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_hyunseoki__ko-en-llama2-13b	open-llm-leaderboard	2023-10-27T07:23:39Z	328	0	[ "region:us" ]	null	2023-10-04T07:33:35Z	--- pretty_name: Evaluation run of hyunseoki/ko-en-llama2-13b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [hyunseoki/ko-en-llama2-13b](https://huggingface.co/hyunseoki/ko-en-llama2-13b)\ \ 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-en-llama2-13b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-27T07:23:26.353656](https://huggingface.co/datasets/open-llm-leaderboard/details_hyunseoki__ko-en-llama2-13b/blob/main/results_2023-10-27T07-23-26.353656.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\": 0.28114513422818793,\n\ \ \"em_stderr\": 0.004603896433799628,\n \"f1\": 0.3260591442953026,\n\ \ \"f1_stderr\": 0.004539391567050269,\n \"acc\": 0.3779028263381469,\n\ \ \"acc_stderr\": 0.007293885306168497\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.28114513422818793,\n \"em_stderr\": 0.004603896433799628,\n\ \ \"f1\": 0.3260591442953026,\n \"f1_stderr\": 0.004539391567050269\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0075815011372251705,\n \ \ \"acc_stderr\": 0.002389281512077218\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7482241515390686,\n \"acc_stderr\": 0.012198489100259776\n\ \ }\n}\n```" repo_url: https://huggingface.co/hyunseoki/ko-en-llama2-13b 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_04T07_33_17.210034 path: - '/details_harness\|arc:challenge\|25_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-04T07-33-17.210034.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_27T07_23_26.353656 path: - '/details_harness\|drop\|3_2023-10-27T07-23-26.353656.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-27T07-23-26.353656.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_27T07_23_26.353656 path: - '/details_harness\|gsm8k\|5_2023-10-27T07-23-26.353656.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-27T07-23-26.353656.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hellaswag\|10_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T07-33-17.210034.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T07-33-17.210034.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_04T07_33_17.210034 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-04T07-33-17.210034.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-04T07-33-17.210034.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_27T07_23_26.353656 path: - '/details_harness\|winogrande\|5_2023-10-27T07-23-26.353656.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-27T07-23-26.353656.parquet' - config_name: results data_files: - split: 2023_10_04T07_33_17.210034 path: - results_2023-10-04T07-33-17.210034.parquet - split: 2023_10_27T07_23_26.353656 path: - results_2023-10-27T07-23-26.353656.parquet - split: latest path: - results_2023-10-27T07-23-26.353656.parquet --- # Dataset Card for Evaluation run of hyunseoki/ko-en-llama2-13b ## Dataset Description - Homepage: - Repository: https://huggingface.co/hyunseoki/ko-en-llama2-13b - 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-en-llama2-13b](https://huggingface.co/hyunseoki/ko-en-llama2-13b) 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-en-llama2-13b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-27T07:23:26.353656](https://huggingface.co/datasets/open-llm-leaderboard/details_hyunseoki__ko-en-llama2-13b/blob/main/results_2023-10-27T07-23-26.353656.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": 0.28114513422818793, "em_stderr": 0.004603896433799628, "f1": 0.3260591442953026, "f1_stderr": 0.004539391567050269, "acc": 0.3779028263381469, "acc_stderr": 0.007293885306168497 }, "harness\|drop\|3": { "em": 0.28114513422818793, "em_stderr": 0.004603896433799628, "f1": 0.3260591442953026, "f1_stderr": 0.004539391567050269 }, "harness\|gsm8k\|5": { "acc": 0.0075815011372251705, "acc_stderr": 0.002389281512077218 }, "harness\|winogrande\|5": { "acc": 0.7482241515390686, "acc_stderr": 0.012198489100259776 } } ``` ### 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]	[ -0.3801409602165222, -0.6779127717018127, 0.30799394845962524, 0.29366597533226013, -0.2192709892988205, 0.16326703131198883, -0.37349021434783936, -0.21206755936145782, 0.394809752702713, 0.5675351619720459, -0.7023305296897888, -0.9818848371505737, -0.6882072687149048, 0.1872149258852005, -0.0905018076300621, 1.0911626815795898, -0.3350488543510437, -0.18483762443065643, -0.030146071687340736, -0.250348299741745, -0.41175952553749084, -0.35537174344062805, -0.4828590750694275, 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open-llm-leaderboard/details_chargoddard__duplicitous-mammal-13b	open-llm-leaderboard	2023-10-28T12:16:47Z	328	0	[ "region:us" ]	null	2023-10-08T19:36:39Z	--- pretty_name: Evaluation run of chargoddard/duplicitous-mammal-13b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [chargoddard/duplicitous-mammal-13b](https://huggingface.co/chargoddard/duplicitous-mammal-13b)\ \ 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_chargoddard__duplicitous-mammal-13b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-28T12:16:35.261597](https://huggingface.co/datasets/open-llm-leaderboard/details_chargoddard__duplicitous-mammal-13b/blob/main/results_2023-10-28T12-16-35.261597.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\": 0.011115771812080536,\n\ \ \"em_stderr\": 0.0010736981082190872,\n \"f1\": 0.09195050335570452,\n\ \ \"f1_stderr\": 0.0019265640812138418,\n \"acc\": 0.42078498156683963,\n\ \ \"acc_stderr\": 0.01004075602047218\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.011115771812080536,\n \"em_stderr\": 0.0010736981082190872,\n\ \ \"f1\": 0.09195050335570452,\n \"f1_stderr\": 0.0019265640812138418\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.09097801364670205,\n \ \ \"acc_stderr\": 0.00792132284401367\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7505919494869772,\n \"acc_stderr\": 0.012160189196930689\n\ \ }\n}\n```" repo_url: https://huggingface.co/chargoddard/duplicitous-mammal-13b 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_08T19_36_16.264447 path: - '/details_harness\|arc:challenge\|25_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-08T19-36-16.264447.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_28T12_16_35.261597 path: - '/details_harness\|drop\|3_2023-10-28T12-16-35.261597.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-28T12-16-35.261597.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_28T12_16_35.261597 path: - '/details_harness\|gsm8k\|5_2023-10-28T12-16-35.261597.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-28T12-16-35.261597.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hellaswag\|10_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-08T19-36-16.264447.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-08T19-36-16.264447.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_08T19_36_16.264447 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-08T19-36-16.264447.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-08T19-36-16.264447.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_28T12_16_35.261597 path: - '/details_harness\|winogrande\|5_2023-10-28T12-16-35.261597.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-28T12-16-35.261597.parquet' - config_name: results data_files: - split: 2023_10_08T19_36_16.264447 path: - results_2023-10-08T19-36-16.264447.parquet - split: 2023_10_28T12_16_35.261597 path: - results_2023-10-28T12-16-35.261597.parquet - split: latest path: - results_2023-10-28T12-16-35.261597.parquet --- # Dataset Card for Evaluation run of chargoddard/duplicitous-mammal-13b ## Dataset Description - Homepage: - Repository: https://huggingface.co/chargoddard/duplicitous-mammal-13b - 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 [chargoddard/duplicitous-mammal-13b](https://huggingface.co/chargoddard/duplicitous-mammal-13b) 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_chargoddard__duplicitous-mammal-13b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-28T12:16:35.261597](https://huggingface.co/datasets/open-llm-leaderboard/details_chargoddard__duplicitous-mammal-13b/blob/main/results_2023-10-28T12-16-35.261597.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": 0.011115771812080536, "em_stderr": 0.0010736981082190872, "f1": 0.09195050335570452, "f1_stderr": 0.0019265640812138418, "acc": 0.42078498156683963, "acc_stderr": 0.01004075602047218 }, "harness\|drop\|3": { "em": 0.011115771812080536, "em_stderr": 0.0010736981082190872, "f1": 0.09195050335570452, "f1_stderr": 0.0019265640812138418 }, "harness\|gsm8k\|5": { "acc": 0.09097801364670205, "acc_stderr": 0.00792132284401367 }, "harness\|winogrande\|5": { "acc": 0.7505919494869772, "acc_stderr": 0.012160189196930689 } } ``` ### 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]	[ -0.41481834650039673, -0.6460228562355042, 0.17823418974876404, 0.29165375232696533, -0.21850000321865082, 0.1517920345067978, -0.3194127380847931, -0.20366497337818146, 0.4732624292373657, 0.6095258593559265, -0.7303683161735535, -0.9475366473197937, -0.6606870889663696, 0.2002277970314026, -0.10886140912771225, 1.1315782070159912, -0.18482255935668945, -0.17977440357208252, 0.036441050469875336, -0.33150514960289, -0.3674159348011017, -0.48635128140449524, -0.4898153841495514, 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open-llm-leaderboard/details_Yukang__LongAlpaca-13B	open-llm-leaderboard	2023-10-27T22:00:42Z	328	1	[ "region:us" ]	null	2023-10-09T09:20:16Z	--- pretty_name: Evaluation run of Yukang/LongAlpaca-13B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Yukang/LongAlpaca-13B](https://huggingface.co/Yukang/LongAlpaca-13B) 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_Yukang__LongAlpaca-13B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-27T22:00:30.556276](https://huggingface.co/datasets/open-llm-leaderboard/details_Yukang__LongAlpaca-13B/blob/main/results_2023-10-27T22-00-30.556276.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\": 0.17051174496644295,\n\ \ \"em_stderr\": 0.003851429222727117,\n \"f1\": 0.23656669463087293,\n\ \ \"f1_stderr\": 0.003934121554985558,\n \"acc\": 0.32044198895027626,\n\ \ \"acc_stderr\": 0.006741557601060113\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.17051174496644295,\n \"em_stderr\": 0.003851429222727117,\n\ \ \"f1\": 0.23656669463087293,\n \"f1_stderr\": 0.003934121554985558\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n },\n \"harness\|winogrande\|5\": {\n \"acc\": 0.6408839779005525,\n\ \ \"acc_stderr\": 0.013483115202120225\n }\n}\n```" repo_url: https://huggingface.co/Yukang/LongAlpaca-13B 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_09T09_19_51.890196 path: - '/details_harness\|arc:challenge\|25_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-09T09-19-51.890196.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_27T22_00_30.556276 path: - '/details_harness\|drop\|3_2023-10-27T22-00-30.556276.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-27T22-00-30.556276.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_27T22_00_30.556276 path: - '/details_harness\|gsm8k\|5_2023-10-27T22-00-30.556276.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-27T22-00-30.556276.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hellaswag\|10_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T09-19-51.890196.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T09-19-51.890196.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_09T09_19_51.890196 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-09T09-19-51.890196.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-09T09-19-51.890196.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_27T22_00_30.556276 path: - '/details_harness\|winogrande\|5_2023-10-27T22-00-30.556276.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-27T22-00-30.556276.parquet' - config_name: results data_files: - split: 2023_10_09T09_19_51.890196 path: - results_2023-10-09T09-19-51.890196.parquet - split: 2023_10_27T22_00_30.556276 path: - results_2023-10-27T22-00-30.556276.parquet - split: latest path: - results_2023-10-27T22-00-30.556276.parquet --- # Dataset Card for Evaluation run of Yukang/LongAlpaca-13B ## Dataset Description - Homepage: - Repository: https://huggingface.co/Yukang/LongAlpaca-13B - 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 [Yukang/LongAlpaca-13B](https://huggingface.co/Yukang/LongAlpaca-13B) 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_Yukang__LongAlpaca-13B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-27T22:00:30.556276](https://huggingface.co/datasets/open-llm-leaderboard/details_Yukang__LongAlpaca-13B/blob/main/results_2023-10-27T22-00-30.556276.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": 0.17051174496644295, "em_stderr": 0.003851429222727117, "f1": 0.23656669463087293, "f1_stderr": 0.003934121554985558, "acc": 0.32044198895027626, "acc_stderr": 0.006741557601060113 }, "harness\|drop\|3": { "em": 0.17051174496644295, "em_stderr": 0.003851429222727117, "f1": 0.23656669463087293, "f1_stderr": 0.003934121554985558 }, "harness\|gsm8k\|5": { "acc": 0.0, "acc_stderr": 0.0 }, "harness\|winogrande\|5": { "acc": 0.6408839779005525, "acc_stderr": 0.013483115202120225 } } ``` ### 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]	[ -0.4609961211681366, -0.7159916758537292, 0.2424713522195816, 0.3714253008365631, -0.23547333478927612, 0.03141815587878227, -0.4450807571411133, -0.29513922333717346, 0.49430158734321594, 0.5948578715324402, -0.725946307182312, -0.9624803066253662, -0.657016932964325, 0.22644975781440735, -0.12194965779781342, 1.179677128791809, -0.2490682452917099, -0.27326613664627075, 0.10316870361566544, -0.3645467460155487, -0.3962731659412384, -0.34827470779418945, -0.4242062568664551, 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open-llm-leaderboard/details_ehartford__samantha-mistral-7b	open-llm-leaderboard	2023-10-29T01:10:50Z	328	0	[ "region:us" ]	null	2023-10-09T12:11:42Z	--- pretty_name: Evaluation run of ehartford/samantha-mistral-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ehartford/samantha-mistral-7b](https://huggingface.co/ehartford/samantha-mistral-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_ehartford__samantha-mistral-7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-29T01:10:37.829717](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__samantha-mistral-7b/blob/main/results_2023-10-29T01-10-37.829717.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\": 0.056732382550335574,\n\ \ \"em_stderr\": 0.0023690412638350568,\n \"f1\": 0.11221791107382512,\n\ \ \"f1_stderr\": 0.0025837884585332253,\n \"acc\": 0.4639627375502118,\n\ \ \"acc_stderr\": 0.010980763759790235\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.056732382550335574,\n \"em_stderr\": 0.0023690412638350568,\n\ \ \"f1\": 0.11221791107382512,\n \"f1_stderr\": 0.0025837884585332253\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.1599696739954511,\n \ \ \"acc_stderr\": 0.010097377827752538\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7679558011049724,\n \"acc_stderr\": 0.011864149691827934\n\ \ }\n}\n```" repo_url: https://huggingface.co/ehartford/samantha-mistral-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_09T12_11_18.939016 path: - '/details_harness\|arc:challenge\|25_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-09T12-11-18.939016.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_29T01_10_37.829717 path: - '/details_harness\|drop\|3_2023-10-29T01-10-37.829717.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-29T01-10-37.829717.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_29T01_10_37.829717 path: - '/details_harness\|gsm8k\|5_2023-10-29T01-10-37.829717.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-29T01-10-37.829717.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hellaswag\|10_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T12-11-18.939016.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T12-11-18.939016.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_09T12_11_18.939016 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-09T12-11-18.939016.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-09T12-11-18.939016.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_29T01_10_37.829717 path: - '/details_harness\|winogrande\|5_2023-10-29T01-10-37.829717.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-29T01-10-37.829717.parquet' - config_name: results data_files: - split: 2023_10_09T12_11_18.939016 path: - results_2023-10-09T12-11-18.939016.parquet - split: 2023_10_29T01_10_37.829717 path: - results_2023-10-29T01-10-37.829717.parquet - split: latest path: - results_2023-10-29T01-10-37.829717.parquet --- # Dataset Card for Evaluation run of ehartford/samantha-mistral-7b ## Dataset Description - Homepage: - Repository: https://huggingface.co/ehartford/samantha-mistral-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 [ehartford/samantha-mistral-7b](https://huggingface.co/ehartford/samantha-mistral-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_ehartford__samantha-mistral-7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-29T01:10:37.829717](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__samantha-mistral-7b/blob/main/results_2023-10-29T01-10-37.829717.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": 0.056732382550335574, "em_stderr": 0.0023690412638350568, "f1": 0.11221791107382512, "f1_stderr": 0.0025837884585332253, "acc": 0.4639627375502118, "acc_stderr": 0.010980763759790235 }, "harness\|drop\|3": { "em": 0.056732382550335574, "em_stderr": 0.0023690412638350568, "f1": 0.11221791107382512, "f1_stderr": 0.0025837884585332253 }, "harness\|gsm8k\|5": { "acc": 0.1599696739954511, "acc_stderr": 0.010097377827752538 }, "harness\|winogrande\|5": { "acc": 0.7679558011049724, "acc_stderr": 0.011864149691827934 } } ``` ### 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]	[ -0.35049691796302795, -0.6448532342910767, 0.2871500253677368, 0.13562418520450592, -0.12681828439235687, 0.048180922865867615, -0.3041147291660309, -0.17910203337669373, 0.3786639869213104, 0.5524709820747375, -0.6798083782196045, -0.9754828810691833, -0.6744087934494019, 0.20678535103797913, -0.14389517903327942, 1.0546478033065796, -0.30609291791915894, -0.18778754770755768, 0.050472114235162735, -0.312686562538147, -0.3196553587913513, -0.4702756106853485, -0.56391441822052, 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open-llm-leaderboard/details_PeanutJar__Mistral-v0.1-PeanutButter-v0.0.0-7B	open-llm-leaderboard	2023-10-28T17:59:30Z	328	0	[ "region:us" ]	null	2023-10-09T13:04:20Z	--- pretty_name: Evaluation run of PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B](https://huggingface.co/PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B)\ \ 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_PeanutJar__Mistral-v0.1-PeanutButter-v0.0.0-7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-28T17:59:18.672226](https://huggingface.co/datasets/open-llm-leaderboard/details_PeanutJar__Mistral-v0.1-PeanutButter-v0.0.0-7B/blob/main/results_2023-10-28T17-59-18.672226.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\": 0.007655201342281879,\n\ \ \"em_stderr\": 0.0008925843316825968,\n \"f1\": 0.06762374161073832,\n\ \ \"f1_stderr\": 0.0015672145775403328,\n \"acc\": 0.48594340621826704,\n\ \ \"acc_stderr\": 0.011102174081480334\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.007655201342281879,\n \"em_stderr\": 0.0008925843316825968,\n\ \ \"f1\": 0.06762374161073832,\n \"f1_stderr\": 0.0015672145775403328\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.18498862774829417,\n \ \ \"acc_stderr\": 0.010695390472237908\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7868981846882399,\n \"acc_stderr\": 0.01150895769072276\n\ \ }\n}\n```" repo_url: https://huggingface.co/PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B 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_09T13_03_57.822479 path: - '/details_harness\|arc:challenge\|25_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-09T13-03-57.822479.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_28T17_59_18.672226 path: - '/details_harness\|drop\|3_2023-10-28T17-59-18.672226.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-28T17-59-18.672226.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_28T17_59_18.672226 path: - '/details_harness\|gsm8k\|5_2023-10-28T17-59-18.672226.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-28T17-59-18.672226.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hellaswag\|10_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T13-03-57.822479.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T13-03-57.822479.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_09T13_03_57.822479 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-09T13-03-57.822479.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-09T13-03-57.822479.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_28T17_59_18.672226 path: - '/details_harness\|winogrande\|5_2023-10-28T17-59-18.672226.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-28T17-59-18.672226.parquet' - config_name: results data_files: - split: 2023_10_09T13_03_57.822479 path: - results_2023-10-09T13-03-57.822479.parquet - split: 2023_10_28T17_59_18.672226 path: - results_2023-10-28T17-59-18.672226.parquet - split: latest path: - results_2023-10-28T17-59-18.672226.parquet --- # Dataset Card for Evaluation run of PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B ## Dataset Description - Homepage: - Repository: https://huggingface.co/PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B - 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/Mistral-v0.1-PeanutButter-v0.0.0-7B](https://huggingface.co/PeanutJar/Mistral-v0.1-PeanutButter-v0.0.0-7B) 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_PeanutJar__Mistral-v0.1-PeanutButter-v0.0.0-7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-28T17:59:18.672226](https://huggingface.co/datasets/open-llm-leaderboard/details_PeanutJar__Mistral-v0.1-PeanutButter-v0.0.0-7B/blob/main/results_2023-10-28T17-59-18.672226.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": 0.007655201342281879, "em_stderr": 0.0008925843316825968, "f1": 0.06762374161073832, "f1_stderr": 0.0015672145775403328, "acc": 0.48594340621826704, "acc_stderr": 0.011102174081480334 }, "harness\|drop\|3": { "em": 0.007655201342281879, "em_stderr": 0.0008925843316825968, "f1": 0.06762374161073832, "f1_stderr": 0.0015672145775403328 }, "harness\|gsm8k\|5": { "acc": 0.18498862774829417, "acc_stderr": 0.010695390472237908 }, "harness\|winogrande\|5": { "acc": 0.7868981846882399, "acc_stderr": 0.01150895769072276 } } ``` ### 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]	[ -0.40642493963241577, -0.753227949142456, 0.08668594062328339, 0.37071770429611206, -0.11087967455387115, 0.15758270025253296, -0.40892544388771057, -0.21305063366889954, 0.38901829719543457, 0.48240238428115845, -0.6166931986808777, -0.8785014748573303, -0.738885760307312, 0.20223841071128845, -0.37177446484565735, 1.2323228120803833, -0.34510889649391174, -0.36657026410102844, 0.04222436621785164, -0.16316112875938416, -0.2933628261089325, -0.35413604974746704, -0.5065606236457825, 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open-llm-leaderboard/details_CHIH-HUNG__llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down	open-llm-leaderboard	2023-10-28T17:20:30Z	328	0	[ "region:us" ]	null	2023-10-10T11:32:28Z	--- pretty_name: Evaluation run of CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down](https://huggingface.co/CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down)\ \ 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_CHIH-HUNG__llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-28T17:20:18.070512](https://huggingface.co/datasets/open-llm-leaderboard/details_CHIH-HUNG__llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down/blob/main/results_2023-10-28T17-20-18.070512.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\": 0.3329488255033557,\n\ \ \"em_stderr\": 0.0048262295177582465,\n \"f1\": 0.37401635906040315,\n\ \ \"f1_stderr\": 0.004743003734543155,\n \"acc\": 0.444993426772692,\n\ \ \"acc_stderr\": 0.010459654838365608\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.3329488255033557,\n \"em_stderr\": 0.0048262295177582465,\n\ \ \"f1\": 0.37401635906040315,\n \"f1_stderr\": 0.004743003734543155\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.12282031842304776,\n \ \ \"acc_stderr\": 0.009041108602874675\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7671665351223362,\n \"acc_stderr\": 0.011878201073856542\n\ \ }\n}\n```" repo_url: https://huggingface.co/CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down 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_10T11_32_04.979499 path: - '/details_harness\|arc:challenge\|25_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-10T11-32-04.979499.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_28T17_20_18.070512 path: - '/details_harness\|drop\|3_2023-10-28T17-20-18.070512.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-28T17-20-18.070512.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_28T17_20_18.070512 path: - '/details_harness\|gsm8k\|5_2023-10-28T17-20-18.070512.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-28T17-20-18.070512.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hellaswag\|10_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T11-32-04.979499.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T11-32-04.979499.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_10T11_32_04.979499 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-10T11-32-04.979499.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-10T11-32-04.979499.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_28T17_20_18.070512 path: - '/details_harness\|winogrande\|5_2023-10-28T17-20-18.070512.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-28T17-20-18.070512.parquet' - config_name: results data_files: - split: 2023_10_10T11_32_04.979499 path: - results_2023-10-10T11-32-04.979499.parquet - split: 2023_10_28T17_20_18.070512 path: - results_2023-10-28T17-20-18.070512.parquet - split: latest path: - results_2023-10-28T17-20-18.070512.parquet --- # Dataset Card for Evaluation run of CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down ## Dataset Description - Homepage: - Repository: https://huggingface.co/CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down - 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 [CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down](https://huggingface.co/CHIH-HUNG/llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down) 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_CHIH-HUNG__llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-28T17:20:18.070512](https://huggingface.co/datasets/open-llm-leaderboard/details_CHIH-HUNG__llama-2-13b-FINETUNE5_4w-r4-q_k_v_o_gate_up_down/blob/main/results_2023-10-28T17-20-18.070512.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": 0.3329488255033557, "em_stderr": 0.0048262295177582465, "f1": 0.37401635906040315, "f1_stderr": 0.004743003734543155, "acc": 0.444993426772692, "acc_stderr": 0.010459654838365608 }, "harness\|drop\|3": { "em": 0.3329488255033557, "em_stderr": 0.0048262295177582465, "f1": 0.37401635906040315, "f1_stderr": 0.004743003734543155 }, "harness\|gsm8k\|5": { "acc": 0.12282031842304776, "acc_stderr": 0.009041108602874675 }, "harness\|winogrande\|5": { "acc": 0.7671665351223362, "acc_stderr": 0.011878201073856542 } } ``` ### 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]	[ -0.3785129189491272, -0.7429516315460205, 0.2394242286682129, 0.2519788146018982, -0.19272109866142273, 0.16472159326076508, -0.34346771240234375, -0.27316099405288696, 0.4466876685619354, 0.5370483994483948, -0.7093790173530579, -0.9183729887008667, -0.7258108258247375, 0.2351333349943161, -0.1951133906841278, 1.188031792640686, -0.28892773389816284, -0.20075227320194244, 0.10681889206171036, -0.23778314888477325, -0.4567817449569702, -0.382430762052536, -0.43167775869369507, 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open-llm-leaderboard/details_llm-agents__tora-70b-v1.0	open-llm-leaderboard	2023-10-28T23:05:01Z	328	0	[ "region:us" ]	null	2023-10-11T01:55:36Z	--- pretty_name: Evaluation run of llm-agents/tora-70b-v1.0 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [llm-agents/tora-70b-v1.0](https://huggingface.co/llm-agents/tora-70b-v1.0) on\ \ the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 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_llm-agents__tora-70b-v1.0\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-28T23:04:49.210564](https://huggingface.co/datasets/open-llm-leaderboard/details_llm-agents__tora-70b-v1.0/blob/main/results_2023-10-28T23-04-49.210564.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\": 0.3409186241610738,\n\ \ \"em_stderr\": 0.004854388549221249,\n \"f1\": 0.40523280201342454,\n\ \ \"f1_stderr\": 0.004724035643302926,\n \"acc\": 0.5286586128425962,\n\ \ \"acc_stderr\": 0.011273094879017436\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.3409186241610738,\n \"em_stderr\": 0.004854388549221249,\n\ \ \"f1\": 0.40523280201342454,\n \"f1_stderr\": 0.004724035643302926\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.23805913570887036,\n \ \ \"acc_stderr\": 0.011731278748420892\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.819258089976322,\n \"acc_stderr\": 0.010814911009613978\n\ \ }\n}\n```" repo_url: https://huggingface.co/llm-agents/tora-70b-v1.0 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_11T01_55_12.712768 path: - '/details_harness\|arc:challenge\|25_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-11T01-55-12.712768.