datasets.load_dataset) api. Follow the following example to load dataset for individual examples. ``` import datasets prog_synthesis_dataset = datasets.load_dataset("NTU-NLP-sg/xCodeEval", "program_synthesis") code_translation_dataset = datasets.load_dataset("NTU-NLP-sg/xCodeEval", "code_translation") tag_classification_dataset = datasets.load_dataset("NTU-NLP-sg/xCodeEval", "tag_classification") apr_dataset = datasets.load_dataset("NTU-NLP-sg/xCodeEval", "apr") pcode_compilation_dataset = datasets.load_dataset("NTU-NLP-sg/xCodeEval", "code_compilation") retrieval_code_code_dataset = datasets.load_dataset("NTU-NLP-sg/xCodeEval", "retrieval_code_code") retrieval_nl_code_dataset = datasets.load_dataset("NTU-NLP-sg/xCodeEval", "retrieval_nl_code") retrieval_corpus_dataset = datasets.load_dataset("NTU-NLP-sg/xCodeEval", "retrieval_corpus") ``` ## Hf large data download tricks. If you are facing long delay with data processing, add a `ignore_verifications=True`. ``` prog_synthesis_dataset = datasets.load_dataset("NTU-NLP-sg/xCodeEval", "program_synthesis", ignore_verifications=True) ``` If you are facing long delay with data downloading, use huggingface streaming mode. ``` prog_synthesis_dataset = datasets.load_dataset("NTU-NLP-sg/xCodeEval", "program_synthesis", streaming=True) ``` ## Just Give me the raw data (😠) Data can be also downloaded as a git LFS repo from huggingface. ![xCodeEval_hf](https://github.com/ntunlp/xCodeEval/blob/main/xcodeeval-hf.png?raw=true) You can download the full data using the following command. ``` GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/NTU-NLP-sg/xCodeEval cd xCodeEval git lfs pull ``` To download a specific part of the dataset, ``` GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/NTU-NLP-sg/xCodeEval cd xCodeEval git lfs pull --include "apr/test/" ``` We propose 7 Tasks. 1. [Tag Classification](https://github.com/ntunlp/xCodeEval/blob/main/apr.md) 2. [Code Compilation](https://github.com/ntunlp/xCodeEval/blob/main/code_compilation.md) 3. [Program Synthesis](https://github.com/ntunlp/xCodeEval/blob/main/program_synthesis.md) 4. [Code Translation](https://github.com/ntunlp/xCodeEval/blob/main/code_translation.md) 5. [Automatic Program Repair](https://github.com/ntunlp/xCodeEval/blob/main/apr.md) 6. [Code-Code Retrieval](https://github.com/ntunlp/xCodeEval/blob/main/retrieval.md) 7. [NL-Code Retrieval](https://github.com/ntunlp/xCodeEval/blob/main/retrieval.md) # Common Data for different tasks If you are not using huggingface [`load_dataset()`](https://huggingface.co/docs/datasets/v1.11.0/package_reference/loading_methods.html#datasets.load_dataset) api, you may need to link some data with different tasks. ![xCodeEval_fig_1](https://github.com/ntunlp/xCodeEval/blob/main/xcodeeval_fig_1.png?raw=true) We have two data files that are required for multiple tasks. 1. `problem_descriptions.jsonl` 2. `unittest_db.json` You can find these two files in the root directory of the [main](https://huggingface.co/datasets/NTU-NLP-sg/xCodeEval/tree/main) branch of huggingface dataset repository. To avoid data redundancy we didn't include these data with the relevant tasks, rather we add a unique id `src_uid` to retrieve these data. ## Structure of `problem_descriptions.jsonl` A sample, ```json { "description": "There are $$$n$$$ positive integers $$$a_1, a_2, \\dots, a_n$$$. For the one move you can choose any even value $$$c$$$ and divide by two all elements that equal $$$c$$$.For example, if $$$a=[6,8,12,6,3,12]$$$ and you choose $$$c=6$$$, and $$$a$$$ is transformed into $$$a=[3,8,12,3,3,12]$$$ after the move.You need to find the minimal number of moves for transforming $$$a$$$ to an array of only odd integers (each element shouldn't be divisible by $$$2$$$).", "input_from": "standard input", "output_to": "standard output", "time_limit": "3 seconds", "memory_limit": "256 megabytes", "input_spec": "The first line of the input contains one integer $$$t$$$ ($$$1 \\le t \\le 10^4$$$) \u2014 the number of test cases in the input. Then $$$t$$$ test cases follow. The first line of a test case contains $$$n$$$ ($$$1 \\le n \\le 2\\cdot10^5$$$) \u2014 the number of integers in the sequence $$$a$$$. The second line contains positive integers $$$a_1, a_2, \\dots, a_n$$$ ($$$1 \\le a_i \\le 10^9$$$). The sum of $$$n$$$ for all test cases in the input doesn't exceed $$$2\\cdot10^5$$$.", "output_spec": "For $$$t$$$ test cases print the answers in the order of test cases in the input. The answer for the test case is the minimal number of moves needed to make all numbers in the test case odd (i.e. not divisible by $$$2$$$).", "notes": "NoteIn the first test case of the example, the optimal sequence of moves can be as follows: before making moves $$$a=[40, 6, 40, 3, 20, 1]$$$; choose $$$c=6$$$; now $$$a=[40, 3, 40, 3, 20, 1]$$$; choose $$$c=40$$$; now $$$a=[20, 3, 20, 3, 20, 1]$$$; choose $$$c=20$$$; now $$$a=[10, 3, 10, 3, 10, 1]$$$; choose $$$c=10$$$; now $$$a=[5, 3, 5, 3, 5, 1]$$$ \u2014 all numbers are odd. Thus, all numbers became odd after $$$4$$$ moves. In $$$3$$$ or fewer moves, you cannot make them all odd.", "sample_inputs": [ "4\n6\n40 6 40 3 20 1\n1\n1024\n4\n2 4 8 16\n3\n3 1 7" ], "sample_outputs": [ "4\n10\n4\n0" ], "tags": [ "number theory", "greedy" ], "src_uid": "afcd41492158e68095b01ff1e88c3dd4", "difficulty": 1200, "created_at": 1576321500 } ``` ### Key Definitions 1. `description`: Problem description in textual format, math operations are written in latex. 2. `input_from`: How the program should take the unit test. 3. `output_to`: Where the program should output the result of the unit test. 4. `time_limit`: Time limit to solve the problem. 5. `memory_limit`: Memory limit to solve the problem. 6. `input_spec`: How and in what order the input will be given to the program? It also includes the date range, types, and sizes. 7. `output_spec`: How the outputs should be printed. Most of the time the unit test results are matched with an exact string match* or floating point comparison with a precision boundary. 8. `sample_inputs`: A sample input for the code that is expected to solve the problem described in `description`. 9. `sample_outputs`: The expected output for the `sample_input` that is expected to solve the problem described in `description`. 10. `notes`: Explanation of `sample_inputs` & `sample_outputs`. 11. `tags`: The problem categories. 12. `src_uid`: The unique id of the problem. This ID is referred to in the task data samples instead of putting all this information. 13. `difficulty`: How difficult is it to solve the problem for a human (annotated by an expert human)? 14. `created_at`: The Unix timestamp when the problem was released. Use `datetime` lib in Python to parse it to a human-readable format. ## Structure of `unittest_db.json` The structure of the `json` file, ```python unittest_db = { "db884d679d9cfb1dc4bc511f83beedda" : [ { "input": "4\r\n3 2 3 2\r\n", "output": [ "1" ], }, { ... }, ... ] "3bc096d8cd3418948d5be6bf297aa9b5":[ ... ], ... } ``` ### Key Definitions 1. `unittest_db.json` dict keys i.e., `db884d679d9cfb1dc4bc511f83beedda` are the `src_uid` from `problem_descriptions.jsonl`. 2. `input`: Input of the unit test. 3. `output`: List of expected outputs for the unit test. # Citation ``` @misc{khan2023xcodeeval, title={xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval}, author={Mohammad Abdullah Matin Khan and M Saiful Bari and Xuan Long Do and Weishi Wang and Md Rizwan Parvez and Shafiq Joty}, year={2023}, eprint={2303.03004}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```	[ -0.6757851839065552, -0.652396559715271, 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BuffetFS/BUFFET	BuffetFS	2023-08-13T06:26:30Z	258	4	[ "license:mit", "region:us" ]	null	2023-05-24T00:53:16Z	--- license: mit --- # BUFFET: Benchmarking Large Language Models for Cross-lingual Few-shot Transfer - Project page: [buffetfs.github.io/](https://buffetfs.github.io/) ([Paper](https://buffetfs.github.io/static/files/buffet_paper.pdf)) # Dataset Card for BEIR Benchmark ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) ## Dataset Description - Homepage: https://buffetfs.github.io/ - Repository: https://github.com/AkariAsai/BUFFET - Paper: https://buffetfs.github.io/static/files/buffet_paper.pdf - Point of Contact: [email protected] ### Dataset Summary <b>BUFFET</b> unifies 15 diverse NLP datasets in typologically diverse 54 languages. The list of the datasets is available below. We are currently working on Dataset summary, and will update the descriptions shortly!	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open-llm-leaderboard/details_OptimalScale__robin-13b-v2-delta	open-llm-leaderboard	2023-08-27T12:24:41Z	258	0	[ "region:us" ]	null	2023-08-17T23:52:06Z	--- pretty_name: Evaluation run of OptimalScale/robin-13b-v2-delta dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [OptimalScale/robin-13b-v2-delta](https://huggingface.co/OptimalScale/robin-13b-v2-delta)\ \ 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_OptimalScale__robin-13b-v2-delta\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-08-04T18:08:52.244101](https://huggingface.co/datasets/open-llm-leaderboard/details_OptimalScale__robin-13b-v2-delta/blob/main/results_2023-08-04T18%3A08%3A52.244101.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\": 0.48671411429389705,\n\ \ \"acc_stderr\": 0.034851524265514446,\n \"acc_norm\": 0.49073578692938213,\n\ \ \"acc_norm_stderr\": 0.03483423136146648,\n \"mc1\": 0.3378212974296206,\n\ \ \"mc1_stderr\": 0.016557167322516882,\n \"mc2\": 0.5054136576088012,\n\ \ \"mc2_stderr\": 0.014772161409527505\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.537542662116041,\n \"acc_stderr\": 0.014570144495075581,\n\ \ \"acc_norm\": 0.5656996587030717,\n \"acc_norm_stderr\": 0.014484703048857364\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.5944035052778331,\n\ \ \"acc_stderr\": 0.004900036261309047,\n \"acc_norm\": 0.8035251941844254,\n\ \ \"acc_norm_stderr\": 0.003965196368697847\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252606,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252606\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.45925925925925926,\n\ \ \"acc_stderr\": 0.04304979692464242,\n \"acc_norm\": 0.45925925925925926,\n\ \ \"acc_norm_stderr\": 0.04304979692464242\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.48026315789473684,\n \"acc_stderr\": 0.040657710025626036,\n\ \ \"acc_norm\": 0.48026315789473684,\n \"acc_norm_stderr\": 0.040657710025626036\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|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-clinical_knowledge\|5\"\ : {\n \"acc\": 0.45660377358490567,\n \"acc_stderr\": 0.030656748696739435,\n\ \ \"acc_norm\": 0.45660377358490567,\n \"acc_norm_stderr\": 0.030656748696739435\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.4652777777777778,\n\ \ \"acc_stderr\": 0.04171115858181618,\n \"acc_norm\": 0.4652777777777778,\n\ \ \"acc_norm_stderr\": 0.04171115858181618\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816507,\n \ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816507\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.37,\n\ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.43352601156069365,\n\ \ \"acc_stderr\": 0.037786210790920545,\n \"acc_norm\": 0.43352601156069365,\n\ \ \"acc_norm_stderr\": 0.037786210790920545\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.18627450980392157,\n \"acc_stderr\": 0.038739587141493524,\n\ \ \"acc_norm\": 0.18627450980392157,\n \"acc_norm_stderr\": 0.038739587141493524\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n\ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.39574468085106385,\n \"acc_stderr\": 0.031967586978353627,\n\ \ \"acc_norm\": 0.39574468085106385,\n \"acc_norm_stderr\": 0.031967586978353627\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.3157894736842105,\n\ \ \"acc_stderr\": 0.043727482902780064,\n \"acc_norm\": 0.3157894736842105,\n\ \ \"acc_norm_stderr\": 0.043727482902780064\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.4068965517241379,\n \"acc_stderr\": 0.04093793981266237,\n\ \ \"acc_norm\": 0.4068965517241379,\n \"acc_norm_stderr\": 0.04093793981266237\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.25396825396825395,\n \"acc_stderr\": 0.022418042891113946,\n \"\ acc_norm\": 0.25396825396825395,\n \"acc_norm_stderr\": 0.022418042891113946\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.31746031746031744,\n\ \ \"acc_stderr\": 0.04163453031302859,\n \"acc_norm\": 0.31746031746031744,\n\ \ \"acc_norm_stderr\": 0.04163453031302859\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\": 0.49032258064516127,\n\ \ \"acc_stderr\": 0.028438677998909558,\n \"acc_norm\": 0.49032258064516127,\n\ \ \"acc_norm_stderr\": 0.028438677998909558\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.3103448275862069,\n \"acc_stderr\": 0.032550867699701024,\n\ \ \"acc_norm\": 0.3103448275862069,\n \"acc_norm_stderr\": 0.032550867699701024\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\"\ : 0.46,\n \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.6303030303030303,\n \"acc_stderr\": 0.037694303145125674,\n\ \ \"acc_norm\": 0.6303030303030303,\n \"acc_norm_stderr\": 0.037694303145125674\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.5606060606060606,\n \"acc_stderr\": 0.03536085947529479,\n \"\ acc_norm\": 0.5606060606060606,\n \"acc_norm_stderr\": 0.03536085947529479\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.6735751295336787,\n \"acc_stderr\": 0.033840286211432945,\n\ \ \"acc_norm\": 0.6735751295336787,\n \"acc_norm_stderr\": 0.033840286211432945\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.441025641025641,\n \"acc_stderr\": 0.025174048384000756,\n \ \ \"acc_norm\": 0.441025641025641,\n \"acc_norm_stderr\": 0.025174048384000756\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.22962962962962963,\n \"acc_stderr\": 0.02564410863926762,\n \ \ \"acc_norm\": 0.22962962962962963,\n \"acc_norm_stderr\": 0.02564410863926762\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.4369747899159664,\n \"acc_stderr\": 0.03221943636566196,\n \ \ \"acc_norm\": 0.4369747899159664,\n \"acc_norm_stderr\": 0.03221943636566196\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.24503311258278146,\n \"acc_stderr\": 0.035118075718047245,\n \"\ acc_norm\": 0.24503311258278146,\n \"acc_norm_stderr\": 0.035118075718047245\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.6458715596330276,\n \"acc_stderr\": 0.02050472901382912,\n \"\ acc_norm\": 0.6458715596330276,\n \"acc_norm_stderr\": 0.02050472901382912\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.28703703703703703,\n \"acc_stderr\": 0.03085199299325701,\n \"\ acc_norm\": 0.28703703703703703,\n \"acc_norm_stderr\": 0.03085199299325701\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.6323529411764706,\n \"acc_stderr\": 0.03384132045674118,\n \"\ acc_norm\": 0.6323529411764706,\n \"acc_norm_stderr\": 0.03384132045674118\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7172995780590717,\n \"acc_stderr\": 0.029312814153955924,\n \ \ \"acc_norm\": 0.7172995780590717,\n \"acc_norm_stderr\": 0.029312814153955924\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.5695067264573991,\n\ \ \"acc_stderr\": 0.0332319730294294,\n \"acc_norm\": 0.5695067264573991,\n\ \ \"acc_norm_stderr\": 0.0332319730294294\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.5954198473282443,\n \"acc_stderr\": 0.043046937953806645,\n\ \ \"acc_norm\": 0.5954198473282443,\n \"acc_norm_stderr\": 0.043046937953806645\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7024793388429752,\n \"acc_stderr\": 0.04173349148083499,\n \"\ acc_norm\": 0.7024793388429752,\n \"acc_norm_stderr\": 0.04173349148083499\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.5833333333333334,\n\ \ \"acc_stderr\": 0.04766075165356461,\n \"acc_norm\": 0.5833333333333334,\n\ \ \"acc_norm_stderr\": 0.04766075165356461\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.5828220858895705,\n \"acc_stderr\": 0.038741028598180814,\n\ \ \"acc_norm\": 0.5828220858895705,\n \"acc_norm_stderr\": 0.038741028598180814\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.04745789978762494,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.04745789978762494\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.6310679611650486,\n \"acc_stderr\": 0.0477761518115674,\n\ \ \"acc_norm\": 0.6310679611650486,\n \"acc_norm_stderr\": 0.0477761518115674\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.7521367521367521,\n\ \ \"acc_stderr\": 0.028286324075564397,\n \"acc_norm\": 0.7521367521367521,\n\ \ \"acc_norm_stderr\": 0.028286324075564397\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.55,\n \"acc_stderr\": 0.04999999999999999,\n \ \ \"acc_norm\": 0.55,\n \"acc_norm_stderr\": 0.04999999999999999\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.6845466155810983,\n\ \ \"acc_stderr\": 0.016617501738763394,\n \"acc_norm\": 0.6845466155810983,\n\ \ \"acc_norm_stderr\": 0.016617501738763394\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.4884393063583815,\n \"acc_stderr\": 0.02691189868637792,\n\ \ \"acc_norm\": 0.4884393063583815,\n \"acc_norm_stderr\": 0.02691189868637792\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.24916201117318434,\n\ \ \"acc_stderr\": 0.014465893829859926,\n \"acc_norm\": 0.24916201117318434,\n\ \ \"acc_norm_stderr\": 0.014465893829859926\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.5163398692810458,\n \"acc_stderr\": 0.02861462475280544,\n\ \ \"acc_norm\": 0.5163398692810458,\n \"acc_norm_stderr\": 0.02861462475280544\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.5305466237942122,\n\ \ \"acc_stderr\": 0.02834504586484061,\n \"acc_norm\": 0.5305466237942122,\n\ \ \"acc_norm_stderr\": 0.02834504586484061\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.5462962962962963,\n \"acc_stderr\": 0.027701228468542595,\n\ \ \"acc_norm\": 0.5462962962962963,\n \"acc_norm_stderr\": 0.027701228468542595\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.36879432624113473,\n \"acc_stderr\": 0.028782227561347247,\n \ \ \"acc_norm\": 0.36879432624113473,\n \"acc_norm_stderr\": 0.028782227561347247\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4172099087353325,\n\ \ \"acc_stderr\": 0.012593959992906424,\n \"acc_norm\": 0.4172099087353325,\n\ \ \"acc_norm_stderr\": 0.012593959992906424\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.5036764705882353,\n \"acc_stderr\": 0.0303720158854282,\n\ \ \"acc_norm\": 0.5036764705882353,\n \"acc_norm_stderr\": 0.0303720158854282\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.4869281045751634,\n \"acc_stderr\": 0.020220920829626923,\n \ \ \"acc_norm\": 0.4869281045751634,\n \"acc_norm_stderr\": 0.020220920829626923\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.5636363636363636,\n\ \ \"acc_stderr\": 0.04750185058907296,\n \"acc_norm\": 0.5636363636363636,\n\ \ \"acc_norm_stderr\": 0.04750185058907296\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.5551020408163265,\n \"acc_stderr\": 0.031814251181977865,\n\ \ \"acc_norm\": 0.5551020408163265,\n \"acc_norm_stderr\": 0.031814251181977865\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.6517412935323383,\n\ \ \"acc_stderr\": 0.03368787466115459,\n \"acc_norm\": 0.6517412935323383,\n\ \ \"acc_norm_stderr\": 0.03368787466115459\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.77,\n \"acc_stderr\": 0.04229525846816508,\n \ \ \"acc_norm\": 0.77,\n \"acc_norm_stderr\": 0.04229525846816508\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.45180722891566266,\n\ \ \"acc_stderr\": 0.038743715565879536,\n \"acc_norm\": 0.45180722891566266,\n\ \ \"acc_norm_stderr\": 0.038743715565879536\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.7017543859649122,\n \"acc_stderr\": 0.035087719298245626,\n\ \ \"acc_norm\": 0.7017543859649122,\n \"acc_norm_stderr\": 0.035087719298245626\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.3378212974296206,\n\ \ \"mc1_stderr\": 0.016557167322516882,\n \"mc2\": 0.5054136576088012,\n\ \ \"mc2_stderr\": 0.014772161409527505\n }\n}\n```" repo_url: https://huggingface.co/OptimalScale/robin-13b-v2-delta leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|arc:challenge\|25_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hellaswag\|10_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-04T18:08:52.244101.