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_28T23_04_49.210564 path: - '/details_harness\|drop\|3_2023-10-28T23-04-49.210564.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-28T23-04-49.210564.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_28T23_04_49.210564 path: - '/details_harness\|gsm8k\|5_2023-10-28T23-04-49.210564.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-28T23-04-49.210564.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hellaswag\|10_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-11T01-55-12.712768.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-11T01-55-12.712768.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_11T01_55_12.712768 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-11T01-55-12.712768.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-11T01-55-12.712768.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_28T23_04_49.210564 path: - '/details_harness\|winogrande\|5_2023-10-28T23-04-49.210564.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-28T23-04-49.210564.parquet' - config_name: results data_files: - split: 2023_10_11T01_55_12.712768 path: - results_2023-10-11T01-55-12.712768.parquet - split: 2023_10_28T23_04_49.210564 path: - results_2023-10-28T23-04-49.210564.parquet - split: latest path: - results_2023-10-28T23-04-49.210564.parquet --- # Dataset Card for Evaluation run of llm-agents/tora-70b-v1.0 ## Dataset Description - Homepage: - Repository: https://huggingface.co/llm-agents/tora-70b-v1.0 - 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 [llm-agents/tora-70b-v1.0](https://huggingface.co/llm-agents/tora-70b-v1.0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 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_llm-agents__tora-70b-v1.0", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-28T23:04:49.210564](https://huggingface.co/datasets/open-llm-leaderboard/details_llm-agents__tora-70b-v1.0/blob/main/results_2023-10-28T23-04-49.210564.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": 0.3409186241610738, "em_stderr": 0.004854388549221249, "f1": 0.40523280201342454, "f1_stderr": 0.004724035643302926, "acc": 0.5286586128425962, "acc_stderr": 0.011273094879017436 }, "harness\|drop\|3": { "em": 0.3409186241610738, "em_stderr": 0.004854388549221249, "f1": 0.40523280201342454, "f1_stderr": 0.004724035643302926 }, "harness\|gsm8k\|5": { "acc": 0.23805913570887036, "acc_stderr": 0.011731278748420892 }, "harness\|winogrande\|5": { "acc": 0.819258089976322, "acc_stderr": 0.010814911009613978 } } ``` ### 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]	[ -0.359741747379303, -0.6278603076934814, 0.28680872917175293, 0.2301313430070877, -0.16078908741474152, 0.2673272490501404, -0.2601628005504608, -0.1710371971130371, 0.5244385004043579, 0.5714935064315796, -0.7105487585067749, -0.9751557111740112, -0.632761538028717, 0.2466026246547699, -0.12616223096847534, 1.0541644096374512, -0.19567584991455078, -0.1725919097661972, 0.08432798087596893, -0.32075443863868713, -0.4337233304977417, -0.35212063789367676, -0.5839332342147827, 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open-llm-leaderboard/details_nicholasKluge__Aira-2-1B1	open-llm-leaderboard	2023-10-28T21:10:21Z	328	0	[ "region:us" ]	null	2023-10-11T03:37:19Z	--- pretty_name: Evaluation run of nicholasKluge/Aira-2-1B1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [nicholasKluge/Aira-2-1B1](https://huggingface.co/nicholasKluge/Aira-2-1B1) 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_nicholasKluge__Aira-2-1B1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-28T21:10:09.123262](https://huggingface.co/datasets/open-llm-leaderboard/details_nicholasKluge__Aira-2-1B1/blob/main/results_2023-10-28T21-10-09.123262.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\": 0.0,\n \"\ em_stderr\": 0.0,\n \"f1\": 0.003932466442953021,\n \"f1_stderr\"\ : 0.00031476990050976393,\n \"acc\": 0.2513812154696133,\n \"acc_stderr\"\ : 0.007026135605808218\n },\n \"harness\|drop\|3\": {\n \"em\": 0.0,\n\ \ \"em_stderr\": 0.0,\n \"f1\": 0.003932466442953021,\n \"\ f1_stderr\": 0.00031476990050976393\n },\n \"harness\|gsm8k\|5\": {\n \ \ \"acc\": 0.0,\n \"acc_stderr\": 0.0\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.5027624309392266,\n \"acc_stderr\": 0.014052271211616436\n\ \ }\n}\n```" repo_url: https://huggingface.co/nicholasKluge/Aira-2-1B1 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_11T03_37_00.814670 path: - '/details_harness\|arc:challenge\|25_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-11T03-37-00.814670.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_28T21_10_09.123262 path: - '/details_harness\|drop\|3_2023-10-28T21-10-09.123262.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-28T21-10-09.123262.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_28T21_10_09.123262 path: - '/details_harness\|gsm8k\|5_2023-10-28T21-10-09.123262.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-28T21-10-09.123262.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hellaswag\|10_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-11T03-37-00.814670.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-11T03-37-00.814670.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_11T03_37_00.814670 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-11T03-37-00.814670.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-11T03-37-00.814670.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_28T21_10_09.123262 path: - '/details_harness\|winogrande\|5_2023-10-28T21-10-09.123262.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-28T21-10-09.123262.parquet' - config_name: results data_files: - split: 2023_10_11T03_37_00.814670 path: - results_2023-10-11T03-37-00.814670.parquet - split: 2023_10_28T21_10_09.123262 path: - results_2023-10-28T21-10-09.123262.parquet - split: latest path: - results_2023-10-28T21-10-09.123262.parquet --- # Dataset Card for Evaluation run of nicholasKluge/Aira-2-1B1 ## Dataset Description - Homepage: - Repository: https://huggingface.co/nicholasKluge/Aira-2-1B1 - 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-2-1B1](https://huggingface.co/nicholasKluge/Aira-2-1B1) 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_nicholasKluge__Aira-2-1B1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-28T21:10:09.123262](https://huggingface.co/datasets/open-llm-leaderboard/details_nicholasKluge__Aira-2-1B1/blob/main/results_2023-10-28T21-10-09.123262.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": 0.0, "em_stderr": 0.0, "f1": 0.003932466442953021, "f1_stderr": 0.00031476990050976393, "acc": 0.2513812154696133, "acc_stderr": 0.007026135605808218 }, "harness\|drop\|3": { "em": 0.0, "em_stderr": 0.0, "f1": 0.003932466442953021, "f1_stderr": 0.00031476990050976393 }, "harness\|gsm8k\|5": { "acc": 0.0, "acc_stderr": 0.0 }, "harness\|winogrande\|5": { "acc": 0.5027624309392266, "acc_stderr": 0.014052271211616436 } } ``` ### 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]	[ -0.3245776295661926, -0.67291259765625, 0.15804482996463776, 0.18196964263916016, -0.1135975569486618, 0.04725654795765877, -0.3299265503883362, -0.186455637216568, 0.4917628765106201, 0.4468573331832886, -0.7405329346656799, -0.8243610858917236, -0.7114354968070984, 0.049902111291885376, -0.19389553368091583, 1.0476806163787842, -0.32490500807762146, -0.20753192901611328, 0.020231375470757484, -0.26296424865722656, -0.3375058174133301, -0.4684455096721649, -0.47869306802749634, 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open-llm-leaderboard/details_harborwater__open-llama-3b-everything-v2	open-llm-leaderboard	2023-10-29T00:44:10Z	328	0	[ "region:us" ]	null	2023-10-12T09:37:29Z	--- pretty_name: Evaluation run of harborwater/open-llama-3b-everything-v2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [harborwater/open-llama-3b-everything-v2](https://huggingface.co/harborwater/open-llama-3b-everything-v2)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 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_harborwater__open-llama-3b-everything-v2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-29T00:43:57.732775](https://huggingface.co/datasets/open-llm-leaderboard/details_harborwater__open-llama-3b-everything-v2/blob/main/results_2023-10-29T00-43-57.732775.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\": 0.0020973154362416107,\n\ \ \"em_stderr\": 0.0004685065030368325,\n \"f1\": 0.0560864093959733,\n\ \ \"f1_stderr\": 0.0013597729822813858,\n \"acc\": 0.341030820866541,\n\ \ \"acc_stderr\": 0.008350924483766176\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0020973154362416107,\n \"em_stderr\": 0.0004685065030368325,\n\ \ \"f1\": 0.0560864093959733,\n \"f1_stderr\": 0.0013597729822813858\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.01592115238817286,\n \ \ \"acc_stderr\": 0.0034478192723889915\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.6661404893449092,\n \"acc_stderr\": 0.013254029695143358\n\ \ }\n}\n```" repo_url: https://huggingface.co/harborwater/open-llama-3b-everything-v2 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_12T09_37_10.252705 path: - '/details_harness\|arc:challenge\|25_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-12T09-37-10.252705.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_29T00_43_57.732775 path: - '/details_harness\|drop\|3_2023-10-29T00-43-57.732775.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-29T00-43-57.732775.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_29T00_43_57.732775 path: - '/details_harness\|gsm8k\|5_2023-10-29T00-43-57.732775.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-29T00-43-57.732775.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hellaswag\|10_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-12T09-37-10.252705.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-12T09-37-10.252705.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_12T09_37_10.252705 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-12T09-37-10.252705.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-12T09-37-10.252705.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_29T00_43_57.732775 path: - '/details_harness\|winogrande\|5_2023-10-29T00-43-57.732775.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-29T00-43-57.732775.parquet' - config_name: results data_files: - split: 2023_10_12T09_37_10.252705 path: - results_2023-10-12T09-37-10.252705.parquet - split: 2023_10_29T00_43_57.732775 path: - results_2023-10-29T00-43-57.732775.parquet - split: latest path: - results_2023-10-29T00-43-57.732775.parquet --- # Dataset Card for Evaluation run of harborwater/open-llama-3b-everything-v2 ## Dataset Description - Homepage: - Repository: https://huggingface.co/harborwater/open-llama-3b-everything-v2 - 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 [harborwater/open-llama-3b-everything-v2](https://huggingface.co/harborwater/open-llama-3b-everything-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 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_harborwater__open-llama-3b-everything-v2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-29T00:43:57.732775](https://huggingface.co/datasets/open-llm-leaderboard/details_harborwater__open-llama-3b-everything-v2/blob/main/results_2023-10-29T00-43-57.732775.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": 0.0020973154362416107, "em_stderr": 0.0004685065030368325, "f1": 0.0560864093959733, "f1_stderr": 0.0013597729822813858, "acc": 0.341030820866541, "acc_stderr": 0.008350924483766176 }, "harness\|drop\|3": { "em": 0.0020973154362416107, "em_stderr": 0.0004685065030368325, "f1": 0.0560864093959733, "f1_stderr": 0.0013597729822813858 }, "harness\|gsm8k\|5": { "acc": 0.01592115238817286, "acc_stderr": 0.0034478192723889915 }, "harness\|winogrande\|5": { "acc": 0.6661404893449092, "acc_stderr": 0.013254029695143358 } } ``` ### 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]	[ -0.33813491463661194, -0.6759001612663269, 0.3481771647930145, 0.29834356904029846, -0.24874632060527802, 0.1567440778017044, -0.22157326340675354, -0.2552422285079956, 0.3784696161746979, 0.5859274864196777, -0.6267427206039429, -0.9918011426925659, -0.7116267085075378, 0.17066389322280884, -0.09117008745670319, 1.1026420593261719, -0.28805768489837646, -0.2613717317581177, 0.15034082531929016, -0.30188047885894775, -0.4762985408306122, -0.3327969014644623, -0.5339739322662354, 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disaster_response_messages	null	2023-01-25T14:29:29Z	327	3	[ "task_categories:text2text-generation", "task_categories:text-classification", "task_ids:intent-classification", "task_ids:sentiment-classification", "task_ids:text-simplification", "annotations_creators:expert-generated", "language_creators:crowdsourced", "multilinguality:multilingual", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "language:es", "language:fr", "language:ht", "language:ur", "license:unknown", "region:us" ]	[ "text2text-generation", "text-classification" ]	2022-03-02T23:29:22Z	--- annotations_creators: - expert-generated language_creators: - crowdsourced language: - en - es - fr - ht - ur license: - unknown multilinguality: - multilingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - text2text-generation - text-classification task_ids: - intent-classification - sentiment-classification - text-simplification pretty_name: Disaster Response Messages dataset_info: features: - name: split dtype: string - name: message dtype: string - name: original dtype: string - name: genre dtype: string - name: related dtype: class_label: names: '0': 'false' '1': 'true' '2': maybe - name: PII dtype: int8 - name: request dtype: class_label: names: '0': 'false' '1': 'true' - name: offer dtype: int8 - name: aid_related dtype: class_label: names: '0': 'false' '1': 'true' - name: medical_help dtype: class_label: names: '0': 'false' '1': 'true' - name: medical_products dtype: class_label: names: '0': 'false' '1': 'true' - name: search_and_rescue dtype: class_label: names: '0': 'false' '1': 'true' - name: security dtype: class_label: names: '0': 'false' '1': 'true' - name: military dtype: class_label: names: '0': 'false' '1': 'true' - name: child_alone dtype: int8 - name: water dtype: class_label: names: '0': 'false' '1': 'true' - name: food dtype: class_label: names: '0': 'false' '1': 'true' - name: shelter dtype: class_label: names: '0': 'false' '1': 'true' - name: clothing dtype: class_label: names: '0': 'false' '1': 'true' - name: money dtype: class_label: names: '0': 'false' '1': 'true' - name: missing_people dtype: class_label: names: '0': 'false' '1': 'true' - name: refugees dtype: class_label: names: '0': 'false' '1': 'true' - name: death dtype: class_label: names: '0': 'false' '1': 'true' - name: other_aid dtype: class_label: names: '0': 'false' '1': 'true' - name: infrastructure_related dtype: class_label: names: '0': 'false' '1': 'true' - name: transport dtype: class_label: names: '0': 'false' '1': 'true' - name: buildings dtype: class_label: names: '0': 'false' '1': 'true' - name: electricity dtype: class_label: names: '0': 'false' '1': 'true' - name: tools dtype: class_label: names: '0': 'false' '1': 'true' - name: hospitals dtype: class_label: names: '0': 'false' '1': 'true' - name: shops dtype: class_label: names: '0': 'false' '1': 'true' - name: aid_centers dtype: class_label: names: '0': 'false' '1': 'true' - name: other_infrastructure dtype: class_label: names: '0': 'false' '1': 'true' - name: weather_related dtype: class_label: names: '0': 'false' '1': 'true' - name: floods dtype: class_label: names: '0': 'false' '1': 'true' - name: storm dtype: class_label: names: '0': 'false' '1': 'true' - name: fire dtype: class_label: names: '0': 'false' '1': 'true' - name: earthquake dtype: class_label: names: '0': 'false' '1': 'true' - name: cold dtype: class_label: names: '0': 'false' '1': 'true' - name: other_weather dtype: class_label: names: '0': 'false' '1': 'true' - name: direct_report dtype: class_label: names: '0': 'false' '1': 'true' splits: - name: train num_bytes: 10060799 num_examples: 21046 - name: test num_bytes: 1253810 num_examples: 2629 - name: validation num_bytes: 1266874 num_examples: 2573 download_size: 7201807 dataset_size: 12581483 --- # Dataset Card for Disaster Response Messages ## 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: [HomePage](https://appen.com/datasets/combined-disaster-response-data/) - Repository: [Repo to Download the Dataset](https://datasets.appen.com/appen_datasets/disaster_response_data/disaster_response_messages_training.csv) - Paper: - Leaderboard: - Point of Contact: [Darshan Gandhi]([email protected]) ### Dataset Summary This dataset contains 30,000 messages drawn from events including an earthquake in Haiti in 2010, an earthquake in Chile in 2010, floods in Pakistan in 2010, super-storm Sandy in the U.S.A. in 2012, and news articles spanning a large number of years and 100s of different disasters. The data has been encoded with 36 different categories related to disaster response and has been stripped of messages with sensitive information in their entirety. Upon release, this is the featured dataset of a new Udacity course on Data Science and the AI4ALL summer school and is especially utile for text analytics and natural language processing (NLP) tasks and models.The input data in this job contains thousands of untranslated disaster-related messages and their English translations. In the “Data” tab above, you’ll find the annotated data, with 40 class labels for intent and content. ### Supported Tasks and Leaderboards The input data in this job contains thousands of untranslated disaster-related messages and their English translations. In the dataset, you’ll find the annotated data, with 40 class labels for intent and content. This dataset contains the original message in its original language, the English translation, and dozens of classes for message content. These classes are noted in column titles with a simple binary 1= yes, 0=no. ### Languages The dataset is a multilingual dataset which has the messages in the original language and also it's translated English form. ## Dataset Structure ### Data Instances The dataset consists of a message in English and also it's original language form. Adding on, there are 40 labels which help to understand more about the exact essence of the message. Example of a Disaster Response : { 'split': 'train', 'message': 'Weather update - a cold front from Cuba that could pass over Haiti', 'original': 'Un front froid se retrouve sur Cuba ce matin. Il pourrait traverser Haiti demain. Des averses de pluie isolee sont encore prevues sur notre region ce soi', 'genre': 'direct', 'related': 1, 'PII': 0, 'request': 0, 'offer': 0, 'aid_related': 0, 'medical_help': 0, 'medical_products': 0, 'search_and_rescue': 0, 'security': 0, 'military': 0, 'child_alone': 0, 'water': 0, 'food': 0, 'shelter': 0, 'clothing': 0, 'money': 0, 'missing_people': 0, 'refugees': 0, 'death': 0, 'other_aid': 0, 'infrastructure_related': 0, 'transport': 0, 'buildings': 0, 'electricity': 0, 'tools': 0, 'hospitals': 0, 'shops': 0, 'aid_centers': 0, 'other_infrastructure': 0, 'weather_related': 0, 'floods': 0, 'storm': 0, 'fire': 0, 'earthquake': 0, 'cold': 0, 'other_weather': 0, 'direct_report': 0} ### Data Fields split: Train, Test split</br> message: English text of actual messages related to disaster </br> original: Text of column 3 in native language as originally written</br> genre: Type of message, including direct messages, social posting, and news stories or bulletins</br> related: Is the message disaster related? 1= yes, 0=no, 2=maybe</br> PII: Does the message contain PII? 1= yes, 0=no </br> request: Does the message contain a request? 1= yes, 0=no </br> offer: Does the message contain an offer? 1= yes, 0=no </br> aid_related: Is the message aid related? 1= yes, 0=no </br> medical_help: Does the message concern medical help? 1= yes, 0=no </br> medical_products: Does the message concern medical products? 1= yes, 0=no </br> search_and_rescue: Does the message concern search and rescue? 1= yes, 0=no </br> security: Does the message concern security? 1= yes, 0=no </br> military: Does the message concern military? 1= yes, 0=no </br> child_alone: Does the message mention a child alone? 1= yes, 0=no</br> water: Does the message concern water? 1= yes, 0=no</br> food: Does the message concern food? 1= yes, 0=no </br> shelter: Does the message concern shelter? 1= yes, 0=no </br> clothing: Does the message concern clothing? 1= yes, 0=no </br> money: Does the message concern money? 1= yes, 0=no </br> missing_people: Does the message indicate missing people? 1= yes, 0=no</br> refugees: Does the message concern refugess? 1= yes, 0=no</br> death: Does the message imply death? 1= yes, 0=no </br> other_aid: Is there any other aid needed? 1=yes, 0=no </br> infrastructure_related: Does the message concern infrastructure? 1= yes, 0=no </br> transport: Does the message concern transport? 1= yes, 0=no </br> buildings: Does the message concern buildings? 1= yes, 0=no </br> electricity: Does the message concern electricity? 1= yes, 0=no </br> tools: Does the message concern tools? 1= yes, 0=no </br> hospitals: Does the message concern clothing? 1= yes, 0=no </br> shops: Does the message concern clothing? 1= yes, 0=no </br> aid_centers:Does the message concern clothing? 1= yes, 0=no </br> other_infrastructure:Does the message concern clothing? 1= yes, 0=no </br> weather_related: Does the message concern weather? 1= yes, 0=no</br> floods: Does the message indicate there was a flood? 1= yes, 0=no</br> storm: Does the message indicate there was a storm? 1= yes, 0=no </br> fire: Does the message indicate there was a fire? 1= yes, 0=no</br> earthquake: Does the message indicate there was an earthquake? 1= yes, 0=no</br> cold: Does the message indicate there was a cold? 1= yes, 0=no</br> other_weather: Does the message indicate there was other weather issues? 1= yes, 0=no</br> *direct_report: Does the show a direct report? 1= yes, 0=no ### Data Splits \|train\|test \|validation\| \|:----:\|:-----------:\|:----:\| \|21046\|2629\|2573\| ## Dataset Creation ### Curation Rationale The dataset was built to understand about the sentiments of the citizens and also more about want was the emergency about and what kind of help they were seeking ### 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 The dataset has a great usecase of understand more about the sentiments of the citizens around the globe during a disaster and how their responses are. Also, it helps the government to understand their citizens better and would eventually help to draft better policies accordingly. ### Discussion of Biases The messages since have been translated in English may not be able to judically imply the exact significance of the individual when they would have posted the message ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators The dataset was initially created by [Appen](https://appen.com/) ### Licensing Information [More Information Needed] ### Citation Information [Multilingual Disaster Response Messages](https://appen.com/datasets/combined-disaster-response-data/) ### Contributions Thanks to [@darshan-gandhi](https://github.com/darshan-gandhi) for adding this dataset.	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UBC-NLP/orca	UBC-NLP	2023-11-22T17:56:13Z	327	4	[ "task_categories:text-classification", "task_categories:token-classification", "task_categories:question-answering", "language:ara", "Arabic", "NLU Benchmark", "Natural Language Inference (NLI)", "Question Answering (QA)", "Semantic Textual Similarity and and Paraphrase (STSP)", "Sentence Classification (SC)", "Structure Predictions (SP)", "Topic Classification (TC)", "Word Sense Disambiguation (WSD)", "arxiv:2212.10758", "arxiv:2004.01401", "region:us" ]	[ "text-classification", "token-classification", "question-answering" ]	2022-03-10T19:45:30Z	--- viewer: false language: - ara tags: - Arabic - NLU Benchmark - Natural Language Inference (NLI) - Question Answering (QA) - Semantic Textual Similarity and and Paraphrase (STSP) - Sentence Classification (SC) - Structure Predictions (SP) - Topic Classification (TC) - Word Sense Disambiguation (WSD) task_categories: - text-classification - token-classification - question-answering extra_gated_fields: Name: text Official Email (email of your organization): text Affilation: text Country: text I agree to use this dataset for non-commercial use ONLY: checkbox I agree to cite the ORCA paper and all original papers: checkbox --- <p align="center"> <br> <img src="https://orca.dlnlp.ai/assets/orca_logo.png" width="55%"/> <br> <p> <p align="center"> <!-- <a href="https://github.com/UBC-NLP/orca/releases"> --> <!-- <img alt="GitHub release" src="https://img.shields.io/github/release/UBC-NLP/orca.svg"> </a>--> <a href="https://orca.dlnlp.ai/"> <img alt="Documentation" src="https://img.shields.io/website.svg?down_color=red&down_message=offline&up_message=online&url=https://orca.dlnlp.ai"> </a> <!-- <a href="https://github.com/UBC-NLP/orca/blob/main/LICENSE"><img alt="GitHub license" src="https://img.shields.io/github/license/UBC-NLP/orca?logoColor=blue"></a> --> <!-- <a href='https://orca.readthedocs.io/en/latest/?badge=latest'><img src='https://readthedocs.org/projects/orca/badge/?version=latest' alt='Documentation Status' /></a> --> <!-- <a href="https://github.com/UBC-NLP/orca/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/UBC-NLP/orca"></a> <!