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-04T18:08:52.244101.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_04T18_08_52.244101 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-04T18:08:52.244101.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-04T18:08:52.244101.parquet' - config_name: results data_files: - split: 2023_08_04T18_08_52.244101 path: - results_2023-08-04T18:08:52.244101.parquet - split: latest path: - results_2023-08-04T18:08:52.244101.parquet --- # Dataset Card for Evaluation run of OptimalScale/robin-13b-v2-delta ## Dataset Description - Homepage: - Repository: https://huggingface.co/OptimalScale/robin-13b-v2-delta - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: [email protected] ### Dataset Summary Dataset automatically created during the evaluation run of model [OptimalScale/robin-13b-v2-delta](https://huggingface.co/OptimalScale/robin-13b-v2-delta) 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_OptimalScale__robin-13b-v2-delta", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-08-04T18:08:52.244101](https://huggingface.co/datasets/open-llm-leaderboard/details_OptimalScale__robin-13b-v2-delta/blob/main/results_2023-08-04T18%3A08%3A52.244101.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": 0.48671411429389705, "acc_stderr": 0.034851524265514446, "acc_norm": 0.49073578692938213, "acc_norm_stderr": 0.03483423136146648, "mc1": 0.3378212974296206, "mc1_stderr": 0.016557167322516882, "mc2": 0.5054136576088012, "mc2_stderr": 0.014772161409527505 }, "harness\|arc:challenge\|25": { "acc": 0.537542662116041, "acc_stderr": 0.014570144495075581, "acc_norm": 0.5656996587030717, "acc_norm_stderr": 0.014484703048857364 }, "harness\|hellaswag\|10": { "acc": 0.5944035052778331, "acc_stderr": 0.004900036261309047, "acc_norm": 0.8035251941844254, "acc_norm_stderr": 0.003965196368697847 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.33, "acc_stderr": 0.04725815626252606, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252606 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.45925925925925926, "acc_stderr": 0.04304979692464242, "acc_norm": 0.45925925925925926, "acc_norm_stderr": 0.04304979692464242 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.48026315789473684, "acc_stderr": 0.040657710025626036, "acc_norm": 0.48026315789473684, "acc_norm_stderr": 0.040657710025626036 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.45660377358490567, "acc_stderr": 0.030656748696739435, "acc_norm": 0.45660377358490567, "acc_norm_stderr": 0.030656748696739435 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.4652777777777778, "acc_stderr": 0.04171115858181618, "acc_norm": 0.4652777777777778, "acc_norm_stderr": 0.04171115858181618 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.23, "acc_stderr": 0.04229525846816507, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816507 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.43352601156069365, "acc_stderr": 0.037786210790920545, "acc_norm": 0.43352601156069365, "acc_norm_stderr": 0.037786210790920545 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.18627450980392157, "acc_stderr": 0.038739587141493524, "acc_norm": 0.18627450980392157, "acc_norm_stderr": 0.038739587141493524 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.39574468085106385, "acc_stderr": 0.031967586978353627, "acc_norm": 0.39574468085106385, "acc_norm_stderr": 0.031967586978353627 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.3157894736842105, "acc_stderr": 0.043727482902780064, "acc_norm": 0.3157894736842105, "acc_norm_stderr": 0.043727482902780064 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.4068965517241379, "acc_stderr": 0.04093793981266237, "acc_norm": 0.4068965517241379, "acc_norm_stderr": 0.04093793981266237 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.25396825396825395, "acc_stderr": 0.022418042891113946, "acc_norm": 0.25396825396825395, "acc_norm_stderr": 0.022418042891113946 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.31746031746031744, "acc_stderr": 0.04163453031302859, "acc_norm": 0.31746031746031744, "acc_norm_stderr": 0.04163453031302859 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.49032258064516127, "acc_stderr": 0.028438677998909558, "acc_norm": 0.49032258064516127, "acc_norm_stderr": 0.028438677998909558 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.3103448275862069, "acc_stderr": 0.032550867699701024, "acc_norm": 0.3103448275862069, "acc_norm_stderr": 0.032550867699701024 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.6303030303030303, "acc_stderr": 0.037694303145125674, "acc_norm": 0.6303030303030303, "acc_norm_stderr": 0.037694303145125674 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.5606060606060606, "acc_stderr": 0.03536085947529479, "acc_norm": 0.5606060606060606, "acc_norm_stderr": 0.03536085947529479 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.6735751295336787, "acc_stderr": 0.033840286211432945, "acc_norm": 0.6735751295336787, "acc_norm_stderr": 0.033840286211432945 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.441025641025641, "acc_stderr": 0.025174048384000756, "acc_norm": 0.441025641025641, "acc_norm_stderr": 0.025174048384000756 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.22962962962962963, "acc_stderr": 0.02564410863926762, "acc_norm": 0.22962962962962963, "acc_norm_stderr": 0.02564410863926762 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.4369747899159664, "acc_stderr": 0.03221943636566196, "acc_norm": 0.4369747899159664, "acc_norm_stderr": 0.03221943636566196 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.24503311258278146, "acc_stderr": 0.035118075718047245, "acc_norm": 0.24503311258278146, "acc_norm_stderr": 0.035118075718047245 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.6458715596330276, "acc_stderr": 0.02050472901382912, "acc_norm": 0.6458715596330276, "acc_norm_stderr": 0.02050472901382912 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.28703703703703703, "acc_stderr": 0.03085199299325701, "acc_norm": 0.28703703703703703, "acc_norm_stderr": 0.03085199299325701 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.6323529411764706, "acc_stderr": 0.03384132045674118, "acc_norm": 0.6323529411764706, "acc_norm_stderr": 0.03384132045674118 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7172995780590717, "acc_stderr": 0.029312814153955924, "acc_norm": 0.7172995780590717, "acc_norm_stderr": 0.029312814153955924 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.5695067264573991, "acc_stderr": 0.0332319730294294, "acc_norm": 0.5695067264573991, "acc_norm_stderr": 0.0332319730294294 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.5954198473282443, "acc_stderr": 0.043046937953806645, "acc_norm": 0.5954198473282443, "acc_norm_stderr": 0.043046937953806645 }, "harness\|hendrycksTest-international_law\|5": { "acc": 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"acc_stderr": 0.035087719298245626, "acc_norm": 0.7017543859649122, "acc_norm_stderr": 0.035087719298245626 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.3378212974296206, "mc1_stderr": 0.016557167322516882, "mc2": 0.5054136576088012, "mc2_stderr": 0.014772161409527505 } } ``` ### 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]	[ -0.7777442932128906, -0.8850175142288208, 0.30514881014823914, 0.1885862499475479, -0.15861861407756805, -0.07669694721698761, 0.0035962718538939953, -0.21028943359851837, 0.5895960330963135, -0.08941179513931274, -0.5299129486083984, -0.6640483736991882, -0.44374197721481323, 0.24040283262729645, -0.027753649279475212, 0.809789776802063, -0.14961464703083038, -0.14069657027721405, 0.11003846675157547, -0.038569048047065735, -0.23379817605018616, -0.29407018423080444, 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open-llm-leaderboard/details_psmathur__test_42_70b	open-llm-leaderboard	2023-12-01T14:32:59Z	258	0	[ "region:us" ]	null	2023-08-18T00:17:09Z	--- pretty_name: Evaluation run of psmathur/test_42_70b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [psmathur/test_42_70b](https://huggingface.co/psmathur/test_42_70b) on the [Open\ \ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 3 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_psmathur__test_42_70b_public\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-11-07T08:14:38.218715](https://huggingface.co/datasets/open-llm-leaderboard/details_psmathur__test_42_70b_public/blob/main/results_2023-11-07T08-14-38.218715.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.08095637583892618,\n\ \ \"em_stderr\": 0.0027934007378494835,\n \"f1\": 0.14089450503355697,\n\ \ \"f1_stderr\": 0.002922494704077647,\n \"acc\": 0.6480304552550813,\n\ \ \"acc_stderr\": 0.012058894490351774\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.08095637583892618,\n \"em_stderr\": 0.0027934007378494835,\n\ \ \"f1\": 0.14089450503355697,\n \"f1_stderr\": 0.002922494704077647\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.45943896891584535,\n \ \ \"acc_stderr\": 0.013727093010429786\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8366219415943172,\n \"acc_stderr\": 0.01039069597027376\n\ \ }\n}\n```" repo_url: https://huggingface.co/psmathur/test_42_70b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_drop_3 data_files: - split: 2023_11_05T10_37_53.854467 path: - '/details_harness\|drop\|3_2023-11-05T10-37-53.854467.parquet' - split: 2023_11_07T08_14_38.218715 path: - '/details_harness\|drop\|3_2023-11-07T08-14-38.218715.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-11-07T08-14-38.218715.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_11_05T10_37_53.854467 path: - '/details_harness\|gsm8k\|5_2023-11-05T10-37-53.854467.parquet' - split: 2023_11_07T08_14_38.218715 path: - '/details_harness\|gsm8k\|5_2023-11-07T08-14-38.218715.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-11-07T08-14-38.218715.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_11_05T10_37_53.854467 path: - '/details_harness\|winogrande\|5_2023-11-05T10-37-53.854467.parquet' - split: 2023_11_07T08_14_38.218715 path: - '/details_harness\|winogrande\|5_2023-11-07T08-14-38.218715.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-11-07T08-14-38.218715.parquet' - config_name: results data_files: - split: 2023_11_05T10_37_53.854467 path: - results_2023-11-05T10-37-53.854467.parquet - split: 2023_11_07T08_14_38.218715 path: - results_2023-11-07T08-14-38.218715.parquet - split: latest path: - results_2023-11-07T08-14-38.218715.parquet --- # Dataset Card for Evaluation run of psmathur/test_42_70b ## Dataset Description - Homepage: - Repository: https://huggingface.co/psmathur/test_42_70b - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact:** [email protected] ### Dataset Summary Dataset automatically created during the evaluation run of model [psmathur/test_42_70b](https://huggingface.co/psmathur/test_42_70b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 3 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_psmathur__test_42_70b_public", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-11-07T08:14:38.218715](https://huggingface.co/datasets/open-llm-leaderboard/details_psmathur__test_42_70b_public/blob/main/results_2023-11-07T08-14-38.218715.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.08095637583892618, "em_stderr": 0.0027934007378494835, "f1": 0.14089450503355697, "f1_stderr": 0.002922494704077647, "acc": 0.6480304552550813, "acc_stderr": 0.012058894490351774 }, "harness\|drop\|3": { "em": 0.08095637583892618, "em_stderr": 0.0027934007378494835, "f1": 0.14089450503355697, "f1_stderr": 0.002922494704077647 }, "harness\|gsm8k\|5": { "acc": 0.45943896891584535, "acc_stderr": 0.013727093010429786 }, "harness\|winogrande\|5": { "acc": 0.8366219415943172, "acc_stderr": 0.01039069597027376 } } ``` ### 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]	[ -0.4270080029964447, -0.6229260563850403, 0.23250077664852142, 0.23264743387699127, -0.2819960117340088, 0.16550840437412262, -0.37590357661247253, -0.03442108631134033, 0.37046876549720764, 0.5000817775726318, -0.7285363078117371, -0.8623888492584229, -0.7032333016395569, 0.22006544470787048, -0.11624259501695633, 1.1739115715026855, -0.3632051646709442, -0.1590384691953659, -0.005160273518413305, -0.26948946714401245, -0.15245482325553894, -0.4759208559989929, -0.38719749450683594, 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open-llm-leaderboard/details_ddobokki__Llama-2-70b-orca-200k	open-llm-leaderboard	2023-08-27T12:31:09Z	258	0	[ "region:us" ]	null	2023-08-18T11:11:52Z	--- pretty_name: Evaluation run of ddobokki/Llama-2-70b-orca-200k dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ddobokki/Llama-2-70b-orca-200k](https://huggingface.co/ddobokki/Llama-2-70b-orca-200k)\ \ 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_ddobokki__Llama-2-70b-orca-200k\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-08-09T20:21:28.711089](https://huggingface.co/datasets/open-llm-leaderboard/details_ddobokki__Llama-2-70b-orca-200k/blob/main/results_2023-08-09T20%3A21%3A28.711089.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\": 0.6675525003199225,\n\ \ \"acc_stderr\": 0.0320256356518761,\n \"acc_norm\": 0.6716808545277895,\n\ \ \"acc_norm_stderr\": 0.03199912887877205,\n \"mc1\": 0.408812729498164,\n\ \ \"mc1_stderr\": 0.01720995215164173,\n \"mc2\": 0.5618014117500216,\n\ \ \"mc2_stderr\": 0.015000194909320638\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5989761092150171,\n \"acc_stderr\": 0.014322255790719867,\n\ \ \"acc_norm\": 0.6484641638225256,\n \"acc_norm_stderr\": 0.013952413699600935\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6584345747858992,\n\ \ \"acc_stderr\": 0.004732654295724444,\n \"acc_norm\": 0.8525194184425413,\n\ \ \"acc_norm_stderr\": 0.0035385967737048313\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \ \ },\n \"harness\|hendrycksTest-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\": 0.7697368421052632,\n \"acc_stderr\": 0.03426059424403165,\n\ \ \"acc_norm\": 0.7697368421052632,\n \"acc_norm_stderr\": 0.03426059424403165\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.71,\n\ \ \"acc_stderr\": 0.04560480215720684,\n \"acc_norm\": 0.71,\n \ \ \"acc_norm_stderr\": 0.04560480215720684\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6981132075471698,\n \"acc_stderr\": 0.02825420034443866,\n\ \ \"acc_norm\": 0.6981132075471698,\n \"acc_norm_stderr\": 0.02825420034443866\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7847222222222222,\n\ \ \"acc_stderr\": 0.034370793441061344,\n \"acc_norm\": 0.7847222222222222,\n\ \ \"acc_norm_stderr\": 0.034370793441061344\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.45,\n \"acc_stderr\": 0.04999999999999999,\n \ \ \"acc_norm\": 0.45,\n \"acc_norm_stderr\": 0.04999999999999999\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\": 0.57,\n\ \ \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6127167630057804,\n\ \ \"acc_stderr\": 0.037143259063020656,\n \"acc_norm\": 0.6127167630057804,\n\ \ \"acc_norm_stderr\": 0.037143259063020656\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.3431372549019608,\n \"acc_stderr\": 0.04724007352383888,\n\ \ \"acc_norm\": 0.3431372549019608,\n \"acc_norm_stderr\": 0.04724007352383888\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \"acc_norm\": 0.74,\n\ \ \"acc_norm_stderr\": 0.04408440022768078\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.6127659574468085,\n \"acc_stderr\": 0.03184389265339526,\n\ \ \"acc_norm\": 0.6127659574468085,\n \"acc_norm_stderr\": 0.03184389265339526\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4298245614035088,\n\ \ \"acc_stderr\": 0.04657047260594962,\n \"acc_norm\": 0.4298245614035088,\n\ \ \"acc_norm_stderr\": 0.04657047260594962\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.593103448275862,\n \"acc_stderr\": 0.04093793981266236,\n\ \ \"acc_norm\": 0.593103448275862,\n \"acc_norm_stderr\": 0.04093793981266236\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.41534391534391535,\n \"acc_stderr\": 0.025379524910778408,\n \"\ acc_norm\": 0.41534391534391535,\n \"acc_norm_stderr\": 0.025379524910778408\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.4365079365079365,\n\ \ \"acc_stderr\": 0.04435932892851466,\n \"acc_norm\": 0.4365079365079365,\n\ \ \"acc_norm_stderr\": 0.04435932892851466\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \ \ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.049756985195624284\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\"\ : 0.5123152709359606,\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\": 0.72,\n \"acc_stderr\": 0.04512608598542127,\n \"acc_norm\"\ : 0.72,\n \"acc_norm_stderr\": 0.04512608598542127\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\"\ : 0.8636363636363636,\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\": 0.9067357512953368,\n \"acc_stderr\": 0.0209868545932897,\n\ \ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.0209868545932897\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6820512820512821,\n \"acc_stderr\": 0.02361088430892786,\n \ \ \"acc_norm\": 0.6820512820512821,\n \"acc_norm_stderr\": 0.02361088430892786\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.35555555555555557,\n \"acc_stderr\": 0.02918571494985741,\n \ \ \"acc_norm\": 0.35555555555555557,\n \"acc_norm_stderr\": 0.02918571494985741\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.7142857142857143,\n \"acc_stderr\": 0.029344572500634335,\n\ \ \"acc_norm\": 0.7142857142857143,\n \"acc_norm_stderr\": 0.029344572500634335\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.40397350993377484,\n \"acc_stderr\": 0.04006485685365343,\n \"\ acc_norm\": 0.40397350993377484,\n \"acc_norm_stderr\": 0.04006485685365343\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8568807339449541,\n \"acc_stderr\": 0.015014462497168585,\n \"\ acc_norm\": 0.8568807339449541,\n \"acc_norm_stderr\": 0.015014462497168585\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5416666666666666,\n \"acc_stderr\": 0.03398110890294636,\n \"\ acc_norm\": 0.5416666666666666,\n \"acc_norm_stderr\": 0.03398110890294636\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.8725490196078431,\n \"acc_stderr\": 0.023405530480846315,\n \"\ acc_norm\": 0.8725490196078431,\n \"acc_norm_stderr\": 0.023405530480846315\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8523206751054853,\n \"acc_stderr\": 0.0230943295825957,\n \ \ \"acc_norm\": 0.8523206751054853,\n \"acc_norm_stderr\": 0.0230943295825957\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.7488789237668162,\n\ \ \"acc_stderr\": 0.02910522083322462,\n \"acc_norm\": 0.7488789237668162,\n\ \ \"acc_norm_stderr\": 0.02910522083322462\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7938931297709924,\n \"acc_stderr\": 0.03547771004159465,\n\ \ \"acc_norm\": 0.7938931297709924,\n \"acc_norm_stderr\": 0.03547771004159465\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8760330578512396,\n \"acc_stderr\": 0.030083098716035206,\n \"\ acc_norm\": 0.8760330578512396,\n \"acc_norm_stderr\": 0.030083098716035206\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8333333333333334,\n\ \ \"acc_stderr\": 0.036028141763926456,\n \"acc_norm\": 0.8333333333333334,\n\ \ \"acc_norm_stderr\": 0.036028141763926456\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7852760736196319,\n \"acc_stderr\": 0.03226219377286775,\n\ \ \"acc_norm\": 0.7852760736196319,\n \"acc_norm_stderr\": 0.03226219377286775\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.4732142857142857,\n\ \ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.4732142857142857,\n\ \ \"acc_norm_stderr\": 0.047389751192741546\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\": 0.9017094017094017,\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\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.859514687100894,\n\ \ \"acc_stderr\": 0.012426211353093438,\n \"acc_norm\": 0.859514687100894,\n\ \ \"acc_norm_stderr\": 0.012426211353093438\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7745664739884393,\n \"acc_stderr\": 0.022497230190967558,\n\ \ \"acc_norm\": 0.7745664739884393,\n \"acc_norm_stderr\": 0.022497230190967558\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.5363128491620112,\n\ \ \"acc_stderr\": 0.016678341894533162,\n \"acc_norm\": 0.5363128491620112,\n\ \ \"acc_norm_stderr\": 0.016678341894533162\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6895424836601307,\n \"acc_stderr\": 0.026493033225145898,\n\ \ \"acc_norm\": 0.6895424836601307,\n \"acc_norm_stderr\": 0.026493033225145898\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7395498392282959,\n\ \ \"acc_stderr\": 0.02492672322484554,\n \"acc_norm\": 0.7395498392282959,\n\ \ \"acc_norm_stderr\": 0.02492672322484554\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7685185185185185,\n \"acc_stderr\": 0.023468429832451152,\n\ \ \"acc_norm\": 0.7685185185185185,\n \"acc_norm_stderr\": 0.023468429832451152\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.48936170212765956,\n \"acc_stderr\": 0.029820747191422473,\n \ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.029820747191422473\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.5084745762711864,\n\ \ \"acc_stderr\": 0.012768401697269048,\n \"acc_norm\": 0.5084745762711864,\n\ \ \"acc_norm_stderr\": 0.012768401697269048\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6838235294117647,\n \"acc_stderr\": 0.02824568739146292,\n\ \ \"acc_norm\": 0.6838235294117647,\n \"acc_norm_stderr\": 0.02824568739146292\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.7075163398692811,\n \"acc_stderr\": 0.018403415710109793,\n \ \ \"acc_norm\": 0.7075163398692811,\n \"acc_norm_stderr\": 0.018403415710109793\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\": 0.763265306122449,\n \"acc_stderr\": 0.027212835884073153,\n\ \ \"acc_norm\": 0.763265306122449,\n \"acc_norm_stderr\": 0.027212835884073153\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8557213930348259,\n\ \ \"acc_stderr\": 0.024845753212306042,\n \"acc_norm\": 0.8557213930348259,\n\ \ \"acc_norm_stderr\": 0.024845753212306042\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.035887028128263686,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.035887028128263686\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5120481927710844,\n\ \ \"acc_stderr\": 0.03891364495835817,\n \"acc_norm\": 0.5120481927710844,\n\ \ \"acc_norm_stderr\": 0.03891364495835817\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.847953216374269,\n \"acc_stderr\": 0.027539122889061445,\n\ \ \"acc_norm\": 0.847953216374269,\n \"acc_norm_stderr\": 0.027539122889061445\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.408812729498164,\n\ \ \"mc1_stderr\": 0.01720995215164173,\n \"mc2\": 0.5618014117500216,\n\ \ \"mc2_stderr\": 0.015000194909320638\n }\n}\n```" repo_url: https://huggingface.co/ddobokki/Llama-2-70b-orca-200k leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|arc:challenge\|25_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hellaswag\|10_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T20:21:28.711089.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T20:21:28.711089.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_09T20_21_28.711089 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-09T20:21:28.711089.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-09T20:21:28.711089.parquet' - config_name: results data_files: - split: 2023_08_09T20_21_28.711089 path: - results_2023-08-09T20:21:28.711089.parquet - split: latest path: - results_2023-08-09T20:21:28.711089.parquet --- # Dataset Card for Evaluation run of ddobokki/Llama-2-70b-orca-200k ## Dataset Description - Homepage: - Repository: https://huggingface.co/ddobokki/Llama-2-70b-orca-200k - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: [email protected] ### Dataset Summary Dataset automatically created during the evaluation run of model [ddobokki/Llama-2-70b-orca-200k](https://huggingface.co/ddobokki/Llama-2-70b-orca-200k) 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_ddobokki__Llama-2-70b-orca-200k", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-08-09T20:21:28.711089](https://huggingface.co/datasets/open-llm-leaderboard/details_ddobokki__Llama-2-70b-orca-200k/blob/main/results_2023-08-09T20%3A21%3A28.711089.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": 0.6675525003199225, "acc_stderr": 0.0320256356518761, "acc_norm": 0.6716808545277895, "acc_norm_stderr": 0.03199912887877205, "mc1": 0.408812729498164, "mc1_stderr": 0.01720995215164173, "mc2": 0.5618014117500216, "mc2_stderr": 0.015000194909320638 }, "harness\|arc:challenge\|25": { "acc": 0.5989761092150171, "acc_stderr": 0.014322255790719867, "acc_norm": 0.6484641638225256, "acc_norm_stderr": 0.013952413699600935 }, "harness\|hellaswag\|10": { "acc": 0.6584345747858992, "acc_stderr": 0.004732654295724444, "acc_norm": 0.8525194184425413, "acc_norm_stderr": 0.0035385967737048313 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "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": 0.7697368421052632, "acc_stderr": 0.03426059424403165, "acc_norm": 0.7697368421052632, "acc_norm_stderr": 0.03426059424403165 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.71, "acc_stderr": 0.04560480215720684, "acc_norm": 0.71, "acc_norm_stderr": 0.04560480215720684 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6981132075471698, "acc_stderr": 0.02825420034443866, "acc_norm": 0.6981132075471698, "acc_norm_stderr": 0.02825420034443866 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7847222222222222, "acc_stderr": 0.034370793441061344, "acc_norm": 0.7847222222222222, "acc_norm_stderr": 0.034370793441061344 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.45, "acc_stderr": 0.04999999999999999, "acc_norm": 0.45, "acc_norm_stderr": 0.04999999999999999 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6127167630057804, "acc_stderr": 0.037143259063020656, "acc_norm": 0.6127167630057804, "acc_norm_stderr": 0.037143259063020656 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.3431372549019608, "acc_stderr": 0.04724007352383888, "acc_norm": 0.3431372549019608, "acc_norm_stderr": 0.04724007352383888 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.6127659574468085, "acc_stderr": 0.03184389265339526, "acc_norm": 0.6127659574468085, "acc_norm_stderr": 0.03184389265339526 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4298245614035088, "acc_stderr": 0.04657047260594962, "acc_norm": 0.4298245614035088, "acc_norm_stderr": 0.04657047260594962 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.593103448275862, "acc_stderr": 0.04093793981266236, "acc_norm": 0.593103448275862, "acc_norm_stderr": 0.04093793981266236 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.41534391534391535, "acc_stderr": 0.025379524910778408, "acc_norm": 0.41534391534391535, "acc_norm_stderr": 0.025379524910778408 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.4365079365079365, "acc_stderr": 0.04435932892851466, "acc_norm": 0.4365079365079365, "acc_norm_stderr": 0.04435932892851466 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "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": 0.5123152709359606, "acc_stderr": 0.035169204442208966, "acc_norm": 0.5123152709359606, "acc_norm_stderr": 0.035169204442208966 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.72, "acc_stderr": 0.04512608598542127, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542127 }, "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": 0.8636363636363636, "acc_stderr": 0.024450155973189835, "acc_norm": 0.8636363636363636, "acc_norm_stderr": 0.024450155973189835 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9067357512953368, "acc_stderr": 0.0209868545932897, "acc_norm": 0.9067357512953368, "acc_norm_stderr": 0.0209868545932897 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6820512820512821, "acc_stderr": 0.02361088430892786, "acc_norm": 0.6820512820512821, "acc_norm_stderr": 0.02361088430892786 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.35555555555555557, "acc_stderr": 0.02918571494985741, "acc_norm": 0.35555555555555557, "acc_norm_stderr": 0.02918571494985741 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.7142857142857143, "acc_stderr": 0.029344572500634335, "acc_norm": 0.7142857142857143, "acc_norm_stderr": 0.029344572500634335 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.40397350993377484, "acc_stderr": 0.04006485685365343, "acc_norm": 0.40397350993377484, "acc_norm_stderr": 0.04006485685365343 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8568807339449541, "acc_stderr": 0.015014462497168585, "acc_norm": 0.8568807339449541, "acc_norm_stderr": 0.015014462497168585 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5416666666666666, "acc_stderr": 0.03398110890294636, "acc_norm": 0.5416666666666666, "acc_norm_stderr": 0.03398110890294636 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8725490196078431, "acc_stderr": 0.023405530480846315, "acc_norm": 0.8725490196078431, "acc_norm_stderr": 0.023405530480846315 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8523206751054853, "acc_stderr": 0.0230943295825957, "acc_norm": 0.8523206751054853, "acc_norm_stderr": 0.0230943295825957 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.7488789237668162, "acc_stderr": 0.02910522083322462, "acc_norm": 0.7488789237668162, "acc_norm_stderr": 0.02910522083322462 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7938931297709924, "acc_stderr": 0.03547771004159465, "acc_norm": 0.7938931297709924, "acc_norm_stderr": 0.03547771004159465 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8760330578512396, "acc_stderr": 0.030083098716035206, "acc_norm": 0.8760330578512396, "acc_norm_stderr": 0.030083098716035206 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8333333333333334, "acc_stderr": 0.036028141763926456, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.036028141763926456 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7852760736196319, "acc_stderr": 0.03226219377286775, "acc_norm": 0.7852760736196319, "acc_norm_stderr": 0.03226219377286775 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.4732142857142857, "acc_stderr": 0.047389751192741546, "acc_norm": 0.4732142857142857, "acc_norm_stderr": 0.047389751192741546 }, "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": 0.9017094017094017, "acc_stderr": 0.019503444900757567, "acc_norm": 0.9017094017094017, 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0.847953216374269, "acc_stderr": 0.027539122889061445, "acc_norm": 0.847953216374269, "acc_norm_stderr": 0.027539122889061445 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.408812729498164, "mc1_stderr": 0.01720995215164173, "mc2": 0.5618014117500216, "mc2_stderr": 0.015000194909320638 } } ``` ### 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]	[ -0.7199268341064453, -0.8711280822753906, 0.2918030917644501, 0.2103056162595749, -0.19654041528701782, -0.03712371364235878, 0.04899125546216965, -0.2463788241147995, 0.5931147933006287, -0.048113930970430374, -0.496171772480011, -0.7007255554199219, -0.44519326090812683, 0.27337607741355896, -0.01921149156987667, 0.8341597318649292, -0.19960570335388184, -0.13598698377609253, 0.10533225536346436, -0.016786770895123482, -0.28139370679855347, -0.33177363872528076, -0.4959908723831177, 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open-llm-leaderboard/details_nicholasKluge__Aira-Instruct-355M	open-llm-leaderboard	2023-08-27T12:31:59Z	258	0	[ "region:us" ]	null	2023-08-18T11:16:30Z	--- pretty_name: Evaluation run of nicholasKluge/Aira-Instruct-355M dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [nicholasKluge/Aira-Instruct-355M](https://huggingface.co/nicholasKluge/Aira-Instruct-355M)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_nicholasKluge__Aira-Instruct-355M\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-08-10T09:16:32.685819](https://huggingface.co/datasets/open-llm-leaderboard/details_nicholasKluge__Aira-Instruct-355M/blob/main/results_2023-08-10T09%3A16%3A32.685819.