-- <a href="https://github.com/UBC-NLP/orca/network"><img alt="GitHub forks" src="https://img.shields.io/github/forks/UBC-NLP/orca"></a> --> </p> In this work, we introduce [ORCA](https://arxiv.org/abs/2212.10758), a publicly available benchmark for Arabic language understanding evaluation. ORCA is carefully constructed to cover diverse Arabic varieties and a wide range of challenging Arabic understanding tasks exploiting 60 different datasets across seven NLU task clusters. To measure current progress in Arabic NLU, we use ORCA to offer a comprehensive comparison between 18 multilingual and Arabic language models. # ORCA Task Cluster We arrange [ORCA](https://arxiv.org/abs/2212.10758), into seven NLU task clusters. These are (1) sentence classification, (2) structured prediction (3) semantic textual similarity and paraphrase, (4) text classification, (5) natural language inference, (6) word sense disambiguation, and (7) question answering. ### (1) Natural Language Inference (NLI) \|Task\| Variation \| Metric \| Reference \| \|---------\|--------\|--------\|------\| \|[ANS Stance](https://aclanthology.org/2020.fever-1.2/) \|MSA \| Macro F1 \| [(Khouja, 2020)](https://aclanthology.org/2020.fever-1.2/) \| \|[Baly Stance](https://aclanthology.org/N18-2004/) \|MSA \| Macro F1 \| [(Balyet al., 2018)](https://aclanthology.org/N18-2004/) \| \|[XLNI](https://github.com/facebookresearch/XNLI) \|MSA \| Macro F1 \| [(Conneau et al., 2018)](https://github.com/facebookresearch/XNLI)\| ### (2) Question Answering (QA) \|Task\| Variation \| Metric \| Reference \| \|---------\|--------\|--------\|------\| \|[Question Answering](https://aclanthology.org/2021.acl-long.551/) \|MSA \| Macro F1 \| [(Abdul-Mageed et al., 2020a)](https://aclanthology.org/2021.acl-long.551/) \| ### (3) Semantic Textual Similarity and Paraphrase (STSP) \|Task\| Variation \| Metric \| Reference \| \|---------\|--------\|--------\|-------\| \|[Emotion Regression](https://aclanthology.org/S18-1001/) \|MSA \| Spearman Correlation\| [(Saif et al., 2018)](https://aclanthology.org/S18-1001/) \| \|[MQ2Q](https://aclanthology.org/2019.nsurl-1.1) \|MSA \| Macro F1 \| [(Seelawi al., 2019)](https://aclanthology.org/2019.nsurl-1.1) \| \|[STS](https://aclanthology.org/S17-2001/) \|MSA \| Macro F1 \| [(Cer et al., 2017)](https://aclanthology.org/S17-2001/) \| ### (4) Sentence Classification (SC) \|Task\| Variation \| Metric \| Reference \| \|---------\|--------\|--------\|-------\| \|[Abusive](https://aclanthology.org/W19-3512/) \|DA \| Macro F1 \| [(Mulki et al., 2019)](https://aclanthology.org/W19-3512/) \| \|[Adult](https://aclanthology.org/2021.wanlp-1.14) \|DA \| Macro F1 \| [(Mubarak et al., 2021)](https://aclanthology.org/2021.wanlp-1.14) \| \|[Age](https://www.aclweb.org/anthology/2020.osact-1.3) \|DA \| Macro F1 \| [(Abdul-Mageed et al., 2020b)]( https://aclanthology.org/2020.osact-1.3/) \| \|[ANS Claim](https://aclanthology.org/2020.fever-1.2/) \|MSA \| Macro F1 \| [(Khouja, 2020)](https://aclanthology.org/2020.fever-1.2/) \| \|[Dangerous ](https://aclanthology.org/N18-2004/) \|DA \| Macro F1 \| [(Alshehri et al., 2020)](https://www.aclweb.org/anthology/2020.osact-1.6)\| \|[Dialect Binary](https://github.com/facebookresearch/XNLI) \|DA \| Macro F1 \| [(Farha, 2020)](https://aclanthology.org/2020.osact-1.5/), [(Zaidan, 2014)](https://www.aclweb.org/anthology/J14-1006), [(Abdul-Mageed et al., 2020c)](https://aclanthology.org/2021.acl-long.551/), [(Bouamor et al., 2019)](https://www.aclweb.org/anthology/W19-4622), [(Abdelaliet al., 2020)](https://aclanthology.org/2021.wanlp-1.1), [(El-Haj, 2020)](https://aclanthology.org/2020.lrec-1.165/). \| \|[Dialect Country](https://github.com/facebookresearch/XNLI) \|DA \| Macro F1 \| [(Farha, 2020)](https://aclanthology.org/2020.osact-1.5/), [(Zaidan, 2014)](https://www.aclweb.org/anthology/J14-1006), [(Abdul-Mageed et al., 2020c)](https://aclanthology.org/2021.acl-long.551/), [(Bouamor et al., 2019)](https://www.aclweb.org/anthology/W19-4622), [(Abdelaliet al., 2020)](https://aclanthology.org/2021.wanlp-1.1), [(El-Haj, 2020)](https://aclanthology.org/2020.lrec-1.165/). \| \|[Dialect Region](https://github.com/facebookresearch/XNLI) \|DA \| Macro F1 \| [(Farha, 2020)](https://aclanthology.org/2020.osact-1.5/), [(Zaidan, 2014)](https://www.aclweb.org/anthology/J14-1006), [(Abdul-Mageed et al., 2020c)](https://aclanthology.org/2021.acl-long.551/), [(Bouamor et al., 2019)](https://www.aclweb.org/anthology/W19-4622), [(Abdelaliet al., 2020)](https://aclanthology.org/2021.wanlp-1.1), [(El-Haj, 2020)](https://aclanthology.org/2020.lrec-1.165/). \| \|[Emotion](https://www.aclweb.org/anthology/2020.osact-1.3) \|DA \| Macro F1 \| [(Abdul-Mageed et al., 2020b)]( https://aclanthology.org/2020.osact-1.3/) \| \|[Gender](https://www.aclweb.org/anthology/2020.osact-1.3) \|DA \| Macro F1 \| [(Abdul-Mageed et al., 2020b)]( https://aclanthology.org/2020.osact-1.3/) \| \|[Hate Speech](https://www.aclweb.org/anthology/2020.osact-1.7) \|DA \| Macro F1 \| [(Mubarak et al., 2020)](https://www.aclweb.org/anthology/2020.osact-1.7)\| \|[Irony](https://dl.acm.org/doi/10.1145/3368567.3368585) \|DA \| Macro F1 \| [(Ghanem al., 2019)](https://dl.acm.org/doi/10.1145/3368567.3368585) \| \|[Machine Generation](https://aclanthology.org/2020.wanlp-1.7/) \|MSA \| Macro F1 \| [(Nagoudi et al., 2020)](https://aclanthology.org/2020.wanlp-1.7/) \| \|[Offensive](https://aclanthology.org/2020.osact-1.8/) \|DA \| Macro F1 \| [(Mubarak et al., 2020)](https://www.aclweb.org/anthology/2020.osact-1.7)\| \|[Sarcasm](https://aclanthology.org/N18-2004/) \|DA \| Macro F1 \| [(Farha and Magdy, 2020)](https://aclanthology.org/2020.osact-1.5/) \| \|[Sentiment Analysis](https://aclanthology.org/2021.acl-long.551/) \|DA \| Macro F1 \| [(Abdul-Mageed et al., 2020c)](https://aclanthology.org/2021.acl-long.551/) \| ### (5) Structure Predictions (SP) \|Task\| Variation \| Metric \| Reference \| \|---------\|--------\|--------\|-------\| \|[Aqmar NER](https://www.cs.cmu.edu/~ark/ArabicNER/) \|MSA \| Macro F1 \| [(Mohit, 2012)](https://www.cs.cmu.edu/~ark/ArabicNER/) \| \|[Arabic NER Corpus](http://www.dsic.upv.es/~prosso/resources/BenajibaRosso_IICAI07.pdf) \|MSA \| Macro F1 \| [(Benajiba and Rosso, 2007)](http://www.dsic.upv.es/~prosso/resources/BenajibaRosso_IICAI07.pdf) \| \|[Dialect Part Of Speech](https://aclanthology.org/L18-1015.pdf) \|DA \| Macro F1 \| [(Darwish et al., 2018)](https://aclanthology.org/L18-1015.pdf) \| \|[MSA Part Of Speech](https://arxiv.org/abs/2004.01401) \|MSA \| Macro F1 \| [(Liang et al., 2020)](https://arxiv.org/abs/2004.01401) \| ### (6) Topic Classification (TC) \|Task\| Variation \| Metric \| Reference \| \|---------\|--------\|--------\|-------\| \|[Topic](https://aclanthology.org/2021.acl-long.551/) \|MSA \| Macro F1 \| [(Abbas et al.,2011)](https://www.dline.info/fpaper/jdim/v9i5/1.pdf), [(Chouigui et al.,2017)](https://www.researchgate.net/publication/320871871_Poster_ANT_Corpus_An_Arabic_News_Text_Collection_for_Textual_Classification), [(Saad, 2010)](http://site.iugaza.edu.ps/wp-content/uploads/mksaad-OSAC-OpenSourceArabicCorpora-EECS10-rev9(1).pdf). \| ### (7) Word Sense Disambiguation (WSD) \|Task\| Variation \| Metric \| Reference \| \|---------\|--------\|--------\|-------\| \|[Word Sense Disambiguation](https://www.mdpi.com/2076-3417/11/6/2567) \|MSA \| Macro F1 \| [(El-Razzaz, 2021)](https://www.mdpi.com/2076-3417/11/6/2567) \| # How to Use ORCA ### Request Access ### To obtain access to the ORCA benchmark on Huggingface, follow the following steps: - Login on your Haggingface account <img src="https://raw.githubusercontent.com/UBC-NLP/orca/main/orca_request1.png" width="70%"/> - Request access <img src="https://raw.githubusercontent.com/UBC-NLP/orca/main/orca_request2.png" width="70%"/> ### Install Requirments ```shell pip install datasets transformers seqeval ``` ### Login with your Huggingface CLI ### You can get/manage your access tokens in your [settings](https://huggingface.co/docs/hub/security-tokens). ```shell export HUGGINGFACE_TOKEN="" huggingface-cli login --token $HUGGINGFACE_TOKEN ``` ### Fine-tuning a model on ORCA tasks We provide a Google Colab Notebook that includes instructions for fine-tuning any model on ORCA tasks. <a href="https://colab.research.google.com/github/UBC-NLP/orca/blob/main/Finetuning_ORCA.ipynb"><img alt="colab" src="https://colab.research.google.com/assets/colab-badge.svg"> ### Submitting your results on ORCA test We design a public leaderboard for scoring PLMs on ORCA. Our leaderboard is interactive and offers rich meta-data about the various datasets involved as well as the language models we evaluate. You can evalute your models using ORCA leaderboard: [https://orca.dlnlp.ai](https://orca.dlnlp.ai/) --- ## Citation If you use ORCA for your scientific publication, or if you find the resources in this repository useful, please cite our paper as follows: ``` @inproceedings{elmadany-etal-2023-orca, title = "{ORCA}: A Challenging Benchmark for {A}rabic Language Understanding", author = "Elmadany, AbdelRahim and Nagoudi, ElMoatez Billah and Abdul-Mageed, Muhammad", booktitle = "Findings of the Association for Computational Linguistics: ACL 2023", month = jul, year = "2023", address = "Toronto, Canada", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2023.findings-acl.609", pages = "9559--9586", } ``` --- ## Acknowledgments We gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada, the Social Sciences and Humanities Research Council of Canada, Canadian Foundation for Innovation, [ComputeCanada](www.computecanada.ca) and [UBC ARC-Sockeye](https://doi.org/10.14288/SOCKEYE). We also thank the [Google TensorFlow Research Cloud (TFRC)](https://www.tensorflow.org/tfrc) program for providing us with free TPU access.	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FedML/databricks-dolly-15k-niid	FedML	2023-09-05T12:03:26Z	327	0	[ "size_categories:10K<n<100K", "language:en", "license:cc-by-sa-3.0", "region:us" ]	null	2023-09-01T09:51:54Z	--- license: cc-by-sa-3.0 language: - en size_categories: - 10K<n<100K configs: - config_name: default default: true data_files: - split: train path: "train.parquet" - split: test path: "test.parquet" dataset_info: config_name: default features: - name: instruction dtype: string - name: context dtype: string - name: response dtype: string - name: category dtype: string --- This is a Non-IID split version of [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k).	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open-llm-leaderboard/details_TigerResearch__tigerbot-7b-base	open-llm-leaderboard	2023-10-26T07:32:31Z	327	0	[ "region:us" ]	null	2023-10-26T07:32:24Z	--- pretty_name: Evaluation run of TigerResearch/tigerbot-7b-base dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [TigerResearch/tigerbot-7b-base](https://huggingface.co/TigerResearch/tigerbot-7b-base)\ \ 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 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_TigerResearch__tigerbot-7b-base\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-26T07:32:19.507473](https://huggingface.co/datasets/open-llm-leaderboard/details_TigerResearch__tigerbot-7b-base/blob/main/results_2023-10-26T07-32-19.507473.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\": 0.008284395973154363,\n\ \ \"em_stderr\": 0.0009282472025612859,\n \"f1\": 0.0630316694630872,\n\ \ \"f1_stderr\": 0.0015568932363703221,\n \"acc\": 0.4022740314737014,\n\ \ \"acc_stderr\": 0.010745030991055528\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.008284395973154363,\n \"em_stderr\": 0.0009282472025612859,\n\ \ \"f1\": 0.0630316694630872,\n \"f1_stderr\": 0.0015568932363703221\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.10841546626231995,\n \ \ \"acc_stderr\": 0.008563852506627483\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.6961325966850829,\n \"acc_stderr\": 0.012926209475483574\n\ \ }\n}\n```" repo_url: https://huggingface.co/TigerResearch/tigerbot-7b-base 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_10_26T07_32_19.507473 path: - '/details_harness\|drop\|3_2023-10-26T07-32-19.507473.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-26T07-32-19.507473.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_26T07_32_19.507473 path: - '/details_harness\|gsm8k\|5_2023-10-26T07-32-19.507473.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-26T07-32-19.507473.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_26T07_32_19.507473 path: - '/details_harness\|winogrande\|5_2023-10-26T07-32-19.507473.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-26T07-32-19.507473.parquet' - config_name: results data_files: - split: 2023_10_26T07_32_19.507473 path: - results_2023-10-26T07-32-19.507473.parquet - split: latest path: - results_2023-10-26T07-32-19.507473.parquet --- # Dataset Card for Evaluation run of TigerResearch/tigerbot-7b-base ## Dataset Description - Homepage: - Repository: https://huggingface.co/TigerResearch/tigerbot-7b-base - 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 [TigerResearch/tigerbot-7b-base](https://huggingface.co/TigerResearch/tigerbot-7b-base) 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 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_TigerResearch__tigerbot-7b-base", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-26T07:32:19.507473](https://huggingface.co/datasets/open-llm-leaderboard/details_TigerResearch__tigerbot-7b-base/blob/main/results_2023-10-26T07-32-19.507473.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": 0.008284395973154363, "em_stderr": 0.0009282472025612859, "f1": 0.0630316694630872, "f1_stderr": 0.0015568932363703221, "acc": 0.4022740314737014, "acc_stderr": 0.010745030991055528 }, "harness\|drop\|3": { "em": 0.008284395973154363, "em_stderr": 0.0009282472025612859, "f1": 0.0630316694630872, "f1_stderr": 0.0015568932363703221 }, "harness\|gsm8k\|5": { "acc": 0.10841546626231995, "acc_stderr": 0.008563852506627483 }, "harness\|winogrande\|5": { "acc": 0.6961325966850829, "acc_stderr": 0.012926209475483574 } } ``` ### 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]	[ -0.4286707639694214, -0.6070997714996338, 0.18631276488304138, 0.23341995477676392, -0.228511244058609, 0.15781456232070923, -0.3507031798362732, -0.15156877040863037, 0.4512183964252472, 0.5937366485595703, -0.6875478625297546, -0.9261060357093811, -0.5571643710136414, 0.21704816818237305, -0.11908554285764694, 1.1557034254074097, -0.16020341217517853, -0.2977215647697449, 0.05809357017278671, -0.3719746470451355, -0.35292860865592957, -0.5299541354179382, -0.5370778441429138, 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hate_speech_pl	null	2022-11-03T16:15:27Z	326	2	[ "task_categories:text-classification", "task_ids:text-scoring", "task_ids:multi-class-classification", "task_ids:multi-label-classification", "task_ids:sentiment-classification", "task_ids:sentiment-scoring", "task_ids:topic-classification", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:pl", "license:cc-by-nc-sa-3.0", "region:us" ]	[ "text-classification" ]	2022-03-02T23:29:22Z	--- annotations_creators: - expert-generated language_creators: - found language: - pl license: - cc-by-nc-sa-3.0 multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - text-classification task_ids: - text-scoring - multi-class-classification - multi-label-classification - sentiment-classification - sentiment-scoring - topic-classification paperswithcode_id: null pretty_name: HateSpeechPl dataset_info: features: - name: id dtype: uint16 - name: text_id dtype: uint32 - name: annotator_id dtype: uint8 - name: minority_id dtype: uint8 - name: negative_emotions dtype: bool - name: call_to_action dtype: bool - name: source_of_knowledge dtype: uint8 - name: irony_sarcasm dtype: bool - name: topic dtype: uint8 - name: text dtype: string - name: rating dtype: uint8 splits: - name: train num_bytes: 3436190 num_examples: 13887 download_size: 3877954 dataset_size: 3436190 --- # Dataset Card for HateSpeechPl ## 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: http://zil.ipipan.waw.pl/HateSpeech - Repository: [N/A] - Paper: http://www.qualitativesociologyreview.org/PL/Volume38/PSJ_13_2_Troszynski_Wawer.pdf - Leaderboard: [N/A] - Point of Contact: [Marek Troszyński]([email protected]), [Aleksander Wawer]([email protected]) ### Dataset Summary The dataset was created to analyze the possibility of automating the recognition of hate speech in Polish. It was collected from the Polish forums and represents various types and degrees of offensive language, expressed towards minorities. The original dataset is provided as an export of MySQL tables, what makes it hard to load. Due to that, it was converted to CSV and put to a Github repository. ### Supported Tasks and Leaderboards - `text-classification`: The dataset might be used to perform the text classification on different target fields, like the presence of irony/sarcasm, minority it describes or a topic. - `text-scoring`: The sentiment analysis is another task which might be solved on a dataset. ### Languages Polish, collected from public forums, including the HTML formatting of the text. ## Dataset Structure ### Data Instances The dataset consists of three collections, originally provided as separate MySQL tables. Here represented as three CSV files. ``` { 'id': 1, 'text_id': 121713, 'annotator_id': 1, 'minority_id': 72, 'negative_emotions': false, 'call_to_action': false, 'source_of_knowledge': 2, 'irony_sarcasm': false, 'topic': 18, 'text': ' <font color=\"blue\"> Niemiec</font> mówi co innego', 'rating': 0 } ``` ### Data Fields List and describe the fields present in the dataset. Mention their data type, and whether they are used as input or output in any of the tasks the dataset currently supports. If the data has span indices, describe their attributes, such as whether they are at the character level or word level, whether they are contiguous or not, etc. If the datasets contains example IDs, state whether they have an inherent meaning, such as a mapping to other datasets or pointing to relationships between data points. - `id`: unique identifier of the entry - `text_id`: text identifier, useful when a single text is rated several times by different annotators - `annotator_id`: identifier of the person who annotated the text - `minority_id`: the internal identifier of the minority described in the text - `negative_emotions`: boolean indicator of the presence of negative emotions in the text - `call_to_action`: boolean indicator set to true, if the text calls the audience to perform any action, typically with a negative emotions - `source_of_knowledge`: categorical variable, describing the source of knowledge for the post rating - 0, 1 or 2 (direct, lexical or contextual, but the description of the meaning for different values couldn't be found) - `irony_sarcasm`: boolean indicator of the present of irony or sarcasm - `topic`: internal identifier of the topic the text is about - `text`: post text content - `rating`: integer value, from 0 to 4 - the higher the value, the more negative the text content is ### Data Splits The dataset was not originally split at all. ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data The dataset was collected from the public forums. [More Information Needed] #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations [More Information Needed] #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information The dataset doesn't contain any personal or sensitive information. ## Considerations for Using the Data ### Social Impact of Dataset The automated hate speech recognition is the main beneficial outcome of using the dataset. ### Discussion of Biases The dataset contains negative posts only and due to that might underrepresent the whole language. ### Other Known Limitations Dataset provided for research purposes only. Please check dataset license for additional information. ## Additional Information ### Dataset Curators The dataset was created by Marek Troszyński and Aleksander Wawer, during work done at [IPI PAN](https://www.ipipan.waw.pl/). ### Licensing Information According to [Metashare](http://metashare.nlp.ipipan.waw.pl/metashare/repository/browse/polish-hatespeech-corpus/21b7e2366b0011e284b6000423bfd61cbc7616f601724f09bafc8a62c42d56de/), the dataset is licensed under CC-BY-NC-SA, but the version is not mentioned. ### Citation Information ``` @article{troszynski2017czy, title={Czy komputer rozpozna hejtera? Wykorzystanie uczenia maszynowego (ML) w jako{\'s}ciowej analizie danych}, author={Troszy{\'n}ski, Marek and Wawer, Aleksandra}, journal={Przegl{\k{a}}d Socjologii Jako{\'s}ciowej}, volume={13}, number={2}, pages={62--80}, year={2017}, publisher={Uniwersytet {\L}{\'o}dzki, Wydzia{\l} Ekonomiczno-Socjologiczny, Katedra Socjologii~…} } ``` ### Contributions Thanks to [@kacperlukawski](https://github.com/kacperlukawski) for adding this dataset.	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bigscience/xP3	bigscience	2023-05-30T15:49:59Z	326	88	[ "task_categories:other", "annotations_creators:expert-generated", "annotations_creators:crowdsourced", "multilinguality:multilingual", "size_categories:100M<n<1B", "language:ak", "language:ar", "language:as", "language:bm", "language:bn", "language:ca", "language:code", "language:en", "language:es", "language:eu", "language:fon", "language:fr", "language:gu", "language:hi", "language:id", "language:ig", "language:ki", "language:kn", "language:lg", "language:ln", "language:ml", "language:mr", "language:ne", "language:nso", "language:ny", "language:or", "language:pa", "language:pt", "language:rn", "language:rw", "language:sn", "language:st", "language:sw", "language:ta", "language:te", "language:tn", "language:ts", "language:tum", "language:tw", "language:ur", "language:vi", "language:wo", "language:xh", "language:yo", "language:zh", "language:zu", "license:apache-2.0", "arxiv:2211.01786", "region:us" ]	[ "other" ]	2022-10-10T10:38:53Z	--- annotations_creators: - expert-generated - crowdsourced language: - ak - ar - as - bm - bn - ca - code - en - es - eu - fon - fr - gu - hi - id - ig - ki - kn - lg - ln - ml - mr - ne - nso - ny - or - pa - pt - rn - rw - sn - st - sw - ta - te - tn - ts - tum - tw - ur - vi - wo - xh - yo - zh - zu programming_language: - C - C++ - C# - Go - Java - JavaScript - Lua - PHP - Python - Ruby - Rust - Scala - TypeScript license: - apache-2.0 multilinguality: - multilingual pretty_name: xP3 size_categories: - 100M<n<1B task_categories: - other --- # Dataset Card for xP3 ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Additional Information](#additional-information) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Repository: https://github.com/bigscience-workshop/xmtf - Paper: [Crosslingual Generalization through Multitask Finetuning](https://arxiv.org/abs/2211.01786) - Point of Contact: [Niklas Muennighoff](mailto:[email protected]) ### Dataset Summary > xP3 (Crosslingual Public Pool of Prompts) is a collection of prompts & datasets across 46 of languages & 16 NLP tasks. It is used for the training of BLOOMZ and mT0, multilingual language models capable of following human instructions in dozens of languages zero-shot. - Creation: The dataset can be recreated using instructions available [here](https://github.com/bigscience-workshop/xmtf#create-xp3). We provide this version to save processing time and ease reproducibility. - Languages: 46 (Can be extended by [recreating with more splits](https://github.com/bigscience-workshop/xmtf#create-xp3)) - xP3 Dataset Family: <table> <tr> <th>Name</th> <th>Explanation</th> <th>Example models</th> </tr> <tr> <td><a href=https://huggingface.co/datasets/Muennighoff/xP3x>xP3x</a></t> <td>Mixture of 17 tasks in 277 languages with English prompts</td> <td>WIP - Join us at Project Aya @<a href=https://cohere.for.ai/>C4AI</a> to help!</td> </tr> <tr> <td><a href=https://huggingface.co/datasets/bigscience/xP3>xP3</a></t> <td>Mixture of 13 training tasks in 46 languages with English prompts</td> <td><a href=https://huggingface.co/bigscience/bloomz>bloomz</a> & <a href=https://huggingface.co/bigscience/mt0-xxl>mt0-xxl</a></td> </tr> <tr> <td><a href=https://huggingface.co/datasets/bigscience/xP3mt>xP3mt</a></t> <td>Mixture of 13 training tasks in 46 languages with prompts in 20 languages (machine-translated from English)</td> <td><a href=https://huggingface.co/bigscience/bloomz-mt>bloomz-mt</a> & <a href=https://huggingface.co/bigscience/mt0-xxl-mt>mt0-xxl-mt</a></td> </tr> <tr> <td><a href=https://huggingface.co/datasets/bigscience/xP3all>xP3all</a></t> <td>xP3 + evaluation datasets adding an additional 3 tasks for a total of 16 tasks in 46 languages with English prompts</td> <td></td> </tr> <tr> <td><a href=https://huggingface.co/datasets/bigscience/xP3megds>xP3megds</a></t> <td><a href=https://github.com/bigscience-workshop/Megatron-DeepSpeed>Megatron-DeepSpeed</a> processed version of xP3</td> <td><a href=https://huggingface.co/bigscience/bloomz>bloomz</a></td> </tr> <tr> <td><a href=https://huggingface.co/datasets/Muennighoff/P3>P3</a></t> <td>Repreprocessed version of the English-only <a href=https://huggingface.co/datasets/bigscience/P3>P3</a> with 8 training tasks</td> <td><a href=https://huggingface.co/bigscience/bloomz-p3>bloomz-p3</a> & <a href=https://huggingface.co/bigscience/mt0-xxl-p3>mt0-xxl-p3</a></td> </tr> </table> ## Dataset Structure ### Data Instances An example of "train" looks as follows: ```json { "inputs": "Sentence 1: Fue académico en literatura metafísica, teología y ciencias clásicas.\nSentence 2: Fue académico en literatura metafísica, teología y ciencia clásica.\nQuestion: Can we rewrite Sentence 1 to Sentence 2? Yes or No?", "targets": "Yes" } ``` ### Data Fields The data fields are the same among all splits: - `inputs`: the natural language input fed to the model - `targets`: the natural language target that the model has to generate ### Data Splits The below table summarizes sizes per language (computed from the `merged_{lang}.jsonl` files). Due to languages like `tw` only being single sentence translation samples from Flores, their byte percentage is significantly lower than their sample percentage. Adding a new language is very simple, you can take [this script adding Russian](https://huggingface.co/datasets/bs-la/xP3ru/blob/main/xp3_ru.py) as an example. \|Language\|Kilobytes\|%\|Samples\|%\| \|--------\|------:\|-:\|---:\|-:\| \|tw\|106288\|0.11\|265071\|0.34\| \|bm\|107056\|0.11\|265180\|0.34\| \|ak\|108096\|0.11\|265071\|0.34\| \|eu\|108112\|0.11\|269973\|0.34\| \|ca\|110608\|0.12\|271191\|0.34\| \|fon\|113072\|0.12\|265063\|0.34\| \|st\|114080\|0.12\|265063\|0.34\| \|ki\|115040\|0.12\|265180\|0.34\| \|tum\|116032\|0.12\|265063\|0.34\| \|wo\|122560\|0.13\|365063\|0.46\| \|ln\|126304\|0.13\|365060\|0.46\| \|as\|156256\|0.16\|265063\|0.34\| \|or\|161472\|0.17\|265063\|0.34\| \|kn\|165456\|0.17\|265063\|0.34\| \|ml\|175040\|0.18\|265864\|0.34\| \|rn\|192992\|0.2\|318189\|0.4\| \|nso\|229712\|0.24\|915051\|1.16\| \|tn\|235536\|0.25\|915054\|1.16\| \|lg\|235936\|0.25\|915021\|1.16\| \|rw\|249360\|0.26\|915043\|1.16\| \|ts\|250256\|0.26\|915044\|1.16\| \|sn\|252496\|0.27\|865056\|1.1\| \|xh\|254672\|0.27\|915058\|1.16\| \|zu\|263712\|0.28\|915061\|1.16\| \|ny\|272128\|0.29\|915063\|1.16\| \|ig\|325232\|0.34\|950097\|1.2\| \|yo\|352784\|0.37\|918416\|1.16\| \|ne\|393680\|0.41\|315754\|0.4\| \|pa\|523248\|0.55\|339210\|0.43\| \|gu\|560688\|0.59\|347499\|0.44\| \|sw\|560896\|0.59\|1114455\|1.41\| \|mr\|666240\|0.7\|417269\|0.53\| \|bn\|832720\|0.88\|428843\|0.54\| \|ta\|924496\|0.97\|410633\|0.52\| \|te\|1332912\|1.4\|573364\|0.73\| \|ur\|1918272\|2.02\|855756\|1.08\| \|vi\|3101408\|3.27\|1667306\|2.11\| \|code\|4330752\|4.56\|2707724\|3.43\| \|hi\|4393696\|4.63\|1543441\|1.96\| \|zh\|4589904\|4.83\|3560556\|4.51\| \|id\|4606288\|4.85\|2627392\|3.33\| \|ar\|4677264\|4.93\|2148955\|2.72\| \|fr\|5546688\|5.84\|5055942\|6.41\| \|pt\|6129584\|6.46\|3562772\|4.52\| \|es\|7571808\|7.98\|5151349\|6.53\| \|en\|37261104\|39.25\|31495184\|39.93\| \|total\|94941936\|100.0\|78883588\|100.0\| ## Dataset Creation ### Source Data #### Training datasets - Code Miscellaneous - [CodeComplex](https://huggingface.co/datasets/codeparrot/codecomplex) - [Docstring Corpus](https://huggingface.co/datasets/teven/code_docstring_corpus) - [GreatCode](https://huggingface.co/datasets/great_code) - [State Changes](https://huggingface.co/datasets/Fraser/python-state-changes) - Closed-book QA - [Hotpot QA](https://huggingface.co/datasets/hotpot_qa) - [Trivia QA](https://huggingface.co/datasets/trivia_qa) - [Web Questions](https://huggingface.co/datasets/web_questions) - [Wiki QA](https://huggingface.co/datasets/wiki_qa) - Extractive QA - [Adversarial QA](https://huggingface.co/datasets/adversarial_qa) - [CMRC2018](https://huggingface.co/datasets/cmrc2018) - [DRCD](https://huggingface.co/datasets/clue) - [DuoRC](https://huggingface.co/datasets/duorc) - [MLQA](https://huggingface.co/datasets/mlqa) - [Quoref](https://huggingface.co/datasets/quoref) - [ReCoRD](https://huggingface.co/datasets/super_glue) - [ROPES](https://huggingface.co/datasets/ropes) - [SQuAD v2](https://huggingface.co/datasets/squad_v2) - [xQuAD](https://huggingface.co/datasets/xquad) - TyDI QA - [Primary](https://huggingface.co/datasets/khalidalt/tydiqa-primary) - [Goldp](https://huggingface.co/datasets/khalidalt/tydiqa-goldp) - Multiple-Choice QA - [ARC](https://huggingface.co/datasets/ai2_arc) - [C3](https://huggingface.co/datasets/c3) - [CoS-E](https://huggingface.co/datasets/cos_e) - [Cosmos](https://huggingface.co/datasets/cosmos) - [DREAM](https://huggingface.co/datasets/dream) - [MultiRC](https://huggingface.co/datasets/super_glue) - [OpenBookQA](https://huggingface.co/datasets/openbookqa) - [PiQA](https://huggingface.co/datasets/piqa) - [QUAIL](https://huggingface.co/datasets/quail) - [QuaRel](https://huggingface.co/datasets/quarel) - [QuaRTz](https://huggingface.co/datasets/quartz) - [QASC](https://huggingface.co/datasets/qasc) - [RACE](https://huggingface.co/datasets/race) - [SciQ](https://huggingface.co/datasets/sciq) - [Social IQA](https://huggingface.co/datasets/social_i_qa) - [Wiki Hop](https://huggingface.co/datasets/wiki_hop) - [WiQA](https://huggingface.co/datasets/wiqa) - Paraphrase Identification - [MRPC](https://huggingface.co/datasets/super_glue) - [PAWS](https://huggingface.co/datasets/paws) - [PAWS-X](https://huggingface.co/datasets/paws-x) - [QQP](https://huggingface.co/datasets/qqp) - Program Synthesis - [APPS](https://huggingface.co/datasets/codeparrot/apps) - [CodeContests](https://huggingface.co/datasets/teven/code_contests) - [JupyterCodePairs](https://huggingface.co/datasets/codeparrot/github-jupyter-text-code-pairs) - [MBPP](https://huggingface.co/datasets/Muennighoff/mbpp) - [NeuralCodeSearch](https://huggingface.co/datasets/neural_code_search) - [XLCoST](https://huggingface.co/datasets/codeparrot/xlcost-text-to-code) - Structure-to-text - [Common Gen](https://huggingface.co/datasets/common_gen) - [Wiki Bio](https://huggingface.co/datasets/wiki_bio) - Sentiment - [Amazon](https://huggingface.co/datasets/amazon_polarity) - [App Reviews](https://huggingface.co/datasets/app_reviews) - [IMDB](https://huggingface.co/datasets/imdb) - [Rotten Tomatoes](https://huggingface.co/datasets/rotten_tomatoes) - [Yelp](https://huggingface.co/datasets/yelp_review_full) - Simplification - [BiSECT](https://huggingface.co/datasets/GEM/BiSECT) - Summarization - [CNN Daily Mail](https://huggingface.co/datasets/cnn_dailymail) - [Gigaword](https://huggingface.co/datasets/gigaword) - [MultiNews](https://huggingface.co/datasets/multi_news) - [SamSum](https://huggingface.co/datasets/samsum) - [Wiki-Lingua](https://huggingface.co/datasets/GEM/wiki_lingua) - [XLSum](https://huggingface.co/datasets/GEM/xlsum) - [XSum](https://huggingface.co/datasets/xsum) - Topic Classification - [AG News](https://huggingface.co/datasets/ag_news) - [DBPedia](https://huggingface.co/datasets/dbpedia_14) - [TNEWS](https://huggingface.co/datasets/clue) - [TREC](https://huggingface.co/datasets/trec) - [CSL](https://huggingface.co/datasets/clue) - Translation - [Flores-200](https://huggingface.co/datasets/Muennighoff/flores200) - [Tatoeba](https://huggingface.co/datasets/Helsinki-NLP/tatoeba_mt) - Word Sense disambiguation - [WiC](https://huggingface.co/datasets/super_glue) - [XL-WiC](https://huggingface.co/datasets/pasinit/xlwic) #### Evaluation datasets (included in [xP3all](https://huggingface.co/datasets/bigscience/xP3all) except for NLI datasets & HumanEval) - Natural Language Inference (NLI) - [ANLI](https://huggingface.co/datasets/anli) - [CB](https://huggingface.co/datasets/super_glue) - [RTE](https://huggingface.co/datasets/super_glue) - [XNLI](https://huggingface.co/datasets/xnli) - Coreference Resolution - [Winogrande](https://huggingface.co/datasets/winogrande) - [XWinograd](https://huggingface.co/datasets/Muennighoff/xwinograd) - Program Synthesis - [HumanEval](https://huggingface.co/datasets/openai_humaneval) - Sentence Completion - [COPA](https://huggingface.co/datasets/super_glue) - [Story Cloze](https://huggingface.co/datasets/story_cloze) - [XCOPA](https://huggingface.co/datasets/xcopa) - [XStoryCloze](https://huggingface.co/datasets/Muennighoff/xstory_cloze) ## Additional Information ### Licensing Information The dataset is released under Apache 2.0. ### Citation Information ```bibtex @article{muennighoff2022crosslingual, title={Crosslingual generalization through multitask finetuning}, author={Muennighoff, Niklas and Wang, Thomas and Sutawika, Lintang and Roberts, Adam and Biderman, Stella and Scao, Teven Le and Bari, M Saiful and Shen, Sheng and Yong, Zheng-Xin and Schoelkopf, Hailey and others}, journal={arXiv preprint arXiv:2211.01786}, year={2022} } ``` ### Contributions Thanks to the contributors of [promptsource](https://github.com/bigscience-workshop/promptsource/graphs/contributors) for adding many prompts used in this dataset.	