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\": 0.26193708195623533,\n\ \ \"acc_stderr\": 0.03182336083684077,\n \"acc_norm\": 0.263783264473725,\n\ \ \"acc_norm_stderr\": 0.03183912280555913,\n \"mc1\": 0.2484700122399021,\n\ \ \"mc1_stderr\": 0.015127427096520674,\n \"mc2\": 0.4107912986493598,\n\ \ \"mc2_stderr\": 0.014545912502288488\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.23890784982935154,\n \"acc_stderr\": 0.012461071376316621,\n\ \ \"acc_norm\": 0.28668941979522183,\n \"acc_norm_stderr\": 0.013214986329274765\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.3311093407687712,\n\ \ \"acc_stderr\": 0.004696505101217406,\n \"acc_norm\": 0.39225253933479387,\n\ \ \"acc_norm_stderr\": 0.004872546302641832\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847415,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847415\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.04072314811876837,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.04072314811876837\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.23026315789473684,\n \"acc_stderr\": 0.034260594244031654,\n\ \ \"acc_norm\": 0.23026315789473684,\n \"acc_norm_stderr\": 0.034260594244031654\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.23,\n\ \ \"acc_stderr\": 0.04229525846816506,\n \"acc_norm\": 0.23,\n \ \ \"acc_norm_stderr\": 0.04229525846816506\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.27169811320754716,\n \"acc_stderr\": 0.027377706624670716,\n\ \ \"acc_norm\": 0.27169811320754716,\n \"acc_norm_stderr\": 0.027377706624670716\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.2569444444444444,\n\ \ \"acc_stderr\": 0.03653946969442099,\n \"acc_norm\": 0.2569444444444444,\n\ \ \"acc_norm_stderr\": 0.03653946969442099\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.18,\n \"acc_stderr\": 0.03861229196653694,\n \ \ \"acc_norm\": 0.18,\n \"acc_norm_stderr\": 0.03861229196653694\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.36,\n\ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \ \ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.2543352601156069,\n\ \ \"acc_stderr\": 0.0332055644308557,\n \"acc_norm\": 0.2543352601156069,\n\ \ \"acc_norm_stderr\": 0.0332055644308557\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.20588235294117646,\n \"acc_stderr\": 0.04023382273617747,\n\ \ \"acc_norm\": 0.20588235294117646,\n \"acc_norm_stderr\": 0.04023382273617747\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.31,\n\ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.225531914893617,\n \"acc_stderr\": 0.027321078417387536,\n\ \ \"acc_norm\": 0.225531914893617,\n \"acc_norm_stderr\": 0.027321078417387536\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.21052631578947367,\n\ \ \"acc_stderr\": 0.0383515395439942,\n \"acc_norm\": 0.21052631578947367,\n\ \ \"acc_norm_stderr\": 0.0383515395439942\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.25517241379310346,\n \"acc_stderr\": 0.03632984052707842,\n\ \ \"acc_norm\": 0.25517241379310346,\n \"acc_norm_stderr\": 0.03632984052707842\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.26455026455026454,\n \"acc_stderr\": 0.022717467897708617,\n \"\ acc_norm\": 0.26455026455026454,\n \"acc_norm_stderr\": 0.022717467897708617\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.1746031746031746,\n\ \ \"acc_stderr\": 0.03395490020856113,\n \"acc_norm\": 0.1746031746031746,\n\ \ \"acc_norm_stderr\": 0.03395490020856113\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.24516129032258063,\n\ \ \"acc_stderr\": 0.02447224384089553,\n \"acc_norm\": 0.24516129032258063,\n\ \ \"acc_norm_stderr\": 0.02447224384089553\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.30049261083743845,\n \"acc_stderr\": 0.03225799476233483,\n\ \ \"acc_norm\": 0.30049261083743845,\n \"acc_norm_stderr\": 0.03225799476233483\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\"\ : 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.2787878787878788,\n \"acc_stderr\": 0.03501438706296781,\n\ \ \"acc_norm\": 0.2787878787878788,\n \"acc_norm_stderr\": 0.03501438706296781\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.2474747474747475,\n \"acc_stderr\": 0.030746300742124505,\n \"\ acc_norm\": 0.2474747474747475,\n \"acc_norm_stderr\": 0.030746300742124505\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.26424870466321243,\n \"acc_stderr\": 0.03182155050916647,\n\ \ \"acc_norm\": 0.26424870466321243,\n \"acc_norm_stderr\": 0.03182155050916647\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.2948717948717949,\n \"acc_stderr\": 0.023119362758232287,\n\ \ \"acc_norm\": 0.2948717948717949,\n \"acc_norm_stderr\": 0.023119362758232287\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.26296296296296295,\n \"acc_stderr\": 0.026842057873833706,\n \ \ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.026842057873833706\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.21008403361344538,\n \"acc_stderr\": 0.026461398717471874,\n\ \ \"acc_norm\": 0.21008403361344538,\n \"acc_norm_stderr\": 0.026461398717471874\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.271523178807947,\n \"acc_stderr\": 0.03631329803969653,\n \"acc_norm\"\ : 0.271523178807947,\n \"acc_norm_stderr\": 0.03631329803969653\n },\n\ \ \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\": 0.3376146788990826,\n\ \ \"acc_stderr\": 0.020275265986638903,\n \"acc_norm\": 0.3376146788990826,\n\ \ \"acc_norm_stderr\": 0.020275265986638903\n },\n \"harness\|hendrycksTest-high_school_statistics\|5\"\ : {\n \"acc\": 0.2222222222222222,\n \"acc_stderr\": 0.028353212866863438,\n\ \ \"acc_norm\": 0.2222222222222222,\n \"acc_norm_stderr\": 0.028353212866863438\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.24509803921568626,\n \"acc_stderr\": 0.030190282453501936,\n \"\ acc_norm\": 0.24509803921568626,\n \"acc_norm_stderr\": 0.030190282453501936\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.25738396624472576,\n \"acc_stderr\": 0.028458820991460305,\n \ \ \"acc_norm\": 0.25738396624472576,\n \"acc_norm_stderr\": 0.028458820991460305\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.26905829596412556,\n\ \ \"acc_stderr\": 0.029763779406874972,\n \"acc_norm\": 0.26905829596412556,\n\ \ \"acc_norm_stderr\": 0.029763779406874972\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.21374045801526717,\n \"acc_stderr\": 0.0359546161177469,\n\ \ \"acc_norm\": 0.21374045801526717,\n \"acc_norm_stderr\": 0.0359546161177469\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.35537190082644626,\n \"acc_stderr\": 0.04369236326573981,\n \"\ acc_norm\": 0.35537190082644626,\n \"acc_norm_stderr\": 0.04369236326573981\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.28703703703703703,\n\ \ \"acc_stderr\": 0.043733130409147614,\n \"acc_norm\": 0.28703703703703703,\n\ \ \"acc_norm_stderr\": 0.043733130409147614\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.3006134969325153,\n \"acc_stderr\": 0.03602511318806771,\n\ \ \"acc_norm\": 0.3006134969325153,\n \"acc_norm_stderr\": 0.03602511318806771\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.2857142857142857,\n\ \ \"acc_stderr\": 0.04287858751340455,\n \"acc_norm\": 0.2857142857142857,\n\ \ \"acc_norm_stderr\": 0.04287858751340455\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.1650485436893204,\n \"acc_stderr\": 0.036756688322331886,\n\ \ \"acc_norm\": 0.1650485436893204,\n \"acc_norm_stderr\": 0.036756688322331886\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.2777777777777778,\n\ \ \"acc_stderr\": 0.02934311479809446,\n \"acc_norm\": 0.2777777777777778,\n\ \ \"acc_norm_stderr\": 0.02934311479809446\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.14,\n \"acc_stderr\": 0.03487350880197768,\n \ \ \"acc_norm\": 0.14,\n \"acc_norm_stderr\": 0.03487350880197768\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.3001277139208174,\n\ \ \"acc_stderr\": 0.01638924969131741,\n \"acc_norm\": 0.3001277139208174,\n\ \ \"acc_norm_stderr\": 0.01638924969131741\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.24566473988439305,\n \"acc_stderr\": 0.02317629820399201,\n\ \ \"acc_norm\": 0.24566473988439305,\n \"acc_norm_stderr\": 0.02317629820399201\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.2424581005586592,\n\ \ \"acc_stderr\": 0.014333522059217889,\n \"acc_norm\": 0.2424581005586592,\n\ \ \"acc_norm_stderr\": 0.014333522059217889\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.238562091503268,\n \"acc_stderr\": 0.02440439492808787,\n\ \ \"acc_norm\": 0.238562091503268,\n \"acc_norm_stderr\": 0.02440439492808787\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.29260450160771706,\n\ \ \"acc_stderr\": 0.025839898334877983,\n \"acc_norm\": 0.29260450160771706,\n\ \ \"acc_norm_stderr\": 