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open-llm-leaderboard/details_jphme__orca_mini_v2_ger_7b	open-llm-leaderboard	2023-09-17T20:22:35Z	326	0	[ "region:us" ]	null	2023-08-17T23:51:22Z	--- pretty_name: Evaluation run of jphme/orca_mini_v2_ger_7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [jphme/orca_mini_v2_ger_7b](https://huggingface.co/jphme/orca_mini_v2_ger_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_jphme__orca_mini_v2_ger_7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-17T20:22:22.461526](https://huggingface.co/datasets/open-llm-leaderboard/details_jphme__orca_mini_v2_ger_7b/blob/main/results_2023-09-17T20-22-22.461526.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\": 0.05180369127516778,\n\ \ \"em_stderr\": 0.002269703538491734,\n \"f1\": 0.10419043624161092,\n\ \ \"f1_stderr\": 0.0025209765448865502,\n \"acc\": 0.3787812512528625,\n\ \ \"acc_stderr\": 0.009090798922474245\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.05180369127516778,\n \"em_stderr\": 0.002269703538491734,\n\ \ \"f1\": 0.10419043624161092,\n \"f1_stderr\": 0.0025209765448865502\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.04169825625473844,\n \ \ \"acc_stderr\": 0.005506205058175767\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7158642462509865,\n \"acc_stderr\": 0.012675392786772722\n\ \ }\n}\n```" repo_url: https://huggingface.co/jphme/orca_mini_v2_ger_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_07_19T17_09_14.589500 path: - '/details_harness\|arc:challenge\|25_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-07-19T17:09:14.589500.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_17T20_22_22.461526 path: - '/details_harness\|drop\|3_2023-09-17T20-22-22.461526.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-17T20-22-22.461526.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_17T20_22_22.461526 path: - '/details_harness\|gsm8k\|5_2023-09-17T20-22-22.461526.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-17T20-22-22.461526.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hellaswag\|10_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T17:09:14.589500.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-management\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T17:09:14.589500.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_19T17_09_14.589500 path: - '/details_harness\|truthfulqa:mc\|0_2023-07-19T17:09:14.589500.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-07-19T17:09:14.589500.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_17T20_22_22.461526 path: - '/details_harness\|winogrande\|5_2023-09-17T20-22-22.461526.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-17T20-22-22.461526.parquet' - config_name: results data_files: - split: 2023_07_19T17_09_14.589500 path: - results_2023-07-19T17:09:14.589500.parquet - split: 2023_09_17T20_22_22.461526 path: - results_2023-09-17T20-22-22.461526.parquet - split: latest path: - results_2023-09-17T20-22-22.461526.parquet --- # Dataset Card for Evaluation run of jphme/orca_mini_v2_ger_7b ## Dataset Description - Homepage: - Repository: https://huggingface.co/jphme/orca_mini_v2_ger_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 [jphme/orca_mini_v2_ger_7b](https://huggingface.co/jphme/orca_mini_v2_ger_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_jphme__orca_mini_v2_ger_7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-17T20:22:22.461526](https://huggingface.co/datasets/open-llm-leaderboard/details_jphme__orca_mini_v2_ger_7b/blob/main/results_2023-09-17T20-22-22.461526.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": 0.05180369127516778, "em_stderr": 0.002269703538491734, "f1": 0.10419043624161092, "f1_stderr": 0.0025209765448865502, "acc": 0.3787812512528625, "acc_stderr": 0.009090798922474245 }, "harness\|drop\|3": { "em": 0.05180369127516778, "em_stderr": 0.002269703538491734, "f1": 0.10419043624161092, "f1_stderr": 0.0025209765448865502 }, "harness\|gsm8k\|5": { "acc": 0.04169825625473844, "acc_stderr": 0.005506205058175767 }, "harness\|winogrande\|5": { "acc": 0.7158642462509865, "acc_stderr": 0.012675392786772722 } } ``` ### 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]	[ -0.45311829447746277, -0.726762056350708, 0.1532989740371704, 0.06092531234025955, -0.19693951308727264, 0.03439478576183319, -0.3387967348098755, -0.3099980354309082, 0.4299706220626831, 0.5426284074783325, -0.7024042010307312, -0.952965259552002, -0.6815884709358215, 0.10606180876493454, -0.037656959146261215, 1.1799259185791016, -0.2192709594964981, -0.16014507412910461, 0.13095231354236603, -0.4159403145313263, -0.3807055950164795, -0.3430911898612976, -0.7593326568603516, 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open-llm-leaderboard/details_bofenghuang__vigogne-13b-chat	open-llm-leaderboard	2023-09-22T17:13:14Z	326	0	[ "region:us" ]	null	2023-08-18T11:32:52Z	--- pretty_name: Evaluation run of bofenghuang/vigogne-13b-chat dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [bofenghuang/vigogne-13b-chat](https://huggingface.co/bofenghuang/vigogne-13b-chat)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_bofenghuang__vigogne-13b-chat\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-22T17:13:01.877874](https://huggingface.co/datasets/open-llm-leaderboard/details_bofenghuang__vigogne-13b-chat/blob/main/results_2023-09-22T17-13-01.877874.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\": 0.28093540268456374,\n\ \ \"em_stderr\": 0.004602850194300876,\n \"f1\": 0.3580620805369141,\n\ \ \"f1_stderr\": 0.0045122087324351344,\n \"acc\": 0.42528152381590656,\n\ \ \"acc_stderr\": 0.009746925675481622\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.28093540268456374,\n \"em_stderr\": 0.004602850194300876,\n\ \ \"f1\": 0.3580620805369141,\n \"f1_stderr\": 0.0045122087324351344\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.08339651250947688,\n \ \ \"acc_stderr\": 0.007615650277106699\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7671665351223362,\n \"acc_stderr\": 0.011878201073856544\n\ \ }\n}\n```" repo_url: https://huggingface.co/bofenghuang/vigogne-13b-chat 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_07_25T11_18_55.409320 path: - '/details_harness\|arc:challenge\|25_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-07-25T11:18:55.409320.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_22T17_13_01.877874 path: - '/details_harness\|drop\|3_2023-09-22T17-13-01.877874.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-22T17-13-01.877874.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_22T17_13_01.877874 path: - '/details_harness\|gsm8k\|5_2023-09-22T17-13-01.877874.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-22T17-13-01.877874.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hellaswag\|10_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-25T11:18:55.409320.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-management\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-25T11:18:55.409320.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_25T11_18_55.409320 path: - '/details_harness\|truthfulqa:mc\|0_2023-07-25T11:18:55.409320.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-07-25T11:18:55.409320.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_22T17_13_01.877874 path: - '/details_harness\|winogrande\|5_2023-09-22T17-13-01.877874.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-22T17-13-01.877874.parquet' - config_name: results data_files: - split: 2023_07_25T11_18_55.409320 path: - results_2023-07-25T11:18:55.409320.parquet - split: 2023_09_22T17_13_01.877874 path: - results_2023-09-22T17-13-01.877874.parquet - split: latest path: - results_2023-09-22T17-13-01.877874.parquet --- # Dataset Card for Evaluation run of bofenghuang/vigogne-13b-chat ## Dataset Description - Homepage: - Repository: https://huggingface.co/bofenghuang/vigogne-13b-chat - 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 [bofenghuang/vigogne-13b-chat](https://huggingface.co/bofenghuang/vigogne-13b-chat) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_bofenghuang__vigogne-13b-chat", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-22T17:13:01.877874](https://huggingface.co/datasets/open-llm-leaderboard/details_bofenghuang__vigogne-13b-chat/blob/main/results_2023-09-22T17-13-01.877874.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": 0.28093540268456374, "em_stderr": 0.004602850194300876, "f1": 0.3580620805369141, "f1_stderr": 0.0045122087324351344, "acc": 0.42528152381590656, "acc_stderr": 0.009746925675481622 }, "harness\|drop\|3": { "em": 0.28093540268456374, "em_stderr": 0.004602850194300876, "f1": 0.3580620805369141, "f1_stderr": 0.0045122087324351344 }, "harness\|gsm8k\|5": { "acc": 0.08339651250947688, "acc_stderr": 0.007615650277106699 }, "harness\|winogrande\|5": { "acc": 0.7671665351223362, "acc_stderr": 0.011878201073856544 } } ``` ### 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]	[ -0.39862146973609924, -0.8000625371932983, 0.16837097704410553, 0.33472442626953125, -0.1703808605670929, 0.09938239306211472, -0.4822983741760254, -0.1939990073442459, 0.37654367089271545, 0.5238351225852966, -0.7232542037963867, -0.9708935022354126, -0.6409731507301331, 0.12244863063097, -0.17916978895664215, 1.0874660015106201, -0.09212324023246765, -0.20324626564979553, -0.015467275865375996, -0.23817670345306396, -0.4051007032394409, -0.4410840570926666, -0.5973719954490662, 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open-llm-leaderboard/details_conceptofmind__LLongMA-2-7b-16k	open-llm-leaderboard	2023-08-27T12:45:13Z	326	0	[ "region:us" ]	null	2023-08-27T12:09:52Z	--- pretty_name: Evaluation run of conceptofmind/LLongMA-2-7b-16k dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [conceptofmind/LLongMA-2-7b-16k](https://huggingface.co/conceptofmind/LLongMA-2-7b-16k)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 60 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_conceptofmind__LLongMA-2-7b-16k\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-08-22T18:10:15.438623](https://huggingface.co/datasets/open-llm-leaderboard/details_conceptofmind__LLongMA-2-7b-16k/blob/main/results_2023-08-22T18%3A10%3A15.438623.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\": 0.38930534904833497,\n\ \ \"acc_stderr\": 0.03491718638238362,\n \"acc_norm\": 0.39334911896029395,\n\ \ \"acc_norm_stderr\": 0.03490530736130865,\n \"mc1\": 0.26805385556915545,\n\ \ \"mc1_stderr\": 0.015506204722834555,\n \"mc2\": 0.3905977414272289,\n\ \ \"mc2_stderr\": 0.01382437830936997\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.4803754266211604,\n \"acc_stderr\": 0.014600132075947085,\n\ \ \"acc_norm\": 0.5221843003412969,\n \"acc_norm_stderr\": 0.014597001927076143\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.5653256323441546,\n\ \ \"acc_stderr\": 0.004947010937455345,\n \"acc_norm\": 0.7620991834295957,\n\ \ \"acc_norm_stderr\": 0.004249278842903415\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.4222222222222222,\n\ \ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.4222222222222222,\n\ \ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.3355263157894737,\n \"acc_stderr\": 0.038424985593952694,\n\ \ \"acc_norm\": 0.3355263157894737,\n \"acc_norm_stderr\": 0.038424985593952694\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|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-clinical_knowledge\|5\"\ : {\n \"acc\": 0.37735849056603776,\n \"acc_stderr\": 0.029832808114796,\n\ \ \"acc_norm\": 0.37735849056603776,\n \"acc_norm_stderr\": 0.029832808114796\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.375,\n\ \ \"acc_stderr\": 0.04048439222695598,\n \"acc_norm\": 0.375,\n \ \ \"acc_norm_stderr\": 0.04048439222695598\n },\n \"harness\|hendrycksTest-college_chemistry\|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_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\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.32947976878612717,\n\ \ \"acc_stderr\": 0.03583901754736411,\n \"acc_norm\": 0.32947976878612717,\n\ \ \"acc_norm_stderr\": 0.03583901754736411\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.2549019607843137,\n \"acc_stderr\": 0.043364327079931785,\n\ \ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.043364327079931785\n\ \ },\n \"harness\|hendrycksTest-computer_security\|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-conceptual_physics\|5\"\ : {\n \"acc\": 0.3617021276595745,\n \"acc_stderr\": 0.0314108219759624,\n\ \ \"acc_norm\": 0.3617021276595745,\n \"acc_norm_stderr\": 0.0314108219759624\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.30701754385964913,\n\ \ \"acc_stderr\": 0.04339138322579861,\n \"acc_norm\": 0.30701754385964913,\n\ \ \"acc_norm_stderr\": 0.04339138322579861\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.3793103448275862,\n \"acc_stderr\": 0.040434618619167466,\n\ \ \"acc_norm\": 0.3793103448275862,\n \"acc_norm_stderr\": 0.040434618619167466\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.2777777777777778,\n \"acc_stderr\": 0.023068188848261114,\n \"\ acc_norm\": 0.2777777777777778,\n \"acc_norm_stderr\": 0.023068188848261114\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.18253968253968253,\n\ \ \"acc_stderr\": 0.0345507101910215,\n \"acc_norm\": 0.18253968253968253,\n\ \ \"acc_norm_stderr\": 0.0345507101910215\n },\n \"harness\|hendrycksTest-global_facts\|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_biology\|5\": {\n \"acc\": 0.36451612903225805,\n\ \ \"acc_stderr\": 0.02737987122994324,\n \"acc_norm\": 0.36451612903225805,\n\ \ \"acc_norm_stderr\": 0.02737987122994324\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.27586206896551724,\n \"acc_stderr\": 0.03144712581678242,\n\ \ \"acc_norm\": 0.27586206896551724,\n \"acc_norm_stderr\": 0.03144712581678242\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|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-high_school_european_history\|5\"\ : {\n \"acc\": 0.47878787878787876,\n \"acc_stderr\": 0.03900828913737302,\n\ \ \"acc_norm\": 0.47878787878787876,\n \"acc_norm_stderr\": 0.03900828913737302\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.3333333333333333,\n \"acc_stderr\": 0.03358618145732523,\n \"\ acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.03358618145732523\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.5544041450777202,\n \"acc_stderr\": 0.03587014986075659,\n\ \ \"acc_norm\": 0.5544041450777202,\n \"acc_norm_stderr\": 0.03587014986075659\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.31794871794871793,\n \"acc_stderr\": 0.023610884308927865,\n\ \ \"acc_norm\": 0.31794871794871793,\n \"acc_norm_stderr\": 0.023610884308927865\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.25555555555555554,\n \"acc_stderr\": 0.02659393910184407,\n \ \ \"acc_norm\": 0.25555555555555554,\n \"acc_norm_stderr\": 0.02659393910184407\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.3067226890756303,\n \"acc_stderr\": 0.029953823891887037,\n\ \ \"acc_norm\": 0.3067226890756303,\n \"acc_norm_stderr\": 0.029953823891887037\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.2582781456953642,\n \"acc_stderr\": 0.035737053147634576,\n \"\ acc_norm\": 0.2582781456953642,\n \"acc_norm_stderr\": 0.035737053147634576\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.43853211009174314,\n \"acc_stderr\": 0.021274713073954562,\n \"\ acc_norm\": 0.43853211009174314,\n \"acc_norm_stderr\": 0.021274713073954562\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.3194444444444444,\n \"acc_stderr\": 0.0317987634217685,\n \"acc_norm\"\ : 0.3194444444444444,\n \"acc_norm_stderr\": 0.0317987634217685\n },\n\ \ \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\": 0.4166666666666667,\n\ \ \"acc_stderr\": 0.03460228327239171,\n \"acc_norm\": 0.4166666666666667,\n\ \ \"acc_norm_stderr\": 0.03460228327239171\n },\n \"harness\|hendrycksTest-high_school_world_history\|5\"\ : {\n \"acc\": 0.48945147679324896,\n \"acc_stderr\": 0.032539983791662855,\n\ \ \"acc_norm\": 0.48945147679324896,\n \"acc_norm_stderr\": 0.032539983791662855\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.47533632286995514,\n\ \ \"acc_stderr\": 0.033516951676526276,\n \"acc_norm\": 0.47533632286995514,\n\ \ \"acc_norm_stderr\": 0.033516951676526276\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.4122137404580153,\n \"acc_stderr\": 0.04317171194870255,\n\ \ \"acc_norm\": 0.4122137404580153,\n \"acc_norm_stderr\": 0.04317171194870255\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.5785123966942148,\n \"acc_stderr\": 0.04507732278775087,\n \"\ acc_norm\": 0.5785123966942148,\n \"acc_norm_stderr\": 0.04507732278775087\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.3611111111111111,\n\ \ \"acc_stderr\": 0.04643454608906275,\n \"acc_norm\": 0.3611111111111111,\n\ \ \"acc_norm_stderr\": 0.04643454608906275\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.38650306748466257,\n \"acc_stderr\": 0.038258255488486076,\n\ \ \"acc_norm\": 0.38650306748466257,\n \"acc_norm_stderr\": 0.038258255488486076\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.32142857142857145,\n\ \ \"acc_stderr\": 0.04432804055291519,\n \"acc_norm\": 0.32142857142857145,\n\ \ \"acc_norm_stderr\": 0.04432804055291519\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.4174757281553398,\n \"acc_stderr\": 0.04882840548212238,\n\ \ \"acc_norm\": 0.4174757281553398,\n \"acc_norm_stderr\": 0.04882840548212238\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.5042735042735043,\n\ \ \"acc_stderr\": 0.032754892643821316,\n \"acc_norm\": 0.5042735042735043,\n\ \ \"acc_norm_stderr\": 0.032754892643821316\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.43,\n \"acc_stderr\": 0.04975698519562428,\n \ \ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.04975698519562428\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.5031928480204342,\n\ \ \"acc_stderr\": 0.017879598945933082,\n \"acc_norm\": 0.5031928480204342,\n\ \ \"acc_norm_stderr\": 0.017879598945933082\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.44508670520231214,\n \"acc_stderr\": 0.02675625512966377,\n\ \ \"acc_norm\": 0.44508670520231214,\n \"acc_norm_stderr\": 0.02675625512966377\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\": 0.434640522875817,\n \"acc_stderr\": 0.028384256704883037,\n\ \ \"acc_norm\": 0.434640522875817,\n \"acc_norm_stderr\": 0.028384256704883037\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.43086816720257237,\n\ \ \"acc_stderr\": 0.028125340983972714,\n \"acc_norm\": 0.43086816720257237,\n\ \ \"acc_norm_stderr\": 0.028125340983972714\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.42901234567901236,\n \"acc_stderr\": 0.027538925613470867,\n\ \ \"acc_norm\": 0.42901234567901236,\n \"acc_norm_stderr\": 0.027538925613470867\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.3333333333333333,\n \"acc_stderr\": 0.02812163604063989,\n \ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.02812163604063989\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.3070404172099087,\n\ \ \"acc_stderr\": 0.011780959114513764,\n \"acc_norm\": 0.3070404172099087,\n\ \ \"acc_norm_stderr\": 0.011780959114513764\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.40441176470588236,\n \"acc_stderr\": 0.02981263070156974,\n\ \ \"acc_norm\": 0.40441176470588236,\n \"acc_norm_stderr\": 0.02981263070156974\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.40522875816993464,\n \"acc_stderr\": 0.019861155193829173,\n \ \ \"acc_norm\": 0.40522875816993464,\n \"acc_norm_stderr\": 0.019861155193829173\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.4,\n\ \ \"acc_stderr\": 0.0469237132203465,\n \"acc_norm\": 0.4,\n \ \ \"acc_norm_stderr\": 0.0469237132203465\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.42857142857142855,\n \"acc_stderr\": 0.031680911612338825,\n\ \ \"acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.031680911612338825\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.48756218905472637,\n\ \ \"acc_stderr\": 0.0353443984853958,\n \"acc_norm\": 0.48756218905472637,\n\ \ \"acc_norm_stderr\": 0.0353443984853958\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.6,\n \"acc_stderr\": 0.049236596391733084,\n \ \ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.049236596391733084\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.3855421686746988,\n\ \ \"acc_stderr\": 0.037891344246115496,\n \"acc_norm\": 0.3855421686746988,\n\ \ \"acc_norm_stderr\": 0.037891344246115496\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.52046783625731,\n \"acc_stderr\": 0.038316105328219316,\n\ \ \"acc_norm\": 0.52046783625731,\n \"acc_norm_stderr\": 0.038316105328219316\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.26805385556915545,\n\ \ \"mc1_stderr\": 0.015506204722834555,\n \"mc2\": 0.3905977414272289,\n\ \ \"mc2_stderr\": 0.01382437830936997\n }\n}\n```" repo_url: https://huggingface.co/conceptofmind/LLongMA-2-7b-16k 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_22T18_10_15.438623 path: - '/details_harness\|arc:challenge\|25_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hellaswag\|10_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T18:10:15.438623.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T18:10:15.438623.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_22T18_10_15.438623 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-22T18:10:15.438623.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-22T18:10:15.438623.parquet' --- # Dataset Card for Evaluation run of conceptofmind/LLongMA-2-7b-16k ## Dataset Description - Homepage: - Repository: https://huggingface.co/conceptofmind/LLongMA-2-7b-16k - 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 [conceptofmind/LLongMA-2-7b-16k](https://huggingface.co/conceptofmind/LLongMA-2-7b-16k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 60 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_conceptofmind__LLongMA-2-7b-16k", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-08-22T18:10:15.438623](https://huggingface.co/datasets/open-llm-leaderboard/details_conceptofmind__LLongMA-2-7b-16k/blob/main/results_2023-08-22T18%3A10%3A15.438623.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": 0.38930534904833497, "acc_stderr": 0.03491718638238362, "acc_norm": 0.39334911896029395, "acc_norm_stderr": 0.03490530736130865, "mc1": 0.26805385556915545, "mc1_stderr": 0.015506204722834555, "mc2": 0.3905977414272289, "mc2_stderr": 0.01382437830936997 }, "harness\|arc:challenge\|25": { "acc": 0.4803754266211604, "acc_stderr": 0.014600132075947085, "acc_norm": 0.5221843003412969, "acc_norm_stderr": 0.014597001927076143 }, "harness\|hellaswag\|10": { "acc": 0.5653256323441546, "acc_stderr": 0.004947010937455345, "acc_norm": 0.7620991834295957, "acc_norm_stderr": 0.004249278842903415 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.4222222222222222, "acc_stderr": 0.04266763404099582, "acc_norm": 0.4222222222222222, "acc_norm_stderr": 0.04266763404099582 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.3355263157894737, "acc_stderr": 0.038424985593952694, "acc_norm": 0.3355263157894737, "acc_norm_stderr": 0.038424985593952694 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.37735849056603776, "acc_stderr": 0.029832808114796, "acc_norm": 0.37735849056603776, "acc_norm_stderr": 0.029832808114796 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.375, "acc_stderr": 0.04048439222695598, "acc_norm": 0.375, "acc_norm_stderr": 0.04048439222695598 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "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": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.32947976878612717, "acc_stderr": 0.03583901754736411, "acc_norm": 0.32947976878612717, "acc_norm_stderr": 0.03583901754736411 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.2549019607843137, "acc_stderr": 0.043364327079931785, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.043364327079931785 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.3617021276595745, "acc_stderr": 0.0314108219759624, "acc_norm": 0.3617021276595745, "acc_norm_stderr": 0.0314108219759624 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.30701754385964913, "acc_stderr": 0.04339138322579861, "acc_norm": 0.30701754385964913, "acc_norm_stderr": 0.04339138322579861 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.3793103448275862, "acc_stderr": 0.040434618619167466, "acc_norm": 0.3793103448275862, "acc_norm_stderr": 0.040434618619167466 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.2777777777777778, "acc_stderr": 0.023068188848261114, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.023068188848261114 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.18253968253968253, "acc_stderr": 0.0345507101910215, "acc_norm": 0.18253968253968253, "acc_norm_stderr": 0.0345507101910215 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.26, "acc_stderr": 0.04408440022768078, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768078 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.36451612903225805, "acc_stderr": 0.02737987122994324, "acc_norm": 0.36451612903225805, "acc_norm_stderr": 0.02737987122994324 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.27586206896551724, "acc_stderr": 0.03144712581678242, "acc_norm": 0.27586206896551724, "acc_norm_stderr": 0.03144712581678242 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.47878787878787876, "acc_stderr": 0.03900828913737302, "acc_norm": 0.47878787878787876, "acc_norm_stderr": 0.03900828913737302 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.03358618145732523, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.03358618145732523 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.5544041450777202, "acc_stderr": 0.03587014986075659, "acc_norm": 0.5544041450777202, "acc_norm_stderr": 0.03587014986075659 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.31794871794871793, "acc_stderr": 0.023610884308927865, "acc_norm": 0.31794871794871793, "acc_norm_stderr": 0.023610884308927865 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.25555555555555554, "acc_stderr": 0.02659393910184407, "acc_norm": 0.25555555555555554, "acc_norm_stderr": 0.02659393910184407 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.3067226890756303, "acc_stderr": 0.029953823891887037, "acc_norm": 0.3067226890756303, "acc_norm_stderr": 0.029953823891887037 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.2582781456953642, "acc_stderr": 0.035737053147634576, "acc_norm": 0.2582781456953642, "acc_norm_stderr": 0.035737053147634576 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.43853211009174314, "acc_stderr": 0.021274713073954562, "acc_norm": 0.43853211009174314, "acc_norm_stderr": 0.021274713073954562 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.3194444444444444, "acc_stderr": 0.0317987634217685, "acc_norm": 0.3194444444444444, "acc_norm_stderr": 0.0317987634217685 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.4166666666666667, "acc_stderr": 0.03460228327239171, "acc_norm": 0.4166666666666667, "acc_norm_stderr": 0.03460228327239171 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.48945147679324896, "acc_stderr": 0.032539983791662855, "acc_norm": 0.48945147679324896, "acc_norm_stderr": 0.032539983791662855 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.47533632286995514, "acc_stderr": 0.033516951676526276, "acc_norm": 0.47533632286995514, "acc_norm_stderr": 0.033516951676526276 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.4122137404580153, "acc_stderr": 0.04317171194870255, "acc_norm": 0.4122137404580153, "acc_norm_stderr": 0.04317171194870255 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.5785123966942148, "acc_stderr": 0.04507732278775087, "acc_norm": 0.5785123966942148, "acc_norm_stderr": 0.04507732278775087 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.3611111111111111, "acc_stderr": 0.04643454608906275, "acc_norm": 0.3611111111111111, "acc_norm_stderr": 0.04643454608906275 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.38650306748466257, "acc_stderr": 0.038258255488486076, "acc_norm": 0.38650306748466257, "acc_norm_stderr": 0.038258255488486076 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.32142857142857145, "acc_stderr": 0.04432804055291519, "acc_norm": 0.32142857142857145, "acc_norm_stderr": 0.04432804055291519 }, "harness\|hendrycksTest-management\|5": { "acc": 0.4174757281553398, "acc_stderr": 0.04882840548212238, "acc_norm": 0.4174757281553398, "acc_norm_stderr": 0.04882840548212238 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.5042735042735043, "acc_stderr": 0.032754892643821316, "acc_norm": 0.5042735042735043, "acc_norm_stderr": 0.032754892643821316 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.43, "acc_stderr": 0.04975698519562428, "acc_norm": 0.43, "acc_norm_stderr": 0.04975698519562428 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.5031928480204342, "acc_stderr": 0.017879598945933082, "acc_norm": 0.5031928480204342, "acc_norm_stderr": 0.017879598945933082 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.44508670520231214, "acc_stderr": 0.02675625512966377, "acc_norm": 0.44508670520231214, "acc_norm_stderr": 0.02675625512966377 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.24916201117318434, "acc_stderr": 0.014465893829859926, "acc_norm": 0.24916201117318434, "acc_norm_stderr": 0.014465893829859926 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.434640522875817, "acc_stderr": 0.028384256704883037, "acc_norm": 0.434640522875817, "acc_norm_stderr": 0.028384256704883037 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.43086816720257237, 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"acc_stderr": 0.038316105328219316, "acc_norm": 0.52046783625731, "acc_norm_stderr": 0.038316105328219316 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.26805385556915545, "mc1_stderr": 0.015506204722834555, "mc2": 0.3905977414272289, "mc2_stderr": 0.01382437830936997 } } ``` ### 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]	[ -0.7161049246788025, -0.8660324811935425, 0.3115844130516052, 0.1952294409275055, -0.17442265152931213, -0.05660037696361542, 0.0007611741893924773, -0.23064978420734406, 0.596774697303772, -0.06937512755393982, -0.5177478194236755, -0.698314905166626, -0.44469285011291504, 0.20456688106060028, -0.03609415516257286, 0.7757177948951721, -0.1741228699684143, -0.12696385383605957, 0.0434374138712883, 0.003134362865239382, -0.25755104422569275, -0.31178972125053406, -0.5098538994789124, 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curiosity_dialogs	null	2023-01-25T14:28:58Z	325	7	[ "task_categories:text-generation", "task_categories:fill-mask", "task_ids:dialogue-modeling", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "license:cc-by-nc-4.0", "conversational-curiosity", "region:us" ]	[ "text-generation", "fill-mask" ]	2022-03-02T23:29:22Z	--- annotations_creators: - crowdsourced language_creators: - crowdsourced language: - en license: - cc-by-nc-4.0 multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - text-generation - fill-mask task_ids: - dialogue-modeling paperswithcode_id: curiosity pretty_name: Curiosity Dataset tags: - conversational-curiosity dataset_info: features: - name: messages sequence: - name: message dtype: string - name: liked dtype: class_label: names: '0': 'False' '1': 'True' - name: sender dtype: class_label: names: '0': user '1': assistant - name: facts sequence: - name: fid dtype: int32 - name: used dtype: class_label: names: '0': 'False' '1': 'True' - name: source dtype: class_label: names: '0': section '1': known '2': random - name: message_id dtype: string - name: dialog_acts sequence: string - name: known_entities sequence: string - name: focus_entity dtype: string - name: dialog_id dtype: int32 - name: inferred_steps dtype: class_label: names: '0': 'False' '1': 'True' - name: created_time dtype: int64 - name: aspects sequence: string - name: first_aspect dtype: string - name: second_aspect dtype: string - name: shuffle_facts dtype: class_label: names: '0': 'False' '1': 'True' - name: related_entities sequence: string - name: tag dtype: string - name: user_id dtype: int32 - name: assistant_id dtype: int32 - name: is_annotated dtype: class_label: names: '0': 'False' '1': 'True' - name: user_dialog_rating dtype: int32 - name: user_other_agent_rating dtype: int32 - name: assistant_dialog_rating dtype: int32 - name: assistant_other_agent_rating dtype: int32 - name: reported dtype: class_label: names: '0': 'False' '1': 'True' - name: annotated dtype: class_label: names: '0': 'False' '1': 'True' config_name: curiosity_dialogs splits: - name: train num_bytes: 37198297 num_examples: 10287 - name: val num_bytes: 4914487 num_examples: 1287 - name: test num_bytes: 4915613 num_examples: 1287 - name: test_zero num_bytes: 4333191 num_examples: 1187 download_size: 92169165 dataset_size: 51361588 --- # Dataset Card for Curiosity Dataset ## 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: [Curiosity Dataset Homepage](https://www.pedro.ai/curiosity) - Repository: [Curiosity Dataset Repository](https://github.com/facebookresearch/curiosity) - Paper: [ACL Anthology](https://www.aclweb.org/anthology/2020.emnlp-main.655/) - Point of Contact: [Pedro Rodriguez](https://mailhide.io/e/wbfjM) ### Dataset Summary Curiosity dataset consists of 14K English dialogs (181K utterances) where users and assistants converse about geographic topics like geopolitical entities and locations. This dataset is annotated with pre-existing user knowledge, message-level dialog acts, grounding to Wikipedia, and user reactions to messages. ### Supported Tasks and Leaderboards * `text-generation-other-conversational-curiosity`: The dataset can be used to train a model for Conversational Curiosity, which consists in the testing of the hypothesis that engagement increases when users are presented with facts related to what they know. Success on this task is typically measured by achieving a high [Accuracy](https://huggingface.co/metrics/accuracy) and [F1 Score](https://huggingface.co/metrics/f1). ### Languages The text in the dataset is in English collected by crowd-souring. The associated BCP-47 code is `en`. ## Dataset Structure ### Data Instances A typical data point consists of dialogs between an user and an assistant, which is followed by the different attributes of the particular dialog. An example from the Curiosity Dataset train set looks as follows: ``` {'annotated': 1, 'aspects': ['Media', 'Politics and government'], 'assistant_dialog_rating': 5, 'assistant_id': 341, 'assistant_other_agent_rating': 5, 'created_time': 1571783665, 'dialog_id': 21922, 'first_aspect': 'Media', 'focus_entity': 'Namibia', 'inferred_steps': 1, 'is_annotated': 0, 'known_entities': ['South Africa', 'United Kingdom', 'Portugal'], 'messages': {'dialog_acts': [['request_topic'], ['inform_response'], ['request_aspect'], ['inform_response'], ['request_followup'], ['inform_response'], ['request_aspect', 'feedback_positive'], ['inform_response'], ['request_followup'], ['inform_response'], [], []], 'facts': [{'fid': [], 'source': [], 'used': []}, {'fid': [77870, 77676, 77816, 77814, 77775, 77659, 77877, 77785, 77867], 'source': [0, 1, 2, 2, 0, 2, 0, 1, 1], 'used': [0, 0, 0, 0, 0, 0, 0, 0, 0]}, {'fid': [], 'source': [], 'used': []}, {'fid': [77725, 77870, 77676, 77863, 77814, 77775, 77659, 77877, 77867], 'source': [2, 0, 1, 1, 2, 0, 2, 0, 1], 'used': [0, 0, 0, 0, 0, 0, 0, 0, 0]}, {'fid': [], 'source': [], 'used': []}, {'fid': [77694, 77661, 77863, 77780, 77671, 77704, 77869, 77693, 77877], 'source': [1, 2, 1, 0, 2, 2, 0, 1, 0], 'used': [0, 0, 0, 0, 0, 0, 0, 0, 1]}, {'fid': [], 'source': [], 'used': []}, {'fid': [77816, 77814, 77864, 77659, 77877, 77803, 77738, 77784, 77789], 'source': [2, 2, 0, 2, 0, 1, 1, 0, 1], 'used': [0, 0, 0, 0, 0, 0, 0, 0, 0]}, {'fid': [], 'source': [], 'used': []}, {'fid': [77694, 77776, 77780, 77696, 77707, 77693, 77778, 77702, 77743], 'source': [1, 0, 0, 2, 1, 1, 0, 2, 2], 'used': [0, 0, 0, 0, 0, 0, 0, 0, 0]}, {'fid': [], 'source': [], 'used': []}, {'fid': [77662, 77779, 77742, 77734, 77663, 77777, 77702, 77731, 77778], 'source': [1, 0, 2, 1, 2, 0, 2, 1, 0], 'used': [0, 0, 0, 0, 0, 0, 0, 0, 1]}], 'liked': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'message': ['Hi. I want information about Namibia.', 'Nmbia is a country in southern Africa.', 'Do you have information about the media there?', 'A mentional amount of foriegn', 'What about it?', "Media and journalists in Namibia are represented by the Namibia chapter of the Media Institute of 'southern Africa and the Editors Forum of Namibia.", 'Interesting! What can you tell me about the politics and government?', 'Namibia formed the Namibian Defence Force, comprising former enemies in a 23-year bush war.', 'Do you have more information about it?', "With a small army and a fragile economy , the Namibian government's principal foreign policy concern is developing strengthened ties within the Southern African region.", "That's all I wanted to know. Thank you!", 'My pleasure!'], 'message_id': ['617343895', '2842515356', '4240816985', '520711081', '1292358002', '3677078227', '1563061125', '1089028270', '1607063839', '113037558', '1197873991', '1399017322'], 'sender': [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1]}, 'related_entities': ['Western Roman Empire', 'United Kingdom', 'Portuguese language', 'Southern African Development Community', 'South Africa', 'Kalahari Desert', 'Namib Desert', 'League of Nations', 'Afrikaans', 'Sub-Saharan Africa', 'Portugal', 'South-West Africa', 'Warmbad, Namibia', 'German language', 'NBC'], 'reported': 0, 'second_aspect': 'Politics and government', 'shuffle_facts': 1, 'tag': 'round_2', 'user_dialog_rating': 5, 'user_id': 207, 'user_other_agent_rating': 5} ``` ### Data Fields * `messages`: List of dialogs between the user and the assistant and their associated attributes * `dialog_acts`: List of actions performed in the dialogs * `facts`: List of facts returned by the assistant * `fid`: Fact ID * `source`: Source for the fact * `used`: Whether facts were used before in the same dialog * `liked`: List of values indicating whether each dialog was liked * `message`: List of dialogs (messages) between the user and the assistant * `message_id`: Message ID * `sender`: Message author ID (numeric) * `known_entities`: Rooted facts about entities the user knows * `focus_entity` : Entity in focus in the dialogs * `dialog_id `: Dialog ID * `inferred_steps`: Number of inferred steps * `created_time`: Time of creation of the dialog * `aspects`: List of two aspects which the dialog is about * `first_aspect`: First aspect * `second_aspect`: Second aspect * `shuffle_facts`: Whether facts were shuffled * `related_entities` : List of fifteen related entities to the focus entity * `tag`: Conversation tag * `user_id`: User ID * `assistant_id`: Assistant ID * `is_annotated`: 0 or 1 (More Information Needed) * `user_dialog_rating`: 1 - 5 (More Information Needed) * `user_other_agent_rating`: 1 - 5 (More Information Needed) * `assistant_dialog_rating`: 1 - 5 (More Information Needed) * `assistant_other_agent_rating`: 1 - 5 (More Information Needed) * `reported`: Whether the dialog was reported inappropriate * `annotated`: 0 or 1 (More Information Needed) ### Data Splits The data is split into a training, validation, test and test_zero set as per the original dataset split. \| \| train \| validation \| test \| test_zero \| \|-----------------------\|------:\|-----------:\|-----:\|----------:\| \| Input dialog examples \| 10287 \| 1287 \| 1287 \| 1187 \| ## 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 [Attribution-NonCommercial 4.0 International](https://creativecommons.org/licenses/by-nc/4.0/legalcode) ### Citation Information ``` @inproceedings{rodriguez2020curiosity, title = {Information Seeking in the Spirit of Learning: a Dataset for Conversational Curiosity}, author = {Pedro Rodriguez and Paul Crook and Seungwhan Moon and Zhiguang Wang}, year = 2020, booktitle = {Empirical Methods in Natural Language Processing} } ``` ### Contributions Thanks to [@vineeths96](https://github.com/vineeths96) for adding this dataset.	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kor_sarcasm	null	2023-03-21T14:49:40Z	325	2	[ "task_categories:text-classification", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:ko", "license:mit", "sarcasm-detection", "region:us" ]	[ "text-classification" ]	2022-03-02T23:29:22Z	--- annotations_creators: - expert-generated language_creators: - found language: - ko license: - mit multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - text-classification task_ids: [] pretty_name: Korean Sarcasm Detection tags: - sarcasm-detection dataset_info: features: - name: tokens dtype: string - name: label dtype: class_label: names: '0': no_sarcasm '1': sarcasm splits: - name: train num_bytes: 1012030 num_examples: 9000 - name: test num_bytes: 32480 num_examples: 301 download_size: 1008955 dataset_size: 1044510 --- # Dataset Card for Korean Sarcasm Detection ## 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: [Korean Sarcasm Detection](https://github.com/SpellOnYou/korean-sarcasm) - Repository: [Korean Sarcasm Detection](https://github.com/SpellOnYou/korean-sarcasm) - Point of Contact: [Dionne Kim]([email protected]) ### Dataset Summary The Korean Sarcasm Dataset was created to detect sarcasm in text, which can significantly alter the original meaning of a sentence. 9319 tweets were collected from Twitter and labeled for `sarcasm` or `not_sarcasm`. These tweets were gathered by querying for: `역설, 아무말, 운수좋은날, 笑, 뭐래 아닙니다, 그럴리없다, 어그로, irony sarcastic, and sarcasm`. The dataset was pre-processed by removing the keyword hashtag, urls and mentions of the user to maintain anonymity. ### Supported Tasks and Leaderboards * `sarcasm_detection`: The dataset can be used to train a model to detect sarcastic tweets. A [BERT](https://huggingface.co/bert-base-uncased) model can be presented with a tweet in Korean and be asked to determine whether it is sarcastic or not. ### Languages The text in the dataset is in Korean and the associated is BCP-47 code is `ko-KR`. ## Dataset Structure ### Data Instances An example data instance contains a Korean tweet and a label whether it is sarcastic or not. `1` maps to sarcasm and `0` maps to no sarcasm. ``` { "tokens": "[ 수도권 노선 아이템 ] 17 . 신분당선의 #딸기 : 그의 이미지 컬러 혹은 머리 색에서 유래한 아이템이다 . #메트로라이프" "label": 0 } ``` ### Data Fields * `tokens`: contains the text of the tweet * `label`: determines whether the text is sarcastic (`1`: sarcasm, `0`: no sarcasm) ### Data Splits The data is split into a training set comrpised of 9018 tweets and a test set of 301 tweets. ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization The dataset was created by gathering HTML data from Twitter. Queries for hashtags that include sarcasm and variants of it were used to return tweets. It was preprocessed by removing the keyword hashtag, urls and mentions of the user to preserve anonymity. #### Who are the source language producers? The source language producers are Korean Twitter users. ### Annotations #### Annotation process Tweets were labeled `1` for sarcasm and `0` for no sarcasm. #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information Mentions of the user in a tweet were removed to keep them anonymous. ## 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 This dataset was curated by Dionne Kim. ### Licensing Information This dataset is licensed under the MIT License. ### Citation Information ``` @misc{kim2019kocasm, author = {Kim, Jiwon and Cho, Won Ik}, title = {Kocasm: Korean Automatic Sarcasm Detection}, year = {2019}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/SpellOnYou/korean-sarcasm}} } ``` ### Contributions Thanks to [@stevhliu](https://github.com/stevhliu) for adding this dataset.	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metooma	null	2023-01-25T14:40:24Z	325	0	[ "task_categories:text-classification", "task_categories:text-retrieval", "task_ids:multi-class-classification", "task_ids:multi-label-classification", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:en", "license:cc0-1.0", "region:us" ]	[ "text-classification", "text-retrieval" ]	2022-03-02T23:29:22Z	--- annotations_creators: - expert-generated language_creators: - found language: - en license: - cc0-1.0 multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - text-classification - text-retrieval task_ids: - multi-class-classification - multi-label-classification paperswithcode_id: metooma pretty_name: '#MeTooMA dataset' dataset_info: features: - name: TweetId dtype: string - name: Text_Only_Informative dtype: class_label: names: '0': Text Non Informative '1': Text Informative - name: Image_Only_Informative dtype: class_label: names: '0': Image Non Informative '1': Image Informative - name: Directed_Hate dtype: class_label: names: '0': Directed Hate Absent '1': Directed Hate Present - name: Generalized_Hate dtype: class_label: names: '0': Generalized Hate Absent '1': Generalized Hate Present - name: Sarcasm dtype: class_label: names: '0': Sarcasm Absent '1': Sarcasm Present - name: Allegation dtype: class_label: names: '0': Allegation Absent '1': Allegation Present - name: Justification dtype: class_label: names: '0': Justification Absent '1': Justification Present - name: Refutation dtype: class_label: names: '0': Refutation Absent '1': Refutation Present - name: Support dtype: class_label: names: '0': Support Absent '1': Support Present - name: Oppose dtype: class_label: names: '0': Oppose Absent '1': Oppose Present splits: - name: train num_bytes: 821738 num_examples: 7978 - name: test num_bytes: 205489 num_examples: 1995 download_size: 408889 dataset_size: 1027227 --- # Dataset Card for #MeTooMA dataset ## 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://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/JN4EYU - Repository: https://github.com/midas-research/MeTooMA - Paper: https://ojs.aaai.org//index.php/ICWSM/article/view/7292 - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Dataset Summary - The dataset consists of tweets belonging to #MeToo movement on Twitter, labelled into different categories. - This dataset includes more data points and has more labels than any of the previous datasets that contain social media posts about sexual abuse discloures. Please refer to the Related Datasets of the publication for a detailed information about this. - Due to Twitters development policies, the authors provide only the tweet IDs and corresponding labels, other data can be fetched via Twitter API. - The data has been labelled by experts, with the majority taken into the account for deciding the final label. - The authors provide these labels for each of the tweets. - Relevance - Directed Hate - Generalized Hate - Sarcasm - Allegation - Justification - Refutation - Support - Oppose - The definitions for each task/label is in the main publication. - Please refer to the accompanying paper https://aaai.org/ojs/index.php/ICWSM/article/view/7292 for statistical analysis on the textual data extracted from this dataset. - The language of all the tweets in this dataset is English - Time period: October 2018 - December 2018 - Suggested Use Cases of this dataset: - Evaluating usage of linguistic acts such as: hate-spech and sarcasm in the incontext of public sexual abuse discloures. - Extracting actionable insights and virtual dynamics of gender roles in sexual abuse revelations. - Identifying how influential people were potrayed on public platform in the events of mass social movements. - Polarization analysis based on graph simulations of social nodes of users involved in the #MeToo movement. ### Supported Tasks and Leaderboards Multi Label and Multi-Class Classification ### Languages English ## Dataset Structure - The dataset is structured into CSV format with TweetID and accompanying labels. - Train and Test sets are split into respective files. ### Data Instances Tweet ID and the appropriate labels ### Data Fields Tweet ID and appropriate labels (binary label applicable for a data point) and multiple labels for each Tweet ID ### Data Splits - Train: 7979 - Test: 1996 ## Dataset Creation ### Curation Rationale - Twitter was the major source of all the public discloures of sexual abuse incidents during the #MeToo movement. - People expressed their opinions over issues which were previously missing from the social media space. - This provides an option to study the linguistic behaviours of social media users in an informal setting, therefore the authors decide to curate this annotated dataset. - The authors expect this dataset would be of great interest and use to both computational and socio-linguists. - For computational linguists, it provides an opportunity to model three new complex dialogue acts (allegation, refutation, and justification) and also to study how these acts interact with some of the other linguistic components like stance, hate, and sarcasm. For socio-linguists, it provides an opportunity to explore how a movement manifests in social media. ### Source Data - Source of all the data points in this dataset is Twitter social media platform. #### Initial Data Collection and Normalization - All the tweets are mined from Twitter with initial search paramters identified using keywords from the #MeToo movement. - Redundant keywords were removed based on manual inspection. - Public streaming APIs of Twitter were used for querying with the selected keywords. - Based on text de-duplication and cosine similarity score, the set of tweets were pruned. - Non english tweets were removed. - The final set was labelled by experts with the majority label taken into the account for deciding the final label. - Please refer to this paper for detailed information: https://ojs.aaai.org//index.php/ICWSM/article/view/7292 #### Who are the source language producers? Please refer to this paper for detailed information: https://ojs.aaai.org//index.php/ICWSM/article/view/7292 ### Annotations #### Annotation process - The authors chose against crowd sourcing for labeling this dataset due to its highly sensitive nature. - The annotators are domain experts having degress in advanced clinical psychology and gender studies. - They were provided a guidelines document with instructions about each task and its definitions, labels and examples. - They studied the document, worked a few examples to get used to this annotation task. - They also provided feedback for improving the class definitions. - The annotation process is not mutually exclusive, implying that presence of one label does not mean the absence of the other one. #### Who are the annotators? - The annotators are domain experts having a degree in clinical psychology and gender studies. - Please refer to the accompnaying paper for a detailed annotation process. ### Personal and Sensitive Information - Considering Twitters policy for distribution of data, only Tweet ID and applicable labels are shared for the public use. - It is highly encouraged to use this dataset for scientific purposes only. - This dataset collection completely follows the Twitter mandated guidelines for distribution and usage. ## Considerations for Using the Data ### Social Impact of Dataset - The authors of this dataset do not intend to conduct a population centric analysis of #MeToo movement on Twitter. - The authors acknowledge that findings from this dataset cannot be used as-is for any direct social intervention, these should be used to assist already existing human intervention tools and therapies. - Enough care has been taken to ensure that this work comes of as trying to target a specific person for their personal stance of issues pertaining to the #MeToo movement. - The authors of this work do not aim to vilify anyone accused in the #MeToo movement in any manner. - Please refer to the ethics and discussion section of the mentioned publication for appropriate sharing of this dataset and social impact of this work. ### Discussion of Biases - The #MeToo movement acted as a catalyst for implementing social policy changes to benefit the members of community affected by sexual abuse. - Any work undertaken on this dataset should aim to minimize the bias against minority groups which might amplified in cases of sudden outburst of public reactions over sensitive social media discussions. ### Other Known Limitations - Considering privacy concerns, social media practitioners should be aware of making automated interventions to aid the victims of sexual abuse as some people might not prefer to disclose their notions. - Concerned social media users might also repeal their social information, if they found out that their information is being used for computational purposes, hence it is important seek subtle individual consent before trying to profile authors involved in online discussions to uphold personal privacy. ## Additional Information Please refer to this link: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/JN4EYU ### Dataset Curators - If you use the corpus in a product or application, then please credit the authors and [Multimodal Digital Media Analysis Lab - Indraprastha Institute of Information Technology, New Delhi] (http://midas.iiitd.edu.in) appropriately. Also, if you send us an email, we will be thrilled to know about how you have used the corpus. - If interested in commercial use of the corpus, send email to [email protected]. - Multimodal Digital Media Analysis Lab - Indraprastha Institute of Information Technology, New Delhi, India disclaims any responsibility for the use of the corpus and does not provide technical support. However, the contact listed above will be happy to respond to queries and clarifications - Please feel free to send us an email: - with feedback regarding the corpus. - with information on how you have used the corpus. - if interested in having us analyze your social media data. - if interested in a collaborative research project. ### Licensing Information [More Information Needed] ### Citation Information Please cite the following publication if you make use of the dataset: https://ojs.aaai.org/index.php/ICWSM/article/view/7292 ``` @article{Gautam_Mathur_Gosangi_Mahata_Sawhney_Shah_2020, title={#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement}, volume={14}, url={https://aaai.org/ojs/index.php/ICWSM/article/view/7292}, abstractNote={<p>In this paper, we present a dataset containing 9,973 tweets related to the MeToo movement that were manually annotated for five different linguistic aspects: relevance, stance, hate speech, sarcasm, and dialogue acts. We present a detailed account of the data collection and annotation processes. The annotations have a very high inter-annotator agreement (0.79 to 0.93 k-alpha) due to the domain expertise of the annotators and clear annotation instructions. We analyze the data in terms of geographical distribution, label correlations, and keywords. Lastly, we present some potential use cases of this dataset. We expect this dataset would be of great interest to psycholinguists, socio-linguists, and computational linguists to study the discursive space of digitally mobilized social movements on sensitive issues like sexual harassment.</p&gt;}, number={1}, journal={Proceedings of the International AAAI Conference on Web and Social Media}, author={Gautam, Akash and Mathur, Puneet and Gosangi, Rakesh and Mahata, Debanjan and Sawhney, Ramit and Shah, Rajiv Ratn}, year={2020}, month={May}, pages={209-216} } ``` ### Contributions Thanks to [@akash418](https://github.com/akash418) for adding this dataset.	