0.025839898334877983\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.26851851851851855,\n \"acc_stderr\": 0.024659685185967284,\n\ \ \"acc_norm\": 0.26851851851851855,\n \"acc_norm_stderr\": 0.024659685185967284\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.2730496453900709,\n \"acc_stderr\": 0.026577860943307857,\n \ \ \"acc_norm\": 0.2730496453900709,\n \"acc_norm_stderr\": 0.026577860943307857\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.24119947848761408,\n\ \ \"acc_stderr\": 0.01092649610203495,\n \"acc_norm\": 0.24119947848761408,\n\ \ \"acc_norm_stderr\": 0.01092649610203495\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.3235294117647059,\n \"acc_stderr\": 0.028418208619406794,\n\ \ \"acc_norm\": 0.3235294117647059,\n \"acc_norm_stderr\": 0.028418208619406794\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.24673202614379086,\n \"acc_stderr\": 0.0174408203674025,\n \ \ \"acc_norm\": 0.24673202614379086,\n \"acc_norm_stderr\": 0.0174408203674025\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.22727272727272727,\n\ \ \"acc_stderr\": 0.040139645540727735,\n \"acc_norm\": 0.22727272727272727,\n\ \ \"acc_norm_stderr\": 0.040139645540727735\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.24081632653061225,\n \"acc_stderr\": 0.027372942201788163,\n\ \ \"acc_norm\": 0.24081632653061225,\n \"acc_norm_stderr\": 0.027372942201788163\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.24378109452736318,\n\ \ \"acc_stderr\": 0.030360490154014652,\n \"acc_norm\": 0.24378109452736318,\n\ \ \"acc_norm_stderr\": 0.030360490154014652\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542127,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542127\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.25903614457831325,\n\ \ \"acc_stderr\": 0.034106466140718564,\n \"acc_norm\": 0.25903614457831325,\n\ \ \"acc_norm_stderr\": 0.034106466140718564\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.3157894736842105,\n \"acc_stderr\": 0.035650796707083106,\n\ \ \"acc_norm\": 0.3157894736842105,\n \"acc_norm_stderr\": 0.035650796707083106\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.2484700122399021,\n\ \ \"mc1_stderr\": 0.015127427096520674,\n \"mc2\": 0.4107912986493598,\n\ \ \"mc2_stderr\": 0.014545912502288488\n }\n}\n```" repo_url: https://huggingface.co/nicholasKluge/Aira-Instruct-355M leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|arc:challenge\|25_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hellaswag\|10_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T09:16:32.685819.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T09:16:32.685819.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_10T09_16_32.685819 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-10T09:16:32.685819.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-10T09:16:32.685819.parquet' - config_name: results data_files: - split: 2023_08_10T09_16_32.685819 path: - results_2023-08-10T09:16:32.685819.parquet - split: latest path: - results_2023-08-10T09:16:32.685819.parquet --- # Dataset Card for Evaluation run of nicholasKluge/Aira-Instruct-355M ## Dataset Description - Homepage: - Repository: https://huggingface.co/nicholasKluge/Aira-Instruct-355M - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: [email protected] ### Dataset Summary Dataset automatically created during the evaluation run of model [nicholasKluge/Aira-Instruct-355M](https://huggingface.co/nicholasKluge/Aira-Instruct-355M) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_nicholasKluge__Aira-Instruct-355M", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-08-10T09:16:32.685819](https://huggingface.co/datasets/open-llm-leaderboard/details_nicholasKluge__Aira-Instruct-355M/blob/main/results_2023-08-10T09%3A16%3A32.685819.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": 0.26193708195623533, "acc_stderr": 0.03182336083684077, "acc_norm": 0.263783264473725, "acc_norm_stderr": 0.03183912280555913, "mc1": 0.2484700122399021, "mc1_stderr": 0.015127427096520674, "mc2": 0.4107912986493598, "mc2_stderr": 0.014545912502288488 }, "harness\|arc:challenge\|25": { "acc": 0.23890784982935154, "acc_stderr": 0.012461071376316621, "acc_norm": 0.28668941979522183, "acc_norm_stderr": 0.013214986329274765 }, "harness\|hellaswag\|10": { "acc": 0.3311093407687712, "acc_stderr": 0.004696505101217406, "acc_norm": 0.39225253933479387, "acc_norm_stderr": 0.004872546302641832 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.27, "acc_stderr": 0.044619604333847415, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847415 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04072314811876837, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04072314811876837 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.23026315789473684, "acc_stderr": 0.034260594244031654, "acc_norm": 0.23026315789473684, "acc_norm_stderr": 0.034260594244031654 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.23, "acc_stderr": 0.04229525846816506, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816506 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.27169811320754716, "acc_stderr": 0.027377706624670716, "acc_norm": 0.27169811320754716, "acc_norm_stderr": 0.027377706624670716 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.18, "acc_stderr": 0.03861229196653694, "acc_norm": 0.18, "acc_norm_stderr": 0.03861229196653694 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.2543352601156069, "acc_stderr": 0.0332055644308557, "acc_norm": 0.2543352601156069, "acc_norm_stderr": 0.0332055644308557 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.20588235294117646, "acc_stderr": 0.04023382273617747, "acc_norm": 0.20588235294117646, "acc_norm_stderr": 0.04023382273617747 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.225531914893617, "acc_stderr": 0.027321078417387536, "acc_norm": 0.225531914893617, "acc_norm_stderr": 0.027321078417387536 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.21052631578947367, "acc_stderr": 0.0383515395439942, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.0383515395439942 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.25517241379310346, "acc_stderr": 0.03632984052707842, "acc_norm": 0.25517241379310346, "acc_norm_stderr": 0.03632984052707842 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.26455026455026454, "acc_stderr": 0.022717467897708617, "acc_norm": 0.26455026455026454, "acc_norm_stderr": 0.022717467897708617 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.1746031746031746, "acc_stderr": 0.03395490020856113, "acc_norm": 0.1746031746031746, "acc_norm_stderr": 0.03395490020856113 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.24516129032258063, "acc_stderr": 0.02447224384089553, "acc_norm": 0.24516129032258063, "acc_norm_stderr": 0.02447224384089553 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.30049261083743845, "acc_stderr": 0.03225799476233483, "acc_norm": 0.30049261083743845, "acc_norm_stderr": 0.03225799476233483 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.2787878787878788, "acc_stderr": 0.03501438706296781, "acc_norm": 0.2787878787878788, "acc_norm_stderr": 0.03501438706296781 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.2474747474747475, "acc_stderr": 0.030746300742124505, "acc_norm": 0.2474747474747475, "acc_norm_stderr": 0.030746300742124505 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.26424870466321243, "acc_stderr": 0.03182155050916647, "acc_norm": 0.26424870466321243, "acc_norm_stderr": 0.03182155050916647 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.2948717948717949, "acc_stderr": 0.023119362758232287, "acc_norm": 0.2948717948717949, "acc_norm_stderr": 0.023119362758232287 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.26296296296296295, "acc_stderr": 0.026842057873833706, "acc_norm": 0.26296296296296295, "acc_norm_stderr": 0.026842057873833706 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.21008403361344538, "acc_stderr": 0.026461398717471874, "acc_norm": 0.21008403361344538, "acc_norm_stderr": 0.026461398717471874 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.271523178807947, "acc_stderr": 0.03631329803969653, "acc_norm": 0.271523178807947, "acc_norm_stderr": 0.03631329803969653 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.3376146788990826, "acc_stderr": 0.020275265986638903, "acc_norm": 0.3376146788990826, "acc_norm_stderr": 0.020275265986638903 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.2222222222222222, "acc_stderr": 0.028353212866863438, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.028353212866863438 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.24509803921568626, "acc_stderr": 0.030190282453501936, "acc_norm": 0.24509803921568626, "acc_norm_stderr": 0.030190282453501936 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.25738396624472576, "acc_stderr": 0.028458820991460305, "acc_norm": 0.25738396624472576, "acc_norm_stderr": 0.028458820991460305 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.26905829596412556, "acc_stderr": 0.029763779406874972, "acc_norm": 0.26905829596412556, "acc_norm_stderr": 0.029763779406874972 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.21374045801526717, "acc_stderr": 0.0359546161177469, "acc_norm": 0.21374045801526717, "acc_norm_stderr": 0.0359546161177469 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.35537190082644626, "acc_stderr": 0.04369236326573981, "acc_norm": 0.35537190082644626, "acc_norm_stderr": 0.04369236326573981 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.28703703703703703, "acc_stderr": 0.043733130409147614, "acc_norm": 0.28703703703703703, "acc_norm_stderr": 0.043733130409147614 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.3006134969325153, "acc_stderr": 0.03602511318806771, "acc_norm": 0.3006134969325153, "acc_norm_stderr": 0.03602511318806771 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.2857142857142857, "acc_stderr": 0.04287858751340455, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.04287858751340455 }, "harness\|hendrycksTest-management\|5": { "acc": 0.1650485436893204, "acc_stderr": 0.036756688322331886, "acc_norm": 0.1650485436893204, "acc_norm_stderr": 0.036756688322331886 