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wdc/products-2017	wdc	2022-10-23T05:50:24Z	325	2	[ "task_categories:text-classification", "annotations_creators:weak supervision", "annotations_creators:expert-generated", "multilinguality:monolingual", "size_categories:1K<n<10K", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "license:unknown", "region:us" ]	[ "text-classification", "data-integration" ]	2022-05-16T13:23:21Z	--- annotations_creators: - weak supervision - expert-generated language: - en language_bcp47: - en-US license: - unknown multilinguality: - monolingual pretty_name: products-2017 size_categories: - 1K<n<10K - 10K<n<100K source_datasets: - original task_categories: - text-classification - data-integration task_ids: - entity-matching - identity-resolution - product-matching paperswithcode_id: wdc-products --- # Dataset Card for [products-2017] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Annotations](#annotations) - [Additional Information](#additional-information) - [Citation Information](#citation-information) ## Dataset Description - Homepage: [LSPCv2 Homepage](http://webdatacommons.org/largescaleproductcorpus/v2/index.html) - Point of Contact: [Ralph Peeters](mailto:[email protected]) ### Dataset Summary Many e-shops have started to mark-up product data within their HTML pages using the schema.org vocabulary. The Web Data Commons project regularly extracts such data from the Common Crawl, a large public web crawl. The Web Data Commons Training and Test Sets for Large-Scale Product Matching contain product offers from different e-shops in the form of binary product pairs (with corresponding label "match" or "no match") In order to support the evaluation of machine learning-based matching methods, the data is split into training, validation and test set. We provide training and validation sets in four different sizes for four product categories. The labels of the test sets were manually checked while those of the training sets were derived using shared product identifiers from the Web via weak supervision. The data stems from the WDC Product Data Corpus for Large-Scale Product Matching - Version 2.0 which consists of 26 million product offers originating from 79 thousand websites. ### Supported Tasks and Leaderboards Entity Matching, Product Matching ### Languages English ## Dataset Structure ### Data Instances The data is structured as pairs of product offers with the corresponding match/non-match label. This is an example instance from the computers category: ``` {"pair_id":"581109#16637861","label":0,"id_left":581109,"category_left":"Computers_and_Accessories","cluster_id_left":1324529,"brand_left":"\"Gigabyte\"@en","title_left":" \"Gigabyte Radeon RX 480 G1 Gaming 4096MB GDDR5 PCI-Express Graphics Card\"@en \"Gigabyte Gr\| OcUK\"@en","description_left":"\"GV-RX480G1 GAMING-4GD, Core Clock: 1202MHz, Boost Clock: 1290MHz, Memory: 4096MB 7000MHz GDDR5, Stream Processors: 2304, Crossfire Ready, VR Ready, FreeSync Ready, 3 Years Warranty\"@en ","price_left":null,"specTableContent_left":null,"id_right":16637861,"category_right":"Computers_and_Accessories","cluster_id_right":107415,"brand_right":"\"Gigabyte\"@en","title_right":" \"Gigabyte Radeon RX 550 Gaming OC 2048MB GDDR5 PCI-Express Graphics Card\"@en \"Gigabyte Gr\| OcUK\"@en","description_right":"\"GV-RX550GAMING OC-2GD, Boost: 1219MHz, Memory: 2048MB 7000MHz GDDR5, Stream Processors: 512, DirectX 12 Support, 3 Years Warranty\"@en ","price_right":null,"specTableContent_right":null} ``` ### Data Fields - pair_id: unique identifier of a pair (string) - label: binary label, match or non-match (int) The following attributes are contained twice, once for the first and once for the second product offer - id: unique id of the product offer (int) - category: product category (string) - cluster_id: id of the product cluster from the original corpus this offer belongs to (int) - brand: brand of the product (string) - title: product title (string) - description: longer product description (string) - price: price of the product offer (string) - specTableContent: additional data found in specification tables on the webpage that contains the product offer (string) ### Data Splits - Computers - Test set - 1100 pairs - Small Train set - 2267 pairs - Small Validation set - 567 pairs - Medium Train set - 6475 pairs - Medium Validation set - 1619 pairs - Large Train set - 26687 pairs - Large Validation set - 6672 pairs - XLarge Train set - 54768 pairs - Xlarge Validation set - 13693 pairs - Cameras - Test set - 1100 pairs - Small Train set - 1508 pairs - Small Validation set - 378 pairs - Medium Train set - 4204 pairs - Medium Validation set - 1051 pairs - Large Train set - 16028 pairs - Large Validation set - 4008 pairs - XLarge Train set - 33821 pairs - Xlarge Validation set - 8456 pairs - Watches - Test set - 1100 pairs - Small Train set - 1804 pairs - Small Validation set - 451 pairs - Medium Train set - 5130 pairs - Medium Validation set - 1283 pairs - Large Train set - 21621 pairs - Large Validation set - 5406 pairs - XLarge Train set - 49255 pairs - Xlarge Validation set - 12314 pairs - Shoes - Test set - 1100 pairs - Small Train set - 1650 pairs - Small Validation set - 413 pairs - Medium Train set - 4644 pairs - Medium Validation set - 1161 pairs - Large Train set - 18391 pairs - Large Validation set - 4598 pairs - XLarge Train set - 33943 pairs - Xlarge Validation set - 8486 pairs ## Dataset Creation ### Annotations #### Annotation process - Training and Validation sets: distant supervision via shared schema.org product IDs - Test sets: Single expert annotator #### Who are the annotators? [Ralph Peeters](https://www.uni-mannheim.de/dws/people/researchers/phd-students/ralph-peeters/) ## Additional Information ### Citation Information ``` @inproceedings{primpeli2019wdc, title={The WDC training dataset and gold standard for large-scale product matching}, author={Primpeli, Anna and Peeters, Ralph and Bizer, Christian}, booktitle={Companion Proceedings of The 2019 World Wide Web Conference}, pages={381--386}, year={2019} } ```	[ -0.6517143249511719, -0.6687859892845154, 0.15478502213954926, 0.20395410060882568, -0.16184310615062714, -0.05836557596921921, -0.25844553112983704, -0.6278194189071655, 0.18917980790138245, 0.2170415073633194, -0.7842764854431152, -0.9653624892234802, -0.3325236737728119, 0.06690582633018494, -0.05038582161068916, 1.0018768310546875, -0.09468492120504379, -0.35978463292121887, -0.43108054995536804, -0.2961021363735199, -0.25810006260871887, -0.5776118636131287, -0.4334106743335724, -0.0056153275072574615, 0.44542813301086426, 0.3809950649738312, 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recastai/LAION-art-EN-improved-captions	recastai	2023-06-24T04:19:50Z	325	12	[ "language:en", "license:cc-by-4.0", "region:us" ]	null	2023-04-26T03:37:46Z	--- license: cc-by-4.0 dataset_info: features: - name: orig_caption dtype: string - name: generated_caption dtype: string - name: key dtype: string - name: url dtype: string - name: index dtype: int64 splits: - name: train num_bytes: 681710086 num_examples: 2684160 download_size: 441945582 dataset_size: 681710086 language: - en --- # Dataset Card for LAION-art-EN-improved-captions ### Dataset Summary This dataset has been created by Re:cast AI for improving the semantic relationship of image-caption pairs. `generated_captions` were created in a semi-supervised fashion using the Salesforce/blip2-flan-t5-xxl model. ### Supported Tasks Fine-tuning text-to-image generators (e.g. stable-diffusion), or a searchable prompt database (requires faiss-index). ## Dataset Structure ### Data Fields - orig_caption - generated_caption - key - index 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open-llm-leaderboard/details_Neko-Institute-of-Science__metharme-7b	open-llm-leaderboard	2023-09-16T20:24:40Z	325	0	[ "region:us" ]	null	2023-08-17T23:45:04Z	--- pretty_name: Evaluation run of Neko-Institute-of-Science/metharme-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Neko-Institute-of-Science/metharme-7b](https://huggingface.co/Neko-Institute-of-Science/metharme-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_Neko-Institute-of-Science__metharme-7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-16T20:24:28.666298](https://huggingface.co/datasets/open-llm-leaderboard/details_Neko-Institute-of-Science__metharme-7b/blob/main/results_2023-09-16T20-24-28.666298.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\": 0.0008389261744966443,\n\ \ \"em_stderr\": 0.0002964962989801231,\n \"f1\": 0.05624056208053698,\n\ \ \"f1_stderr\": 0.0012929182704935764,\n \"acc\": 0.38768667277415325,\n\ \ \"acc_stderr\": 0.009274979179847457\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0008389261744966443,\n \"em_stderr\": 0.0002964962989801231,\n\ \ \"f1\": 0.05624056208053698,\n \"f1_stderr\": 0.0012929182704935764\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.050037907505686124,\n \ \ \"acc_stderr\": 0.006005442354577731\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7253354380426204,\n \"acc_stderr\": 0.012544516005117183\n\ \ }\n}\n```" repo_url: https://huggingface.co/Neko-Institute-of-Science/metharme-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_07_18T12_25_19.200285 path: - '/details_harness\|arc:challenge\|25_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-07-18T12:25:19.200285.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_16T20_24_28.666298 path: - '/details_harness\|drop\|3_2023-09-16T20-24-28.666298.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-16T20-24-28.666298.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_16T20_24_28.666298 path: - '/details_harness\|gsm8k\|5_2023-09-16T20-24-28.666298.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-16T20-24-28.666298.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hellaswag\|10_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-18T12:25:19.200285.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-management\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-18T12:25:19.200285.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_18T12_25_19.200285 path: - '/details_harness\|truthfulqa:mc\|0_2023-07-18T12:25:19.200285.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-07-18T12:25:19.200285.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_16T20_24_28.666298 path: - '/details_harness\|winogrande\|5_2023-09-16T20-24-28.666298.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-16T20-24-28.666298.parquet' - config_name: results data_files: - split: 2023_07_18T12_25_19.200285 path: - results_2023-07-18T12:25:19.200285.parquet - split: 2023_09_16T20_24_28.666298 path: - results_2023-09-16T20-24-28.666298.parquet - split: latest path: - results_2023-09-16T20-24-28.666298.parquet --- # Dataset Card for Evaluation run of Neko-Institute-of-Science/metharme-7b ## Dataset Description - Homepage: - Repository: https://huggingface.co/Neko-Institute-of-Science/metharme-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 [Neko-Institute-of-Science/metharme-7b](https://huggingface.co/Neko-Institute-of-Science/metharme-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_Neko-Institute-of-Science__metharme-7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-16T20:24:28.666298](https://huggingface.co/datasets/open-llm-leaderboard/details_Neko-Institute-of-Science__metharme-7b/blob/main/results_2023-09-16T20-24-28.666298.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": 0.0008389261744966443, "em_stderr": 0.0002964962989801231, "f1": 0.05624056208053698, "f1_stderr": 0.0012929182704935764, "acc": 0.38768667277415325, "acc_stderr": 0.009274979179847457 }, "harness\|drop\|3": { "em": 0.0008389261744966443, "em_stderr": 0.0002964962989801231, "f1": 0.05624056208053698, "f1_stderr": 0.0012929182704935764 }, "harness\|gsm8k\|5": { "acc": 0.050037907505686124, "acc_stderr": 0.006005442354577731 }, "harness\|winogrande\|5": { "acc": 0.7253354380426204, "acc_stderr": 0.012544516005117183 } } ``` ### 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]	[ -0.3945632874965668, -0.6155632138252258, 0.21402157843112946, 0.1290348768234253, -0.11621255427598953, 0.13172116875648499, -0.3497122526168823, -0.16485503315925598, 0.42382559180259705, 0.5642618536949158, -0.7066866159439087, -0.9455536007881165, -0.6151811480522156, 0.2291230708360672, -0.11648286879062653, 1.0306198596954346, -0.27152305841445923, -0.12367933243513107, -0.025729114189743996, -0.3090541958808899, -0.4043695330619812, -0.4103747010231018, -0.5299025177955627, 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open-llm-leaderboard/details_quantumaikr__llama-2-70b-fb16-guanaco-1k	open-llm-leaderboard	2023-08-27T12:26:17Z	325	0	[ "region:us" ]	null	2023-08-18T00:01:20Z	--- pretty_name: Evaluation run of quantumaikr/llama-2-70b-fb16-guanaco-1k dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [quantumaikr/llama-2-70b-fb16-guanaco-1k](https://huggingface.co/quantumaikr/llama-2-70b-fb16-guanaco-1k)\ \ 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_quantumaikr__llama-2-70b-fb16-guanaco-1k\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-08-10T00:33:03.607588](https://huggingface.co/datasets/open-llm-leaderboard/details_quantumaikr__llama-2-70b-fb16-guanaco-1k/blob/main/results_2023-08-10T00%3A33%3A03.607588.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\": 0.7013441332798022,\n\ \ \"acc_stderr\": 0.03091715385865452,\n \"acc_norm\": 0.7054300239648517,\n\ \ \"acc_norm_stderr\": 0.030884754243271178,\n \"mc1\": 0.40636474908200737,\n\ \ \"mc1_stderr\": 0.0171938358120939,\n \"mc2\": 0.5756052671501329,\n\ \ \"mc2_stderr\": 0.014559658555893657\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6510238907849829,\n \"acc_stderr\": 0.013928933461382501,\n\ \ \"acc_norm\": 0.7047781569965871,\n \"acc_norm_stderr\": 0.013329750293382318\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.686018721370245,\n\ \ \"acc_stderr\": 0.004631603539751948,\n \"acc_norm\": 0.8733320055765784,\n\ \ \"acc_norm_stderr\": 0.00331920940013512\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.6370370370370371,\n\ \ \"acc_stderr\": 0.041539484047424,\n \"acc_norm\": 0.6370370370370371,\n\ \ \"acc_norm_stderr\": 0.041539484047424\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.7894736842105263,\n \"acc_stderr\": 0.03317672787533157,\n\ \ \"acc_norm\": 0.7894736842105263,\n \"acc_norm_stderr\": 0.03317672787533157\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.76,\n\ \ \"acc_stderr\": 0.04292346959909284,\n \"acc_norm\": 0.76,\n \ \ \"acc_norm_stderr\": 0.04292346959909284\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\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \ \ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\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\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6705202312138728,\n\ \ \"acc_stderr\": 0.03583901754736413,\n \"acc_norm\": 0.6705202312138728,\n\ \ \"acc_norm_stderr\": 0.03583901754736413\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.39215686274509803,\n \"acc_stderr\": 0.04858083574266345,\n\ \ \"acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.04858083574266345\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.6638297872340425,\n \"acc_stderr\": 0.030881618520676942,\n\ \ \"acc_norm\": 0.6638297872340425,\n \"acc_norm_stderr\": 0.030881618520676942\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.45614035087719296,\n\ \ \"acc_stderr\": 0.04685473041907789,\n \"acc_norm\": 0.45614035087719296,\n\ \ \"acc_norm_stderr\": 0.04685473041907789\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.6275862068965518,\n \"acc_stderr\": 0.04028731532947559,\n\ \ \"acc_norm\": 0.6275862068965518,\n \"acc_norm_stderr\": 0.04028731532947559\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.4497354497354497,\n \"acc_stderr\": 0.02562085704293665,\n \"\ acc_norm\": 0.4497354497354497,\n \"acc_norm_stderr\": 0.02562085704293665\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.47619047619047616,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.47,\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\": 0.8354838709677419,\n\ \ \"acc_stderr\": 0.021090847745939306,\n \"acc_norm\": 0.8354838709677419,\n\ \ \"acc_norm_stderr\": 0.021090847745939306\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5320197044334976,\n \"acc_stderr\": 0.035107665979592154,\n\ \ \"acc_norm\": 0.5320197044334976,\n \"acc_norm_stderr\": 0.035107665979592154\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.8,\n \"acc_stderr\": 0.04020151261036845,\n \"acc_norm\"\ : 0.8,\n \"acc_norm_stderr\": 0.04020151261036845\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.8242424242424242,\n \"acc_stderr\": 0.02972094300622445,\n\ \ \"acc_norm\": 0.8242424242424242,\n \"acc_norm_stderr\": 0.02972094300622445\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.898989898989899,\n \"acc_stderr\": 0.02146973557605533,\n \"acc_norm\"\ : 0.898989898989899,\n \"acc_norm_stderr\": 0.02146973557605533\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\": 0.7333333333333333,\n \"acc_stderr\": 0.022421273612923714,\n\ \ \"acc_norm\": 0.7333333333333333,\n \"acc_norm_stderr\": 0.022421273612923714\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.32222222222222224,\n \"acc_stderr\": 0.028493465091028597,\n \ \ \"acc_norm\": 0.32222222222222224,\n \"acc_norm_stderr\": 0.028493465091028597\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.7605042016806722,\n \"acc_stderr\": 0.02772206549336127,\n \ \ \"acc_norm\": 0.7605042016806722,\n \"acc_norm_stderr\": 0.02772206549336127\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.45695364238410596,\n \"acc_stderr\": 0.04067325174247443,\n \"\ acc_norm\": 0.45695364238410596,\n \"acc_norm_stderr\": 0.04067325174247443\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8935779816513761,\n \"acc_stderr\": 0.013221554674594372,\n \"\ acc_norm\": 0.8935779816513761,\n \"acc_norm_stderr\": 0.013221554674594372\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.625,\n \"acc_stderr\": 0.033016908987210894,\n \"acc_norm\": 0.625,\n\ \ \"acc_norm_stderr\": 0.033016908987210894\n },\n \"harness\|hendrycksTest-high_school_us_history\|5\"\ : {\n \"acc\": 0.9313725490196079,\n \"acc_stderr\": 0.017744453647073312,\n\ \ \"acc_norm\": 0.9313725490196079,\n \"acc_norm_stderr\": 0.017744453647073312\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8860759493670886,\n \"acc_stderr\": 0.020681745135884562,\n \ \ \"acc_norm\": 0.8860759493670886,\n \"acc_norm_stderr\": 0.020681745135884562\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.7847533632286996,\n\ \ \"acc_stderr\": 0.027584066602208274,\n \"acc_norm\": 0.7847533632286996,\n\ \ \"acc_norm_stderr\": 0.027584066602208274\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8549618320610687,\n \"acc_stderr\": 0.030884661089515375,\n\ \ \"acc_norm\": 0.8549618320610687,\n \"acc_norm_stderr\": 0.030884661089515375\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8677685950413223,\n \"acc_stderr\": 0.03092278832044579,\n \"\ acc_norm\": 0.8677685950413223,\n \"acc_norm_stderr\": 0.03092278832044579\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8425925925925926,\n\ \ \"acc_stderr\": 0.035207039905179635,\n \"acc_norm\": 0.8425925925925926,\n\ \ \"acc_norm_stderr\": 0.035207039905179635\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7914110429447853,\n \"acc_stderr\": 0.031921934489347235,\n\ \ \"acc_norm\": 0.7914110429447853,\n \"acc_norm_stderr\": 0.031921934489347235\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.04745789978762494,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.04745789978762494\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8349514563106796,\n \"acc_stderr\": 0.03675668832233188,\n\ \ \"acc_norm\": 0.8349514563106796,\n \"acc_norm_stderr\": 0.03675668832233188\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8974358974358975,\n\ \ \"acc_stderr\": 0.01987565502786746,\n \"acc_norm\": 0.8974358974358975,\n\ \ \"acc_norm_stderr\": 0.01987565502786746\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8646232439335888,\n\ \ \"acc_stderr\": 0.012234384586856488,\n \"acc_norm\": 0.8646232439335888,\n\ \ \"acc_norm_stderr\": 0.012234384586856488\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7832369942196532,\n \"acc_stderr\": 0.022183477668412856,\n\ \ \"acc_norm\": 0.7832369942196532,\n \"acc_norm_stderr\": 0.022183477668412856\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.5910614525139665,\n\ \ \"acc_stderr\": 0.016442830654715544,\n \"acc_norm\": 0.5910614525139665,\n\ \ \"acc_norm_stderr\": 0.016442830654715544\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7679738562091504,\n \"acc_stderr\": 0.024170840879340873,\n\ \ \"acc_norm\": 0.7679738562091504,\n \"acc_norm_stderr\": 0.024170840879340873\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.77491961414791,\n\ \ \"acc_stderr\": 0.023720088516179027,\n \"acc_norm\": 0.77491961414791,\n\ \ \"acc_norm_stderr\": 0.023720088516179027\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.8364197530864198,\n \"acc_stderr\": 0.02058146613825712,\n\ \ \"acc_norm\": 0.8364197530864198,\n \"acc_norm_stderr\": 0.02058146613825712\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.5709219858156028,\n \"acc_stderr\": 0.029525914302558562,\n \ \ \"acc_norm\": 0.5709219858156028,\n \"acc_norm_stderr\": 0.029525914302558562\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.5560625814863103,\n\ \ \"acc_stderr\": 0.012689708167787679,\n \"acc_norm\": 0.5560625814863103,\n\ \ \"acc_norm_stderr\": 0.012689708167787679\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.7536764705882353,\n \"acc_stderr\": 0.02617343857052,\n\ \ \"acc_norm\": 0.7536764705882353,\n \"acc_norm_stderr\": 0.02617343857052\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.7565359477124183,\n \"acc_stderr\": 0.017362473762146613,\n \ \ \"acc_norm\": 0.7565359477124183,\n \"acc_norm_stderr\": 0.017362473762146613\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\": 0.8905472636815921,\n\ \ \"acc_stderr\": 0.022076326101824657,\n \"acc_norm\": 0.8905472636815921,\n\ \ \"acc_norm_stderr\": 0.022076326101824657\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.89,\n \"acc_stderr\": 0.03144660377352203,\n \ \ \"acc_norm\": 0.89,\n \"acc_norm_stderr\": 0.03144660377352203\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\": 0.8538011695906432,\n \"acc_stderr\": 0.027097290118070806,\n\ \ \"acc_norm\": 0.8538011695906432,\n \"acc_norm_stderr\": 0.027097290118070806\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.40636474908200737,\n\ \ \"mc1_stderr\": 0.0171938358120939,\n \"mc2\": 0.5756052671501329,\n\ \ \"mc2_stderr\": 0.014559658555893657\n }\n}\n```" repo_url: https://huggingface.co/quantumaikr/llama-2-70b-fb16-guanaco-1k 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_33_03.607588 path: - '/details_harness\|arc:challenge\|25_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hellaswag\|10_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T00:33:03.607588.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T00:33:03.607588.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_10T00_33_03.607588 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-10T00:33:03.607588.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-10T00:33:03.607588.parquet' - config_name: results data_files: - split: 2023_08_10T00_33_03.607588 path: - results_2023-08-10T00:33:03.607588.parquet - split: latest path: - results_2023-08-10T00:33:03.607588.parquet --- # Dataset Card for Evaluation run of quantumaikr/llama-2-70b-fb16-guanaco-1k ## Dataset Description - Homepage: - Repository: https://huggingface.co/quantumaikr/llama-2-70b-fb16-guanaco-1k - 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 [quantumaikr/llama-2-70b-fb16-guanaco-1k](https://huggingface.co/quantumaikr/llama-2-70b-fb16-guanaco-1k) 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_quantumaikr__llama-2-70b-fb16-guanaco-1k", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-08-10T00:33:03.607588](https://huggingface.co/datasets/open-llm-leaderboard/details_quantumaikr__llama-2-70b-fb16-guanaco-1k/blob/main/results_2023-08-10T00%3A33%3A03.607588.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": 0.7013441332798022, "acc_stderr": 0.03091715385865452, "acc_norm": 0.7054300239648517, "acc_norm_stderr": 0.030884754243271178, "mc1": 0.40636474908200737, "mc1_stderr": 0.0171938358120939, "mc2": 0.5756052671501329, "mc2_stderr": 0.014559658555893657 }, "harness\|arc:challenge\|25": { "acc": 0.6510238907849829, "acc_stderr": 0.013928933461382501, "acc_norm": 0.7047781569965871, "acc_norm_stderr": 0.013329750293382318 }, "harness\|hellaswag\|10": { "acc": 0.686018721370245, "acc_stderr": 0.004631603539751948, "acc_norm": 0.8733320055765784, "acc_norm_stderr": 0.00331920940013512 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6370370370370371, "acc_stderr": 0.041539484047424, "acc_norm": 0.6370370370370371, "acc_norm_stderr": 0.041539484047424 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.7894736842105263, "acc_stderr": 0.03317672787533157, "acc_norm": 0.7894736842105263, "acc_norm_stderr": 0.03317672787533157 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.76, "acc_stderr": 0.04292346959909284, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909284 }, "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": 0.46, "acc_stderr": 0.05009082659620333, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620333 }, "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": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6705202312138728, "acc_stderr": 0.03583901754736413, "acc_norm": 0.6705202312138728, "acc_norm_stderr": 0.03583901754736413 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.39215686274509803, "acc_stderr": 0.04858083574266345, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.04858083574266345 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.6638297872340425, "acc_stderr": 0.030881618520676942, "acc_norm": 0.6638297872340425, "acc_norm_stderr": 0.030881618520676942 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.45614035087719296, "acc_stderr": 0.04685473041907789, "acc_norm": 0.45614035087719296, "acc_norm_stderr": 0.04685473041907789 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.6275862068965518, "acc_stderr": 0.04028731532947559, "acc_norm": 0.6275862068965518, "acc_norm_stderr": 0.04028731532947559 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.4497354497354497, "acc_stderr": 0.02562085704293665, "acc_norm": 0.4497354497354497, "acc_norm_stderr": 0.02562085704293665 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.47619047619047616, "acc_stderr": 0.04467062628403273, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.04467062628403273 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.8354838709677419, "acc_stderr": 0.021090847745939306, "acc_norm": 0.8354838709677419, "acc_norm_stderr": 0.021090847745939306 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5320197044334976, "acc_stderr": 0.035107665979592154, "acc_norm": 0.5320197044334976, "acc_norm_stderr": 0.035107665979592154 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.8, "acc_stderr": 0.04020151261036845, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036845 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.8242424242424242, "acc_stderr": 0.02972094300622445, "acc_norm": 0.8242424242424242, "acc_norm_stderr": 0.02972094300622445 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.898989898989899, "acc_stderr": 0.02146973557605533, "acc_norm": 0.898989898989899, "acc_norm_stderr": 0.02146973557605533 }, "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": 0.7333333333333333, "acc_stderr": 0.022421273612923714, "acc_norm": 0.7333333333333333, "acc_norm_stderr": 0.022421273612923714 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.32222222222222224, "acc_stderr": 0.028493465091028597, "acc_norm": 0.32222222222222224, "acc_norm_stderr": 0.028493465091028597 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.7605042016806722, "acc_stderr": 0.02772206549336127, "acc_norm": 0.7605042016806722, "acc_norm_stderr": 0.02772206549336127 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.45695364238410596, "acc_stderr": 0.04067325174247443, "acc_norm": 0.45695364238410596, "acc_norm_stderr": 0.04067325174247443 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8935779816513761, "acc_stderr": 0.013221554674594372, "acc_norm": 0.8935779816513761, "acc_norm_stderr": 0.013221554674594372 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.625, "acc_stderr": 0.033016908987210894, "acc_norm": 0.625, "acc_norm_stderr": 0.033016908987210894 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.9313725490196079, "acc_stderr": 0.017744453647073312, "acc_norm": 0.9313725490196079, "acc_norm_stderr": 0.017744453647073312 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8860759493670886, "acc_stderr": 0.020681745135884562, "acc_norm": 0.8860759493670886, "acc_norm_stderr": 0.020681745135884562 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.7847533632286996, "acc_stderr": 0.027584066602208274, "acc_norm": 0.7847533632286996, "acc_norm_stderr": 0.027584066602208274 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8549618320610687, "acc_stderr": 0.030884661089515375, "acc_norm": 0.8549618320610687, "acc_norm_stderr": 0.030884661089515375 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8677685950413223, "acc_stderr": 0.03092278832044579, "acc_norm": 0.8677685950413223, "acc_norm_stderr": 0.03092278832044579 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8425925925925926, "acc_stderr": 0.035207039905179635, "acc_norm": 0.8425925925925926, "acc_norm_stderr": 0.035207039905179635 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7914110429447853, "acc_stderr": 0.031921934489347235, "acc_norm": 0.7914110429447853, "acc_norm_stderr": 0.031921934489347235 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.5, "acc_stderr": 0.04745789978762494, "acc_norm": 0.5, "acc_norm_stderr": 0.04745789978762494 }, "harness\|hendrycksTest-management\|5": { "acc": 0.8349514563106796, "acc_stderr": 0.03675668832233188, "acc_norm": 0.8349514563106796, "acc_norm_stderr": 0.03675668832233188 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8974358974358975, "acc_stderr": 0.01987565502786746, "acc_norm": 0.8974358974358975, "acc_norm_stderr": 0.01987565502786746 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8646232439335888, "acc_stderr": 0.012234384586856488, "acc_norm": 0.8646232439335888, "acc_norm_stderr": 0.012234384586856488 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7832369942196532, "acc_stderr": 0.022183477668412856, "acc_norm": 0.7832369942196532, "acc_norm_stderr": 0.022183477668412856 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.5910614525139665, "acc_stderr": 0.016442830654715544, "acc_norm": 0.5910614525139665, "acc_norm_stderr": 0.016442830654715544 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7679738562091504, "acc_stderr": 0.024170840879340873, "acc_norm": 0.7679738562091504, "acc_norm_stderr": 0.024170840879340873 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.77491961414791, "acc_stderr": 0.023720088516179027, "acc_norm": 0.77491961414791, "acc_norm_stderr": 0.023720088516179027 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.8364197530864198, "acc_stderr": 0.02058146613825712, "acc_norm": 0.8364197530864198, "acc_norm_stderr": 0.02058146613825712 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.5709219858156028, "acc_stderr": 0.029525914302558562, "acc_norm": 0.5709219858156028, "acc_norm_stderr": 0.029525914302558562 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.5560625814863103, "acc_stderr": 0.012689708167787679, "acc_norm": 0.5560625814863103, "acc_norm_stderr": 0.012689708167787679 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.7536764705882353, "acc_stderr": 0.02617343857052, "acc_norm": 0.7536764705882353, "acc_norm_stderr": 0.02617343857052 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.7565359477124183, "acc_stderr": 0.017362473762146613, "acc_norm": 0.7565359477124183, "acc_norm_stderr": 0.017362473762146613 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7454545454545455, "acc_stderr": 0.041723430387053825, "acc_norm": 0.7454545454545455, "acc_norm_stderr": 0.041723430387053825 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.8204081632653061, "acc_stderr": 0.024573293589585637, "acc_norm": 0.8204081632653061, "acc_norm_stderr": 0.024573293589585637 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8905472636815921, "acc_stderr": 0.022076326101824657, "acc_norm": 0.8905472636815921, "acc_norm_stderr": 0.022076326101824657 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.89, "acc_stderr": 0.03144660377352203, "acc_norm": 0.89, "acc_norm_stderr": 0.03144660377352203 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5301204819277109, "acc_stderr": 0.03885425420866767, "acc_norm": 0.5301204819277109, "acc_norm_stderr": 0.03885425420866767 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8538011695906432, "acc_stderr": 0.027097290118070806, "acc_norm": 0.8538011695906432, "acc_norm_stderr": 0.027097290118070806 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.40636474908200737, "mc1_stderr": 0.0171938358120939, "mc2": 0.5756052671501329, "mc2_stderr": 0.014559658555893657 } } ``` ### 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]	[ -0.6827741861343384, -0.8881051540374756, 0.28827905654907227, 0.17827221751213074, -0.20944328606128693, -0.014284048229455948, 0.054091524332761765, -0.21497169137001038, 0.5794207453727722, -0.06525317579507828, -0.4516117572784424, -0.679966151714325, -0.43646368384361267, 0.2386813908815384, -0.049558285623788834, 0.8176458477973938, -0.19721560180187225, -0.12584464251995087, 0.08769383281469345, -0.012944002635776997, -0.2473704069852829, -0.2942090630531311, 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pvisnrt/mod_capstone	pvisnrt	2023-11-02T20:50:53Z	325	0	[ "license:mit", "region:us" ]	null	2023-11-02T20:50:30Z	--- license: mit dataset_info: features: - name: source sequence: string - name: summary_target sequence: string - name: tags sequence: class_label: names: '0': C '1': M '2': N '3': O '4': OB '5': W splits: - name: train num_bytes: 133158 num_examples: 80 - name: validation num_bytes: 15058 num_examples: 10 - name: test num_bytes: 22841 num_examples: 10 download_size: 50563 dataset_size: 171057 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---	[ -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, 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SoLID/shellcode_i_a32	SoLID	2022-11-17T19:53:43Z	324	6	[ "task_categories:text-generation", "task_ids:language-modeling", "annotations_creators:expert-generated", "language_creators:expert-generated", "language_creators:found", "multilinguality:translation", "size_categories:unknown", "source_datasets:original", "language:code", "language:en", "license:gpl-3.0", "arxiv:2104.13100", "region:us" ]	[ "text-generation" ]	2022-03-02T23:29:22Z	--- annotations_creators: - expert-generated language_creators: - expert-generated - found language: - code - en license: - gpl-3.0 multilinguality: - translation size_categories: - unknown source_datasets: - original task_categories: - text-generation task_ids: - language-modeling paperswithcode_id: shellcode-ia32 --- # Shellcode_IA32 ___Shellcode_IA32___ is a dataset containing _20_ years of shellcodes from a variety of sources is the largest collection of shellcodes in assembly available to date. This dataset consists of 3,200 examples of instructions in assembly language for _IA-32_ (the 32-bit version of the x86 Intel Architecture) from publicly available security exploits. We collected assembly programs used to generate shellcode from [exploit-db](https://www.exploit-db.com/shellcodes?platform=linux_x86) and from [shell-storm](http://shell-storm.org/shellcode/). We enriched the dataset by adding examples of assembly programs for the _IA-32_ architecture from popular tutorials and books. This allowed us to understand how different authors and assembly experts comment and, thus, how to deal with the ambiguity of natural language in this specific context. Our dataset consists of 10% of instructions collected from books and guidelines, and the rest from real shellcodes. Our focus is on Linux, the most common OS for security-critical network services. Accordingly, we added assembly instructions written with _Netwide Assembler_ (NASM) for Linux. Each line of _Shellcode\_IA32_ dataset represents a snippet - intent pair. The _snippet_ is a line or a combination of multiple lines of assembly code, built by following the NASM syntax. The _intent_ is a comment in the English language. Further statistics on the dataset and a set of preliminary experiments performed with a neural machine translation (NMT) model are described in the following paper: [Shellcode_IA32: A Dataset for Automatic Shellcode Generation](https://arxiv.org/abs/2104.13100). Note: This work was done in collaboration with the [DESSERT Lab](http://www.dessert.unina.it/). The dataset is also hosted on the [DESSERT Lab Github](https://github.com/dessertlab/Shellcode_IA32). Please consider citing our work: ``` @inproceedings{liguori-etal-2021-shellcode, title = "{S}hellcode{\_}{IA}32: A Dataset for Automatic Shellcode Generation", author = "Liguori, Pietro and Al-Hossami, Erfan and Cotroneo, Domenico and Natella, Roberto and Cukic, Bojan and Shaikh, Samira", booktitle = "Proceedings of the 1st Workshop on Natural Language Processing for Programming (NLP4Prog 2021)", month = aug, year = "2021", address = "Online", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2021.nlp4prog-1.7", doi = "10.18653/v1/2021.nlp4prog-1.7", pages = "58--64", abstract = "We take the first step to address the task of automatically generating shellcodes, i.e., small pieces of code used as a payload in the exploitation of a software vulnerability, starting from natural language comments. We assemble and release a novel dataset (Shellcode{\_}IA32), consisting of challenging but common assembly instructions with their natural language descriptions. We experiment with standard methods in neural machine translation (NMT) to establish baseline performance levels on this task.", } ```	[ -0.32583096623420715, -0.5210017561912537, 0.3528359532356262, -0.054652903228998184, -0.17370721697807312, -0.10318014770746231, -0.255615234375, -0.4653819501399994, 0.11088500916957855, 0.6372188925743103, -0.521425187587738, -0.786014974117279, -0.5684728622436523, 0.37707841396331787, -0.28498363494873047, 0.945745587348938, 0.10250004380941391, -0.04900046065449715, -0.01637772098183632, 0.04167648032307625, -0.06321907043457031, -0.6375684142112732, -0.19526851177215576, 0.3770924508571625, -0.14162445068359375, 0.3845613896846771, 0.4105421006679535, 1.165772795677185, 0.6625341176986694, 0.34970781207084656, 0.24121302366256714, 0.1481759399175644, -0.013907271437346935, 0.14066581428050995, 0.057090021669864655, -0.4638919234275818, -0.5392259955406189, -0.3194478750228882, 0.3815421462059021, 0.5655382871627808, 0.07352247089147568, 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IlyaGusev/ru_turbo_saiga	IlyaGusev	2023-09-04T13:26:47Z	324	11	[ "task_categories:text-generation", "task_categories:text2text-generation", "size_categories:10K<n<100K", "language:ru", "license:cc-by-4.0", "chat", "region:us" ]	[ "text-generation", "text2text-generation" ]	2023-04-08T20:53:59Z	--- dataset_info: features: - name: messages sequence: - name: role dtype: string - name: content dtype: string - name: seed dtype: string - name: source dtype: string - name: model_name dtype: string splits: - name: train num_bytes: 87316730 num_examples: 37731 download_size: 21742388 dataset_size: 87316730 license: cc-by-4.0 task_categories: - text-generation - text2text-generation language: - ru tags: - chat size_categories: - 10K<n<100K --- # Saiga Dataset of ChatGPT-generated chats in Russian. <img src="https://cdn.midjourney.com/0db33d04-9d39-45f3-acb2-e5c789852e23/0_3.png" > Based on the [Baize](https://github.com/project-baize/baize-chatbot) paper. Code: [link](https://github.com/IlyaGusev/rulm/blob/master/self_instruct/src/data_processing/generate_chat.py). Prompt: ``` Идёт диалог между пользователем и ИИ ассистентом. Пользователь и ассистент общаются на тему: {{seed}} Реплики человека начинаются с [Пользователь], реплики ассистента начинаются с [Ассистент]. Пользователь задаёт вопросы на основе темы и предыдущих сообщений. Пользователь обрывает беседу, когда у него не остается вопросов. Ассистент даёт максимально полные, информативные, точные и творческие ответы. Ассистент старается не задавать вопросов, за исключением уточняющих. Ассистент может отвечать несколькими абзацами. Ассистент может использовать Markdown. Закончи диалог точно в таком же формате. [Пользователь] Привет! [Ассистент] Привет! Чем я могу помочь? ``` ## Legal disclaimer Data is based on OpenAI’s gpt-3.5-turbo, whose [terms of use](https://openai.com/policies/terms-of-use) prohibit for us developing models that compete with OpenAI. Not for you.	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arbml/Ashaar_dataset	arbml	2023-05-29T05:40:58Z	324	0	[ "region:us" ]	null	2023-05-29T05:40:43Z	--- dataset_info: features: - name: poem title dtype: string - name: poem meter dtype: string - name: poem verses sequence: string - name: poem theme dtype: string - name: poem url dtype: string - name: poet name dtype: string - name: poet description dtype: string - name: poet url dtype: string - name: poet era dtype: string - name: poet location dtype: string - name: poem description list: - name: attributes struct: - name: class dtype: string - name: color dtype: string - name: dir dtype: string - name: face dtype: string - name: id dtype: string - name: lang dtype: string - name: style dtype: string - name: children list: - name: attributes struct: - name: color dtype: string - name: dir dtype: string - name: face dtype: string - name: href dtype: string - name: id dtype: string - name: lang dtype: string - name: style dtype: string - name: title dtype: string - name: value dtype: string - name: children list: - name: attributes struct: - name: class dtype: string - name: color dtype: string - name: dir dtype: string - name: face dtype: string - name: lang dtype: string - name: style dtype: string - name: children list: - name: attributes struct: - name: align dtype: string - name: face dtype: string - name: nowrap dtype: string - name: name dtype: string - name: parentAttributes struct: - name: lang dtype: string - name: style dtype: string - name: size dtype: int64 - name: text dtype: string - name: truncated dtype: bool - name: type dtype: string - name: name dtype: string - name: parentAttributes struct: - name: dir dtype: string - name: face dtype: string - name: id dtype: string - name: lang dtype: string - name: style dtype: string - name: partA dtype: string - name: size dtype: int64 - name: text dtype: string - name: truncated dtype: bool - name: type dtype: string - name: name dtype: string - name: parentAttributes struct: - name: class dtype: string - name: color dtype: string - name: dir dtype: string - name: id dtype: string - name: lang dtype: string - name: style dtype: string - name: partA dtype: string - name: partB dtype: string - name: size dtype: int64 - name: text dtype: string - name: truncated dtype: bool - name: type dtype: string - name: name dtype: string - name: parentAttributes struct: - name: dir dtype: string - name: style dtype: string - name: partA dtype: string - name: partB dtype: string - name: size dtype: int64 - name: text dtype: string - name: truncated dtype: bool - name: type dtype: string - name: poem language type dtype: string - name: text dtype: string splits: - name: train num_bytes: 837548964 num_examples: 212499 download_size: 371674261 dataset_size: 837548964 --- # Dataset Card for "ashaar_datasetv2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.44973224401474, -0.09849981963634491, -0.032261479645967484, 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open-llm-leaderboard/details_danielhanchen__open_llama_3b_600bt_preview	open-llm-leaderboard	2023-09-22T13:47:46Z	324	0	[ "region:us" ]	null	2023-08-18T11:56:01Z	--- pretty_name: Evaluation run of danielhanchen/open_llama_3b_600bt_preview dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [danielhanchen/open_llama_3b_600bt_preview](https://huggingface.co/danielhanchen/open_llama_3b_600bt_preview)\ \ 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_danielhanchen__open_llama_3b_600bt_preview\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-22T13:47:34.979572](https://huggingface.co/datasets/open-llm-leaderboard/details_danielhanchen__open_llama_3b_600bt_preview/blob/main/results_2023-09-22T13-47-34.979572.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\": 0.0009437919463087249,\n\ \ \"em_stderr\": 0.0003144653119413175,\n \"f1\": 0.04996329697986588,\n\ \ \"f1_stderr\": 0.0012567293128089149,\n \"acc\": 0.32150142444857593,\n\ \ \"acc_stderr\": 0.007826931083969837\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0009437919463087249,\n \"em_stderr\": 0.0003144653119413175,\n\ \ \"f1\": 0.04996329697986588,\n \"f1_stderr\": 0.0012567293128089149\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.006065200909780136,\n \ \ \"acc_stderr\": 0.002138670301460455\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.6369376479873717,\n \"acc_stderr\": 0.01351519186647922\n\ \ }\n}\n```" repo_url: https://huggingface.co/danielhanchen/open_llama_3b_600bt_preview 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_07_19T15_00_20.394414 path: - '/details_harness\|arc:challenge\|25_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-07-19T15:00:20.394414.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_22T13_47_34.979572 path: - '/details_harness\|drop\|3_2023-09-22T13-47-34.979572.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-22T13-47-34.979572.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_22T13_47_34.979572 path: - '/details_harness\|gsm8k\|5_2023-09-22T13-47-34.979572.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-22T13-47-34.979572.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hellaswag\|10_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T15:00:20.394414.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-management\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T15:00:20.394414.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_19T15_00_20.394414 path: - '/details_harness\|truthfulqa:mc\|0_2023-07-19T15:00:20.394414.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-07-19T15:00:20.394414.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_22T13_47_34.979572 path: - '/details_harness\|winogrande\|5_2023-09-22T13-47-34.979572.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-22T13-47-34.979572.parquet' - config_name: results data_files: - split: 2023_07_19T15_00_20.394414 path: - results_2023-07-19T15:00:20.394414.parquet - split: 2023_09_22T13_47_34.979572 path: - results_2023-09-22T13-47-34.979572.parquet - split: latest path: - results_2023-09-22T13-47-34.979572.parquet --- # Dataset Card for Evaluation run of danielhanchen/open_llama_3b_600bt_preview ## Dataset Description - Homepage: - Repository: https://huggingface.co/danielhanchen/open_llama_3b_600bt_preview - 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 [danielhanchen/open_llama_3b_600bt_preview](https://huggingface.co/danielhanchen/open_llama_3b_600bt_preview) 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_danielhanchen__open_llama_3b_600bt_preview", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-22T13:47:34.979572](https://huggingface.co/datasets/open-llm-leaderboard/details_danielhanchen__open_llama_3b_600bt_preview/blob/main/results_2023-09-22T13-47-34.979572.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": 0.0009437919463087249, "em_stderr": 0.0003144653119413175, "f1": 0.04996329697986588, "f1_stderr": 0.0012567293128089149, "acc": 0.32150142444857593, "acc_stderr": 0.007826931083969837 }, "harness\|drop\|3": { "em": 0.0009437919463087249, "em_stderr": 0.0003144653119413175, "f1": 0.04996329697986588, "f1_stderr": 0.0012567293128089149 }, "harness\|gsm8k\|5": { "acc": 0.006065200909780136, "acc_stderr": 0.002138670301460455 }, "harness\|winogrande\|5": { "acc": 0.6369376479873717, "acc_stderr": 0.01351519186647922 } } ``` ### 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]	[ -0.4017334580421448, -0.6906412243843079, 0.2556161880493164, 0.2320815920829773, -0.23719385266304016, 0.11904829740524292, -0.38388872146606445, -0.25508660078048706, 0.48012983798980713, 0.49965542554855347, -0.7045925855636597, -1.021181583404541, -0.6524080038070679, 0.25648370385169983, -0.19566737115383148, 1.1191654205322266, -0.33350053429603577, -0.20366311073303223, 0.031077971681952477, -0.2726084887981415, -0.28380751609802246, -0.4284396469593048, -0.422710120677948, 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open-llm-leaderboard/details_Danielbrdz__CodeBarcenas-7b	open-llm-leaderboard	2023-09-18T02:45:29Z	324	0	[ "region:us" ]	null	2023-09-05T12:22:22Z	--- pretty_name: Evaluation run of Danielbrdz/CodeBarcenas-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Danielbrdz/CodeBarcenas-7b](https://huggingface.co/Danielbrdz/CodeBarcenas-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_Danielbrdz__CodeBarcenas-7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-18T02:45:17.599730](https://huggingface.co/datasets/open-llm-leaderboard/details_Danielbrdz__CodeBarcenas-7b/blob/main/results_2023-09-18T02-45-17.599730.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\": 0.0012583892617449664,\n\ \ \"em_stderr\": 0.0003630560893119179,\n \"f1\": 0.04712458053691294,\n\ \ \"f1_stderr\": 0.0011987531964379016,\n \"acc\": 0.31440371523474825,\n\ \ \"acc_stderr\": 0.009024224601859619\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0012583892617449664,\n \"em_stderr\": 0.0003630560893119179,\n\ \ \"f1\": 0.04712458053691294,\n \"f1_stderr\": 0.0011987531964379016\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.025018953752843062,\n \ \ \"acc_stderr\": 0.004302045046564279\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.6037884767166535,\n \"acc_stderr\": 0.01374640415715496\n\ \ }\n}\n```" repo_url: https://huggingface.co/Danielbrdz/CodeBarcenas-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_05T12_21_59.082242 path: - '/details_harness\|arc:challenge\|25_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-05T12:21:59.082242.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_18T02_45_17.599730 path: - '/details_harness\|drop\|3_2023-09-18T02-45-17.599730.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-18T02-45-17.599730.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_18T02_45_17.599730 path: - '/details_harness\|gsm8k\|5_2023-09-18T02-45-17.599730.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-18T02-45-17.599730.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hellaswag\|10_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-05T12:21:59.082242.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-05T12:21:59.082242.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_05T12_21_59.082242 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-05T12:21:59.082242.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-05T12:21:59.082242.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_18T02_45_17.599730 path: - '/details_harness\|winogrande\|5_2023-09-18T02-45-17.599730.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-18T02-45-17.599730.parquet' - config_name: results data_files: - split: 2023_09_05T12_21_59.082242 path: - results_2023-09-05T12:21:59.082242.parquet - split: 2023_09_18T02_45_17.599730 path: - results_2023-09-18T02-45-17.599730.parquet - split: latest path: - results_2023-09-18T02-45-17.599730.parquet --- # Dataset Card for Evaluation run of Danielbrdz/CodeBarcenas-7b ## Dataset Description - Homepage: - Repository: https://huggingface.co/Danielbrdz/CodeBarcenas-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 [Danielbrdz/CodeBarcenas-7b](https://huggingface.co/Danielbrdz/CodeBarcenas-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_Danielbrdz__CodeBarcenas-7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-18T02:45:17.599730](https://huggingface.co/datasets/open-llm-leaderboard/details_Danielbrdz__CodeBarcenas-7b/blob/main/results_2023-09-18T02-45-17.599730.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": 0.0012583892617449664, "em_stderr": 0.0003630560893119179, "f1": 0.04712458053691294, "f1_stderr": 0.0011987531964379016, "acc": 0.31440371523474825, "acc_stderr": 0.009024224601859619 }, "harness\|drop\|3": { "em": 0.0012583892617449664, "em_stderr": 0.0003630560893119179, "f1": 0.04712458053691294, "f1_stderr": 0.0011987531964379016 }, "harness\|gsm8k\|5": { "acc": 0.025018953752843062, "acc_stderr": 0.004302045046564279 }, "harness\|winogrande\|5": { "acc": 0.6037884767166535, "acc_stderr": 0.01374640415715496 } } ``` ### 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]	[ -0.4913996458053589, -0.6697413325309753, 0.2022514045238495, 0.27273938059806824, -0.18516793847084045, 0.13790658116340637, -0.4556802809238434, -0.1808934211730957, 0.460156112909317, 0.5899649858474731, -0.6860554218292236, -1.030964732170105, -0.6289383172988892, 0.1813274621963501, -0.18575869500637054, 1.1260801553726196, -0.2868216931819916, -0.19509190320968628, 0.017646506428718567, -0.291537880897522, -0.42311859130859375, -0.44636377692222595, -0.4613288938999176, 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m_lama	null	2022-11-03T16:15:15Z	323	4	[ "task_categories:question-answering", "task_categories:text-classification", "task_ids:open-domain-qa", "task_ids:text-scoring", "annotations_creators:crowdsourced", "annotations_creators:expert-generated", "annotations_creators:machine-generated", "language_creators:crowdsourced", "language_creators:expert-generated", "language_creators:machine-generated", "multilinguality:translation", "size_categories:100K<n<1M", "source_datasets:extended\|lama", "language:af", "language:ar", "language:az", "language:be", "language:bg", "language:bn", "language:ca", "language:ceb", "language:cs", "language:cy", "language:da", "language:de", "language:el", "language:en", "language:es", "language:et", "language:eu", "language:fa", "language:fi", "language:fr", "language:ga", "language:gl", "language:he", "language:hi", "language:hr", "language:hu", "language:hy", "language:id", "language:it", "language:ja", "language:ka", "language:ko", "language:la", "language:lt", "language:lv", "language:ms", "language:nl", "language:pl", "language:pt", "language:ro", "language:ru", "language:sk", "language:sl", "language:sq", "language:sr", "language:sv", "language:ta", "language:th", "language:tr", "language:uk", "language:ur", "language:vi", "language:zh", "license:cc-by-nc-sa-4.0", "probing", "arxiv:2102.00894", "region:us" ]	[ "question-answering", "text-classification" ]	2022-03-02T23:29:22Z	--- annotations_creators: - crowdsourced - expert-generated - machine-generated language_creators: - crowdsourced - expert-generated - machine-generated language: - af - ar - az - be - bg - bn - ca - ceb - cs - cy - da - de - el - en - es - et - eu - fa - fi - fr - ga - gl - he - hi - hr - hu - hy - id - it - ja - ka - ko - la - lt - lv - ms - nl - pl - pt - ro - ru - sk - sl - sq - sr - sv - ta - th - tr - uk - ur - vi - zh license: - cc-by-nc-sa-4.0 multilinguality: - translation size_categories: - 100K<n<1M source_datasets: - extended\|lama task_categories: - question-answering - text-classification task_ids: - open-domain-qa - text-scoring paperswithcode_id: null pretty_name: MLama tags: - probing dataset_info: features: - name: uuid dtype: string - name: lineid dtype: uint32 - name: obj_uri dtype: string - name: obj_label dtype: string - name: sub_uri dtype: string - name: sub_label dtype: string - name: template dtype: string - name: language dtype: string - name: predicate_id dtype: string config_name: all splits: - name: test num_bytes: 125919995 num_examples: 843143 download_size: 40772287 dataset_size: 125919995 --- # Dataset Card for [Dataset Name] ## 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: [Multilingual LAMA](http://cistern.cis.lmu.de/mlama/) - Repository: [Github](https://github.com/norakassner/mlama) - Paper: [Arxiv](https://arxiv.org/abs/2102.00894) - Point of Contact: [Contact section](http://cistern.cis.lmu.de/mlama/) ### Dataset Summary This dataset provides the data for mLAMA, a multilingual version of LAMA. Regarding LAMA see https://github.com/facebookresearch/LAMA. For mLAMA the TREx and GoogleRE part of LAMA was considered and machine translated using Google Translate, and the Wikidata and Google Knowledge Graph API. The machine translated templates were checked for validity, i.e., whether they contain exactly one '[X]' and one '[Y]'. This data can be used for creating fill-in-the-blank queries like "Paris is the capital of [MASK]" across 53 languages. For more details see the website http://cistern.cis.lmu.de/mlama/ or the github repo https://github.com/norakassner/mlama. ### Supported Tasks and Leaderboards Language model knowledge probing. ### Languages This dataset contains data in 53 languages: af,ar,az,be,bg,bn,ca,ceb,cs,cy,da,de,el,en,es,et,eu,fa,fi,fr,ga,gl,he,hi,hr,hu,hy,id,it,ja,ka,ko,la,lt,lv,ms,nl,pl,pt,ro,ru,sk,sl,sq,sr,sv,ta,th,tr,uk,ur,vi,zh ## Dataset Structure For each of the 53 languages and each of the 43 relations/predicates there is a set of triples. ### Data Instances For each language and relation there are triples, that consists of an object, a predicate and a subject. For each predicate there is a template available. An example for `dataset["test"][0]` is given here: ```python { 'language': 'af', 'lineid': 0, 'obj_label': 'Frankryk', 'obj_uri': 'Q142', 'predicate_id': 'P1001', 'sub_label': 'President van Frankryk', 'sub_uri': 'Q191954', 'template': "[X] is 'n wettige term in [Y].", 'uuid': '3fe3d4da-9df9-45ba-8109-784ce5fba38a' } ``` ### Data Fields Each instance has the following fields * "uuid": a unique identifier * "lineid": a identifier unique to mlama * "obj_id": knowledge graph id of the object * "obj_label": surface form of the object * "sub_id": knowledge graph id of the subject * "sub_label": surface form of the subject * "template": template * "language": language code * "predicate_id": relation id ### Data Splits There is only one partition that is labelled as 'test data'. ## Dataset Creation ### Curation Rationale The dataset was translated into 53 languages to investigate knowledge in pretrained language models multilingually. ### Source Data #### Initial Data Collection and Normalization The data has several sources: LAMA (https://github.com/facebookresearch/LAMA) licensed under Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) T-REx (https://hadyelsahar.github.io/t-rex/) licensed under Creative Commons Attribution-ShareAlike 4.0 International License Google-RE (https://github.com/google-research-datasets/relation-extraction-corpus) Wikidata (https://www.wikidata.org/) licensed under Creative Commons CC0 License and Creative Commons Attribution-ShareAlike License #### Who are the source language producers? See links above. ### Annotations #### Annotation process Crowdsourced (wikidata) and machine translated. #### Who are the annotators? Unknown. ### Personal and Sensitive Information Names of (most likely) famous people who have entries in Google Knowledge Graph or Wikidata. ## Considerations for Using the Data Data was created through machine translation and automatic processes. ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations Not all triples are available in all languages. ## Additional Information ### Dataset Curators The authors of the mLAMA paper and the authors of the original datasets. ### Licensing Information The Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). https://creativecommons.org/licenses/by-nc-sa/4.0/ ### Citation Information ``` @article{kassner2021multilingual, author = {Nora Kassner and Philipp Dufter and Hinrich Sch{\"{u}}tze}, title = {Multilingual {LAMA:} Investigating Knowledge in Multilingual Pretrained Language Models}, journal = {CoRR}, volume = {abs/2102.00894}, year = {2021}, url = {https://arxiv.org/abs/2102.00894}, archivePrefix = {arXiv}, eprint = {2102.00894}, timestamp = {Tue, 09 Feb 2021 13:35:56 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2102-00894.bib}, bibsource = {dblp computer science bibliography, https://dblp.org}, note = {to appear in EACL2021} } ``` ### Contributions Thanks to [@pdufter](https://github.com/pdufter) for adding this dataset.	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sled-umich/TRIP	sled-umich	2022-10-14T19:17:29Z	323	0	[ "task_categories:text-classification", "task_ids:natural-language-inference", "annotations_creators:expert-generated", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:en", "region:us" ]	[ "text-classification" ]	2022-10-12T18:23:13Z	--- annotations_creators: - expert-generated language: - en language_creators: - crowdsourced license: [] multilinguality: - monolingual pretty_name: 'TRIP: Tiered Reasoning for Intuitive Physics' size_categories: - 1K<n<10K source_datasets: - original tags: [] task_categories: - text-classification task_ids: - natural-language-inference --- # [TRIP - Tiered Reasoning for Intuitive Physics](https://aclanthology.org/2021.findings-emnlp.422/) Official dataset for [Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding](https://aclanthology.org/2021.findings-emnlp.422/). Shane Storks, Qiaozi Gao, Yichi Zhang, Joyce Chai. EMNLP Findings, 2021. For our official model and experiment code, please check [GitHub](https://github.com/sled-group/Verifiable-Coherent-NLU). ## Overview ![image](trip_sample.png) We introduce Tiered Reasoning for Intuitive Physics (TRIP), a novel commonsense reasoning dataset with dense annotations that enable multi-tiered evaluation of machines’ reasoning process. It includes dense annotations for each story capturing multiple tiers of reasoning beyond the end task. From these annotations, we propose a tiered evaluation, where given a pair of highly similar stories (differing only by one sentence which makes one of the stories implausible), systems must jointly identify (1) the plausible story, (2) a pair of conflicting sentences in the implausible story, and (3) the underlying physical states in those sentences causing the conflict. The goal of TRIP is to enable a systematic evaluation of machine coherence toward the end task prediction of plausibility. In particular, we evaluate whether a high-level plausibility prediction can be verified based on lower-level understanding, for example, physical state changes that would support the prediction. ## Download ```python from datasets import load_dataset dataset = load_dataset("sled-umich/TRIP") ``` * [HuggingFace-Dataset](https://huggingface.co/datasets/sled-umich/TRIP) * [GitHub](https://github.com/sled-group/Verifiable-Coherent-NLU) ## Cite ```bibtex @misc{storks2021tiered, title={Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding}, author={Shane Storks and Qiaozi Gao and Yichi Zhang and Joyce Chai}, year={2021}, booktitle={Findings of the Association for Computational Linguistics: EMNLP 2021}, location={Punta Cana, Dominican Republic}, publisher={Association for Computational Linguistics}, } ```	[ -0.24794727563858032, -0.8537355661392212, 0.6494401097297668, 0.2396976798772812, 0.06996265053749084, 0.11997867375612259, -0.1430939882993698, 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open-llm-leaderboard/details_Panchovix__airoboros-33b-gpt4-1.2-SuperHOT-8k	open-llm-leaderboard	2023-09-17T16:57:39Z	323	0	[ "region:us" ]	null	2023-08-18T18:47:20Z	--- pretty_name: Evaluation run of Panchovix/airoboros-33b-gpt4-1.2-SuperHOT-8k dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Panchovix/airoboros-33b-gpt4-1.2-SuperHOT-8k](https://huggingface.co/Panchovix/airoboros-33b-gpt4-1.2-SuperHOT-8k)\ \ 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_Panchovix__airoboros-33b-gpt4-1.2-SuperHOT-8k\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-17T16:57:27.002060](https://huggingface.co/datasets/open-llm-leaderboard/details_Panchovix__airoboros-33b-gpt4-1.2-SuperHOT-8k/blob/main/results_2023-09-17T16-57-27.002060.