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.2777777777777778, "acc_stderr": 0.02934311479809446, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.02934311479809446 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.14, "acc_stderr": 0.03487350880197768, "acc_norm": 0.14, "acc_norm_stderr": 0.03487350880197768 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.3001277139208174, "acc_stderr": 0.01638924969131741, "acc_norm": 0.3001277139208174, "acc_norm_stderr": 0.01638924969131741 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.24566473988439305, "acc_stderr": 0.02317629820399201, "acc_norm": 0.24566473988439305, "acc_norm_stderr": 0.02317629820399201 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.2424581005586592, "acc_stderr": 0.014333522059217889, "acc_norm": 0.2424581005586592, "acc_norm_stderr": 0.014333522059217889 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.238562091503268, "acc_stderr": 0.02440439492808787, "acc_norm": 0.238562091503268, "acc_norm_stderr": 0.02440439492808787 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.29260450160771706, "acc_stderr": 0.025839898334877983, "acc_norm": 0.29260450160771706, "acc_norm_stderr": 0.025839898334877983 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.26851851851851855, "acc_stderr": 0.024659685185967284, "acc_norm": 0.26851851851851855, "acc_norm_stderr": 0.024659685185967284 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.2730496453900709, "acc_stderr": 0.026577860943307857, "acc_norm": 0.2730496453900709, "acc_norm_stderr": 0.026577860943307857 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.24119947848761408, "acc_stderr": 0.01092649610203495, "acc_norm": 0.24119947848761408, "acc_norm_stderr": 0.01092649610203495 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.3235294117647059, "acc_stderr": 0.028418208619406794, "acc_norm": 0.3235294117647059, "acc_norm_stderr": 0.028418208619406794 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.24673202614379086, "acc_stderr": 0.0174408203674025, "acc_norm": 0.24673202614379086, "acc_norm_stderr": 0.0174408203674025 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.22727272727272727, "acc_stderr": 0.040139645540727735, "acc_norm": 0.22727272727272727, "acc_norm_stderr": 0.040139645540727735 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.24081632653061225, "acc_stderr": 0.027372942201788163, "acc_norm": 0.24081632653061225, "acc_norm_stderr": 0.027372942201788163 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.24378109452736318, "acc_stderr": 0.030360490154014652, "acc_norm": 0.24378109452736318, "acc_norm_stderr": 0.030360490154014652 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.25903614457831325, "acc_stderr": 0.034106466140718564, "acc_norm": 0.25903614457831325, "acc_norm_stderr": 0.034106466140718564 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.3157894736842105, "acc_stderr": 0.035650796707083106, "acc_norm": 0.3157894736842105, "acc_norm_stderr": 0.035650796707083106 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.2484700122399021, "mc1_stderr": 0.015127427096520674, "mc2": 0.4107912986493598, "mc2_stderr": 0.014545912502288488 } } ``` ### 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]	[ -0.7217093706130981, -0.8515365123748779, 0.2516191899776459, 0.1860254555940628, -0.12378088384866714, -0.0691920593380928, 0.046447910368442535, -0.19578145444393158, 0.6103702783584595, -0.1031879112124443, -0.4929831027984619, -0.6440336108207703, -0.4436481297016144, 0.20410148799419403, -0.04391955956816673, 0.7743131518363953, -0.20867125689983368, -0.12229149043560028, 0.09814989566802979, -0.01710687205195427, -0.23927754163742065, -0.35498952865600586, -0.46391183137893677, 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LeoLM/German_Poems	LeoLM	2023-09-04T20:04:23Z	258	2	[ "region:us" ]	null	2023-09-04T20:04:20Z	--- dataset_info: features: - name: prompt dtype: string - name: topic dtype: string - name: poem dtype: string splits: - name: train num_bytes: 571127 num_examples: 400 download_size: 327833 dataset_size: 571127 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "german_poems_gpt4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.5434817671775818, -0.12839998304843903, 0.45930686593055725, 0.43318501114845276, -0.39561378955841064, -0.20203617215156555, 0.14736053347587585, -0.26192015409469604, 0.5828138589859009, 0.36430421471595764, -0.7888495922088623, -0.9283071756362915, -0.8160375356674194, -0.10301050543785095, -0.3220407962799072, 1.467207908630371, -0.22904732823371887, 0.009731749072670937, -0.20843465626239777, -0.09093164652585983, 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iara-project/news-articles-ptbr-dataset	iara-project	2023-09-21T03:12:30Z	258	2	[ "region:us" ]	null	2023-09-17T19:11:32Z	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: title dtype: string - name: text dtype: string - name: date dtype: string - name: category dtype: string - name: category_natural_language dtype: string - name: link dtype: string splits: - name: train num_bytes: 628987914 num_examples: 176114 - name: test num_bytes: 627415372 num_examples: 176114 download_size: 770300096 dataset_size: 1256403286 --- # Dataset Card for "news-articles-ptbr-dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.5807009935379028, -0.41690000891685486, 0.2461295872926712, 0.5849053859710693, -0.5729497075080872, 0.15632539987564087, 0.29605790972709656, -0.0513286292552948, 0.8370821475982666, 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open-llm-leaderboard/details_hyunseoki__ko-ref-llama2-7b	open-llm-leaderboard	2023-10-25T06:27:54Z	258	0	[ "region:us" ]	null	2023-10-04T09:16:27Z	--- pretty_name: Evaluation run of hyunseoki/ko-ref-llama2-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [hyunseoki/ko-ref-llama2-7b](https://huggingface.co/hyunseoki/ko-ref-llama2-7b)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_hyunseoki__ko-ref-llama2-7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-25T06:27:40.666893](https://huggingface.co/datasets/open-llm-leaderboard/details_hyunseoki__ko-ref-llama2-7b/blob/main/results_2023-10-25T06-27-40.666893.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.20343959731543623,\n\ \ \"em_stderr\": 0.004122557786324279,\n \"f1\": 0.24051069630872504,\n\ \ \"f1_stderr\": 0.00417330845396371,\n \"acc\": 0.3310970797158643,\n\ \ \"acc_stderr\": 0.006646291751455444\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.20343959731543623,\n \"em_stderr\": 0.004122557786324279,\n\ \ \"f1\": 0.24051069630872504,\n \"f1_stderr\": 0.00417330845396371\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n },\n \"harness\|winogrande\|5\": {\n \"acc\": 0.6621941594317285,\n\ \ \"acc_stderr\": 0.013292583502910888\n }\n}\n```" repo_url: https://huggingface.co/hyunseoki/ko-ref-llama2-7b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [email protected] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|arc:challenge\|25_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-04T09-16-09.367375.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_25T06_27_40.666893 path: - '/details_harness\|drop\|3_2023-10-25T06-27-40.666893.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-25T06-27-40.666893.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_25T06_27_40.666893 path: - '/details_harness\|gsm8k\|5_2023-10-25T06-27-40.666893.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-25T06-27-40.666893.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hellaswag\|10_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T09-16-09.367375.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T09-16-09.367375.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_04T09_16_09.367375 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-04T09-16-09.367375.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-04T09-16-09.367375.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_25T06_27_40.666893 path: - '/details_harness\|winogrande\|5_2023-10-25T06-27-40.666893.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-25T06-27-40.666893.parquet' - config_name: results data_files: - split: 2023_10_04T09_16_09.367375 path: - results_2023-10-04T09-16-09.367375.parquet - split: 2023_10_25T06_27_40.666893 path: - results_2023-10-25T06-27-40.666893.parquet - split: latest path: - results_2023-10-25T06-27-40.666893.parquet --- # Dataset Card for Evaluation run of hyunseoki/ko-ref-llama2-7b ## Dataset Description - Homepage: - Repository: https://huggingface.co/hyunseoki/ko-ref-llama2-7b - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: [email protected] ### Dataset Summary Dataset automatically created during the evaluation run of model [hyunseoki/ko-ref-llama2-7b](https://huggingface.co/hyunseoki/ko-ref-llama2-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_hyunseoki__ko-ref-llama2-7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-25T06:27:40.666893](https://huggingface.co/datasets/open-llm-leaderboard/details_hyunseoki__ko-ref-llama2-7b/blob/main/results_2023-10-25T06-27-40.666893.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.20343959731543623, "em_stderr": 0.004122557786324279, "f1": 0.24051069630872504, "f1_stderr": 0.00417330845396371, "acc": 0.3310970797158643, "acc_stderr": 0.006646291751455444 }, "harness\|drop\|3": { "em": 0.20343959731543623, "em_stderr": 0.004122557786324279, "f1": 0.24051069630872504, "f1_stderr": 0.00417330845396371 }, "harness\|gsm8k\|5": { "acc": 0.0, "acc_stderr": 0.0 }, "harness\|winogrande\|5": { "acc": 0.6621941594317285, "acc_stderr": 0.013292583502910888 } } ``` ### 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]	[ -0.36632880568504333, -0.642501175403595, 0.3049008250236511, 0.2653086483478546, -0.22594623267650604, 0.16138194501399994, -0.3557940423488617, -0.2051394134759903, 0.38892874121665955, 0.6030345559120178, -0.6801060438156128, -0.9650459885597229, -0.6825618743896484, 0.19947665929794312, -0.10689163953065872, 1.114750862121582, -0.3321307301521301, -0.19809027016162872, -0.038848452270030975, -0.29886072874069214, -0.43568018078804016, -0.3659004867076874, -0.46450507640838623, 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