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\": 0.0026216442953020135,\n\ \ \"em_stderr\": 0.0005236685642965811,\n \"f1\": 0.005930159395973156,\n\ \ \"f1_stderr\": 0.0006950327104148204,\n \"acc\": 0.2521704814522494,\n\ \ \"acc_stderr\": 0.007025978032038446\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0026216442953020135,\n \"em_stderr\": 0.0005236685642965811,\n\ \ \"f1\": 0.005930159395973156,\n \"f1_stderr\": 0.0006950327104148204\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n },\n \"harness\|winogrande\|5\": {\n \"acc\": 0.5043409629044988,\n\ \ \"acc_stderr\": 0.014051956064076892\n }\n}\n```" repo_url: https://huggingface.co/Panchovix/airoboros-33b-gpt4-1.2-SuperHOT-8k 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_17T20_41_42.341199 path: - '/details_harness\|arc:challenge\|25_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-17T20:41:42.341199.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_17T16_57_27.002060 path: - '/details_harness\|drop\|3_2023-09-17T16-57-27.002060.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-17T16-57-27.002060.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_17T16_57_27.002060 path: - '/details_harness\|gsm8k\|5_2023-09-17T16-57-27.002060.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-17T16-57-27.002060.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hellaswag\|10_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T20:41:42.341199.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T20:41:42.341199.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_17T20_41_42.341199 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-17T20:41:42.341199.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-17T20:41:42.341199.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_17T16_57_27.002060 path: - '/details_harness\|winogrande\|5_2023-09-17T16-57-27.002060.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-17T16-57-27.002060.parquet' - config_name: results data_files: - split: 2023_08_17T20_41_42.341199 path: - results_2023-08-17T20:41:42.341199.parquet - split: 2023_09_17T16_57_27.002060 path: - results_2023-09-17T16-57-27.002060.parquet - split: latest path: - results_2023-09-17T16-57-27.002060.parquet --- # Dataset Card for Evaluation run of Panchovix/airoboros-33b-gpt4-1.2-SuperHOT-8k ## Dataset Description - Homepage: - Repository: https://huggingface.co/Panchovix/airoboros-33b-gpt4-1.2-SuperHOT-8k - 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 [Panchovix/airoboros-33b-gpt4-1.2-SuperHOT-8k](https://huggingface.co/Panchovix/airoboros-33b-gpt4-1.2-SuperHOT-8k) 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_Panchovix__airoboros-33b-gpt4-1.2-SuperHOT-8k", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-17T16:57:27.002060](https://huggingface.co/datasets/open-llm-leaderboard/details_Panchovix__airoboros-33b-gpt4-1.2-SuperHOT-8k/blob/main/results_2023-09-17T16-57-27.002060.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": 0.0026216442953020135, "em_stderr": 0.0005236685642965811, "f1": 0.005930159395973156, "f1_stderr": 0.0006950327104148204, "acc": 0.2521704814522494, "acc_stderr": 0.007025978032038446 }, "harness\|drop\|3": { "em": 0.0026216442953020135, "em_stderr": 0.0005236685642965811, "f1": 0.005930159395973156, "f1_stderr": 0.0006950327104148204 }, "harness\|gsm8k\|5": { "acc": 0.0, "acc_stderr": 0.0 }, "harness\|winogrande\|5": { "acc": 0.5043409629044988, "acc_stderr": 0.014051956064076892 } } ``` ### 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]	[ -0.4817236661911011, -0.6180161833763123, 0.16697905957698822, 0.16974981129169464, -0.2118082195520401, 0.13085871934890747, -0.2846880853176117, -0.17668697237968445, 0.3815150856971741, 0.4517684876918793, -0.7119829058647156, -0.8702669739723206, -0.7116913199424744, 0.13508524000644684, -0.16480836272239685, 1.244791030883789, -0.2314811795949936, -0.2260393500328064, 0.09009747207164764, -0.24723951518535614, -0.29350000619888306, -0.4804002344608307, -0.4595733880996704, 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open-llm-leaderboard/details_NousResearch__Nous-Capybara-7B	open-llm-leaderboard	2023-10-26T10:04:19Z	323	0	[ "region:us" ]	null	2023-10-03T19:27:33Z	--- pretty_name: Evaluation run of NousResearch/Nous-Capybara-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [NousResearch/Nous-Capybara-7B](https://huggingface.co/NousResearch/Nous-Capybara-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_NousResearch__Nous-Capybara-7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-26T10:04:06.657225](https://huggingface.co/datasets/open-llm-leaderboard/details_NousResearch__Nous-Capybara-7B/blob/main/results_2023-10-26T10-04-06.657225.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\": 0.27485318791946306,\n\ \ \"em_stderr\": 0.004571966205905316,\n \"f1\": 0.33436241610738393,\n\ \ \"f1_stderr\": 0.004533650800277715,\n \"acc\": 0.40148895416572666,\n\ \ \"acc_stderr\": 0.009723217836579088\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.27485318791946306,\n \"em_stderr\": 0.004571966205905316,\n\ \ \"f1\": 0.33436241610738393,\n \"f1_stderr\": 0.004533650800277715\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.06974981046247157,\n \ \ \"acc_stderr\": 0.007016389571013846\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7332280978689818,\n \"acc_stderr\": 0.01243004610214433\n\ \ }\n}\n```" repo_url: https://huggingface.co/NousResearch/Nous-Capybara-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_03T19_27_10.043918 path: - '/details_harness\|arc:challenge\|25_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-03T19-27-10.043918.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_26T10_04_06.657225 path: - '/details_harness\|drop\|3_2023-10-26T10-04-06.657225.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-26T10-04-06.657225.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_26T10_04_06.657225 path: - '/details_harness\|gsm8k\|5_2023-10-26T10-04-06.657225.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-26T10-04-06.657225.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hellaswag\|10_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-03T19-27-10.043918.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-03T19-27-10.043918.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_03T19_27_10.043918 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-03T19-27-10.043918.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-03T19-27-10.043918.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_26T10_04_06.657225 path: - '/details_harness\|winogrande\|5_2023-10-26T10-04-06.657225.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-26T10-04-06.657225.parquet' - config_name: results data_files: - split: 2023_10_03T19_27_10.043918 path: - results_2023-10-03T19-27-10.043918.parquet - split: 2023_10_26T10_04_06.657225 path: - results_2023-10-26T10-04-06.657225.parquet - split: latest path: - results_2023-10-26T10-04-06.657225.parquet --- # Dataset Card for Evaluation run of NousResearch/Nous-Capybara-7B ## Dataset Description - Homepage: - Repository: https://huggingface.co/NousResearch/Nous-Capybara-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 [NousResearch/Nous-Capybara-7B](https://huggingface.co/NousResearch/Nous-Capybara-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_NousResearch__Nous-Capybara-7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-26T10:04:06.657225](https://huggingface.co/datasets/open-llm-leaderboard/details_NousResearch__Nous-Capybara-7B/blob/main/results_2023-10-26T10-04-06.657225.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": 0.27485318791946306, "em_stderr": 0.004571966205905316, "f1": 0.33436241610738393, "f1_stderr": 0.004533650800277715, "acc": 0.40148895416572666, "acc_stderr": 0.009723217836579088 }, "harness\|drop\|3": { "em": 0.27485318791946306, "em_stderr": 0.004571966205905316, "f1": 0.33436241610738393, "f1_stderr": 0.004533650800277715 }, "harness\|gsm8k\|5": { "acc": 0.06974981046247157, "acc_stderr": 0.007016389571013846 }, "harness\|winogrande\|5": { "acc": 0.7332280978689818, "acc_stderr": 0.01243004610214433 } } ``` ### 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]	[ -0.42395806312561035, -0.5645226240158081, 0.13819681107997894, 0.21920040249824524, -0.030197445303201675, 0.1805412620306015, -0.3808251917362213, -0.15524625778198242, 0.5068495869636536, 0.5260227918624878, -0.6300250887870789, -0.9172731637954712, -0.5655311942100525, 0.12606793642044067, -0.23487669229507446, 1.3174207210540771, -0.19950638711452484, -0.24035780131816864, -0.016342496499419212, -0.3809950649738312, -0.3969002366065979, -0.3491949141025543, -0.5447705388069153, 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KShivendu/dbpedia-entities-openai-1M	KShivendu	2023-11-16T04:34:14Z	322	10	[ "size_categories:1M<n<10M", "language:en", "license:mit", "region:us" ]	null	2023-06-20T22:29:43Z	--- license: mit dataset_info: features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string - name: openai sequence: float32 splits: - name: train num_bytes: 12383152 num_examples: 1000000 download_size: 12383152 dataset_size: 1000000 language: - en pretty_name: OpenAI 1M with DBPedia Entities size_categories: - 1M<n<10M --- 1M OpenAI Embeddings -- 1536 dimensions Created: June 2023. Text used for Embedding: title (string) + text (string) Embedding Model: text-embedding-ada-002 First used for the pgvector vs VectorDB (Qdrant) benchmark: https://nirantk.com/writing/pgvector-vs-qdrant/ ### Future work We are planning to take this up to 10M (and possibly 100M) vectors. Contact [@KShivendu_](https://twitter.com/KShivendu_) on Twitter or mail to [email protected] if you want to help :) ### Credits: This dataset was generated from the first 1M entries of https://huggingface.co/datasets/BeIR/dbpedia-entity	[ -0.552349328994751, -0.4741537868976593, 0.3920805752277374, 0.21178066730499268, -0.4175259470939636, -0.43849796056747437, 0.24527651071548462, -0.3492439389228821, 0.36026421189308167, 0.28356310725212097, -0.4027489125728607, -0.791496753692627, -0.46873170137405396, -0.005956343375146389, -0.3141414225101471, 0.7599509954452515, -0.2612837553024292, -0.07743681967258453, -0.3576481342315674, -0.4358595311641693, 0.03725915774703026, -0.5770117044448853, -0.41413614153862, 0.28970542550086975, 0.7388010621070862, 0.5186440348625183, 0.6362583637237549, 0.7968825697898865, 0.6500515341758728, 0.1631002575159073, -0.11574038863182068, 0.18982607126235962, -0.570528507232666, -0.30948740243911743, -0.19427654147148132, -0.04304467514157295, 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open-llm-leaderboard/details_lgaalves__gpt2-dolly	open-llm-leaderboard	2023-10-26T15:16:32Z	322	0	[ "region:us" ]	null	2023-08-18T00:04:11Z	--- pretty_name: Evaluation run of lgaalves/gpt2-dolly dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [lgaalves/gpt2-dolly](https://huggingface.co/lgaalves/gpt2-dolly) on the [Open\ \ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 4 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_lgaalves__gpt2-dolly\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-26T15:16:18.909977](https://huggingface.co/datasets/open-llm-leaderboard/details_lgaalves__gpt2-dolly/blob/main/results_2023-10-26T15-16-18.909977.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\": 0.0008389261744966443,\n\ \ \"em_stderr\": 0.00029649629898012396,\n \"f1\": 0.034500838926174546,\n\ \ \"f1_stderr\": 0.0010901499685640162,\n \"acc\": 0.25805886045310694,\n\ \ \"acc_stderr\": 0.007559135865912546\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0008389261744966443,\n \"em_stderr\": 0.00029649629898012396,\n\ \ \"f1\": 0.034500838926174546,\n \"f1_stderr\": 0.0010901499685640162\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.001516300227445034,\n \ \ \"acc_stderr\": 0.0010717793485492627\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.5146014206787688,\n \"acc_stderr\": 0.01404649238327583\n\ \ }\n}\n```" repo_url: https://huggingface.co/lgaalves/gpt2-dolly 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_09T12_04_01.298115 path: - '/details_harness\|arc:challenge\|25_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|arc:challenge\|25_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-21T18-57-43.248355.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_16T15_21_03.106621 path: - '/details_harness\|drop\|3_2023-10-16T15-21-03.106621.parquet' - split: 2023_10_26T15_16_18.909977 path: - '/details_harness\|drop\|3_2023-10-26T15-16-18.909977.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-26T15-16-18.909977.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_16T15_21_03.106621 path: - '/details_harness\|gsm8k\|5_2023-10-16T15-21-03.106621.parquet' - split: 2023_10_26T15_16_18.909977 path: - '/details_harness\|gsm8k\|5_2023-10-26T15-16-18.909977.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-26T15-16-18.909977.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hellaswag\|10_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hellaswag\|10_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T12:04:01.298115.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-21T18-57-43.248355.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-21T18-57-43.248355.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_09T12_04_01.298115 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-09T12:04:01.298115.parquet' - split: 2023_09_21T18_57_43.248355 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-21T18-57-43.248355.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-21T18-57-43.248355.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_16T15_21_03.106621 path: - '/details_harness\|winogrande\|5_2023-10-16T15-21-03.106621.parquet' - split: 2023_10_26T15_16_18.909977 path: - '/details_harness\|winogrande\|5_2023-10-26T15-16-18.909977.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-26T15-16-18.909977.parquet' - config_name: results data_files: - split: 2023_08_09T12_04_01.298115 path: - results_2023-08-09T12:04:01.298115.parquet - split: 2023_09_21T18_57_43.248355 path: - results_2023-09-21T18-57-43.248355.parquet - split: 2023_10_16T15_21_03.106621 path: - results_2023-10-16T15-21-03.106621.parquet - split: 2023_10_26T15_16_18.909977 path: - results_2023-10-26T15-16-18.909977.parquet - split: latest path: - results_2023-10-26T15-16-18.909977.parquet --- # Dataset Card for Evaluation run of lgaalves/gpt2-dolly ## Dataset Description - Homepage: - Repository: https://huggingface.co/lgaalves/gpt2-dolly - 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 [lgaalves/gpt2-dolly](https://huggingface.co/lgaalves/gpt2-dolly) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 4 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_lgaalves__gpt2-dolly", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-26T15:16:18.909977](https://huggingface.co/datasets/open-llm-leaderboard/details_lgaalves__gpt2-dolly/blob/main/results_2023-10-26T15-16-18.909977.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": 0.0008389261744966443, "em_stderr": 0.00029649629898012396, "f1": 0.034500838926174546, "f1_stderr": 0.0010901499685640162, "acc": 0.25805886045310694, "acc_stderr": 0.007559135865912546 }, "harness\|drop\|3": { "em": 0.0008389261744966443, "em_stderr": 0.00029649629898012396, "f1": 0.034500838926174546, "f1_stderr": 0.0010901499685640162 }, "harness\|gsm8k\|5": { "acc": 0.001516300227445034, "acc_stderr": 0.0010717793485492627 }, "harness\|winogrande\|5": { "acc": 0.5146014206787688, "acc_stderr": 0.01404649238327583 } } ``` ### 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]	[ -0.28487178683280945, -0.7011806964874268, 0.21197274327278137, 0.21182435750961304, -0.1668379008769989, 0.08537192642688751, -0.27986815571784973, -0.2090507298707962, 0.340748131275177, 0.544994592666626, -0.6674214005470276, -0.866701066493988, -0.7481583952903748, 0.13108660280704498, -0.21211807429790497, 1.2189216613769531, -0.30636659264564514, -0.24001961946487427, 0.016079006716609, -0.2501518726348877, -0.3690735399723053, -0.4110523462295532, -0.5092252492904663, 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open-llm-leaderboard/details_yeontaek__llama-2-70B-ensemble-v7	open-llm-leaderboard	2023-09-04T02:39:23Z	322	0	[ "region:us" ]	null	2023-09-04T02:38:25Z	--- pretty_name: Evaluation run of yeontaek/llama-2-70B-ensemble-v7 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [yeontaek/llama-2-70B-ensemble-v7](https://huggingface.co/yeontaek/llama-2-70B-ensemble-v7)\ \ 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_yeontaek__llama-2-70B-ensemble-v7\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-09-04T02:38:01.038212](https://huggingface.co/datasets/open-llm-leaderboard/details_yeontaek__llama-2-70B-ensemble-v7/blob/main/results_2023-09-04T02%3A38%3A01.038212.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\": 0.6832397060915553,\n\ \ \"acc_stderr\": 0.031693477754770626,\n \"acc_norm\": 0.6869592578044069,\n\ \ \"acc_norm_stderr\": 0.03166529474407705,\n \"mc1\": 0.4418604651162791,\n\ \ \"mc1_stderr\": 0.017384767478986214,\n \"mc2\": 0.6310264033909807,\n\ \ \"mc2_stderr\": 0.01502146266727205\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6749146757679181,\n \"acc_stderr\": 0.01368814730972912,\n\ \ \"acc_norm\": 0.7030716723549488,\n \"acc_norm_stderr\": 0.013352025976725227\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6818362875921131,\n\ \ \"acc_stderr\": 0.004648115322328777,\n \"acc_norm\": 0.873132842063334,\n\ \ \"acc_norm_stderr\": 0.0033214390244115494\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.6370370370370371,\n\ \ \"acc_stderr\": 0.04153948404742398,\n \"acc_norm\": 0.6370370370370371,\n\ \ \"acc_norm_stderr\": 0.04153948404742398\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.7828947368421053,\n \"acc_stderr\": 0.03355045304882923,\n\ \ \"acc_norm\": 0.7828947368421053,\n \"acc_norm_stderr\": 0.03355045304882923\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.75,\n\ \ \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n \ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7283018867924528,\n \"acc_stderr\": 0.027377706624670713,\n\ \ \"acc_norm\": 0.7283018867924528,\n \"acc_norm_stderr\": 0.027377706624670713\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.8194444444444444,\n\ \ \"acc_stderr\": 0.032166008088022675,\n \"acc_norm\": 0.8194444444444444,\n\ \ \"acc_norm_stderr\": 0.032166008088022675\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"\ acc_norm_stderr\": 0.05\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.35,\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\": 0.630057803468208,\n\ \ \"acc_stderr\": 0.0368122963339432,\n \"acc_norm\": 0.630057803468208,\n\ \ \"acc_norm_stderr\": 0.0368122963339432\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.3627450980392157,\n \"acc_stderr\": 0.04784060704105653,\n\ \ \"acc_norm\": 0.3627450980392157,\n \"acc_norm_stderr\": 0.04784060704105653\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.6595744680851063,\n \"acc_stderr\": 0.030976692998534422,\n\ \ \"acc_norm\": 0.6595744680851063,\n \"acc_norm_stderr\": 0.030976692998534422\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.43859649122807015,\n\ \ \"acc_stderr\": 0.04668000738510455,\n \"acc_norm\": 0.43859649122807015,\n\ \ \"acc_norm_stderr\": 0.04668000738510455\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5862068965517241,\n \"acc_stderr\": 0.04104269211806232,\n\ \ \"acc_norm\": 0.5862068965517241,\n \"acc_norm_stderr\": 0.04104269211806232\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.48148148148148145,\n \"acc_stderr\": 0.025733641991838987,\n \"\ acc_norm\": 0.48148148148148145,\n \"acc_norm_stderr\": 0.025733641991838987\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.46825396825396826,\n\ \ \"acc_stderr\": 0.04463112720677172,\n \"acc_norm\": 0.46825396825396826,\n\ \ \"acc_norm_stderr\": 0.04463112720677172\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\": 0.8032258064516129,\n\ \ \"acc_stderr\": 0.022616409420742025,\n \"acc_norm\": 0.8032258064516129,\n\ \ \"acc_norm_stderr\": 0.022616409420742025\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5270935960591133,\n \"acc_stderr\": 0.03512819077876106,\n\ \ \"acc_norm\": 0.5270935960591133,\n \"acc_norm_stderr\": 0.03512819077876106\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\"\ : 0.75,\n \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.8545454545454545,\n \"acc_stderr\": 0.027530196355066573,\n\ \ \"acc_norm\": 0.8545454545454545,\n \"acc_norm_stderr\": 0.027530196355066573\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.8939393939393939,\n \"acc_stderr\": 0.021938047738853113,\n \"\ acc_norm\": 0.8939393939393939,\n \"acc_norm_stderr\": 0.021938047738853113\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.927461139896373,\n \"acc_stderr\": 0.018718998520678178,\n\ \ \"acc_norm\": 0.927461139896373,\n \"acc_norm_stderr\": 0.018718998520678178\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6948717948717948,\n \"acc_stderr\": 0.023346335293325887,\n\ \ \"acc_norm\": 0.6948717948717948,\n \"acc_norm_stderr\": 0.023346335293325887\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3333333333333333,\n \"acc_stderr\": 0.028742040903948492,\n \ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.028742040903948492\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.7478991596638656,\n \"acc_stderr\": 0.028205545033277726,\n\ \ \"acc_norm\": 0.7478991596638656,\n \"acc_norm_stderr\": 0.028205545033277726\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.4503311258278146,\n \"acc_stderr\": 0.04062290018683775,\n \"\ acc_norm\": 0.4503311258278146,\n \"acc_norm_stderr\": 0.04062290018683775\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8880733944954129,\n \"acc_stderr\": 0.013517352714958792,\n \"\ acc_norm\": 0.8880733944954129,\n \"acc_norm_stderr\": 0.013517352714958792\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\"\ : 0.8970588235294118,\n \"acc_stderr\": 0.02132833757080438,\n \"\ acc_norm\": 0.8970588235294118,\n \"acc_norm_stderr\": 0.02132833757080438\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8818565400843882,\n \"acc_stderr\": 0.021011052659878456,\n \ \ \"acc_norm\": 0.8818565400843882,\n \"acc_norm_stderr\": 0.021011052659878456\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.7623318385650224,\n\ \ \"acc_stderr\": 0.02856807946471428,\n \"acc_norm\": 0.7623318385650224,\n\ \ \"acc_norm_stderr\": 0.02856807946471428\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.0349814938546247,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.0349814938546247\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8264462809917356,\n \"acc_stderr\": 0.03457272836917671,\n \"\ acc_norm\": 0.8264462809917356,\n \"acc_norm_stderr\": 0.03457272836917671\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\": 0.8098159509202454,\n \"acc_stderr\": 0.03083349114628123,\n\ \ \"acc_norm\": 0.8098159509202454,\n \"acc_norm_stderr\": 0.03083349114628123\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.48214285714285715,\n\ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.48214285714285715,\n\ \ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.0398913985953177,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.0398913985953177\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8846153846153846,\n\ \ \"acc_stderr\": 0.020930193185179333,\n \"acc_norm\": 0.8846153846153846,\n\ \ \"acc_norm_stderr\": 0.020930193185179333\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \ \ \"acc_norm\": 0.66,\n \"acc_norm_stderr\": 0.04760952285695237\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8646232439335888,\n\ \ \"acc_stderr\": 0.012234384586856491,\n \"acc_norm\": 0.8646232439335888,\n\ \ \"acc_norm_stderr\": 0.012234384586856491\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7456647398843931,\n \"acc_stderr\": 0.023445826276545543,\n\ \ \"acc_norm\": 0.7456647398843931,\n \"acc_norm_stderr\": 0.023445826276545543\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.5910614525139665,\n\ \ \"acc_stderr\": 0.016442830654715548,\n \"acc_norm\": 0.5910614525139665,\n\ \ \"acc_norm_stderr\": 0.016442830654715548\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7091503267973857,\n \"acc_stderr\": 0.02600480036395213,\n\ \ \"acc_norm\": 0.7091503267973857,\n \"acc_norm_stderr\": 0.02600480036395213\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7717041800643086,\n\ \ \"acc_stderr\": 0.023839303311398195,\n \"acc_norm\": 0.7717041800643086,\n\ \ \"acc_norm_stderr\": 0.023839303311398195\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.8024691358024691,\n \"acc_stderr\": 0.022152889927898968,\n\ \ \"acc_norm\": 0.8024691358024691,\n \"acc_norm_stderr\": 0.022152889927898968\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.5460992907801419,\n \"acc_stderr\": 0.029700453247291474,\n \ \ \"acc_norm\": 0.5460992907801419,\n \"acc_norm_stderr\": 0.029700453247291474\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.5430247718383312,\n\ \ \"acc_stderr\": 0.012722869501611419,\n \"acc_norm\": 0.5430247718383312,\n\ \ \"acc_norm_stderr\": 0.012722869501611419\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6838235294117647,\n \"acc_stderr\": 0.028245687391462927,\n\ \ \"acc_norm\": 0.6838235294117647,\n \"acc_norm_stderr\": 0.028245687391462927\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.7238562091503268,\n \"acc_stderr\": 0.018087276935663137,\n \ \ \"acc_norm\": 0.7238562091503268,\n \"acc_norm_stderr\": 0.018087276935663137\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7090909090909091,\n\ \ \"acc_stderr\": 0.043502714429232425,\n \"acc_norm\": 0.7090909090909091,\n\ \ \"acc_norm_stderr\": 0.043502714429232425\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7877551020408163,\n \"acc_stderr\": 0.026176967197866764,\n\ \ \"acc_norm\": 0.7877551020408163,\n \"acc_norm_stderr\": 0.026176967197866764\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8706467661691543,\n\ \ \"acc_stderr\": 0.023729830881018526,\n \"acc_norm\": 0.8706467661691543,\n\ \ \"acc_norm_stderr\": 0.023729830881018526\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197769,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197769\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.536144578313253,\n\ \ \"acc_stderr\": 0.03882310850890594,\n \"acc_norm\": 0.536144578313253,\n\ \ \"acc_norm_stderr\": 0.03882310850890594\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\ \ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.4418604651162791,\n\ \ \"mc1_stderr\": 0.017384767478986214,\n \"mc2\": 0.6310264033909807,\n\ \ \"mc2_stderr\": 0.01502146266727205\n }\n}\n```" repo_url: https://huggingface.co/yeontaek/llama-2-70B-ensemble-v7 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_04T02_38_01.038212 path: - '/details_harness\|arc:challenge\|25_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hellaswag\|10_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-04T02:38:01.038212.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-04T02:38:01.038212.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_04T02_38_01.038212 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-04T02:38:01.038212.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-04T02:38:01.038212.parquet' - config_name: results data_files: - split: 2023_09_04T02_38_01.038212 path: - results_2023-09-04T02:38:01.038212.parquet - split: latest path: - results_2023-09-04T02:38:01.038212.parquet --- # Dataset Card for Evaluation run of yeontaek/llama-2-70B-ensemble-v7 ## Dataset Description - Homepage: - Repository: https://huggingface.co/yeontaek/llama-2-70B-ensemble-v7 - 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 [yeontaek/llama-2-70B-ensemble-v7](https://huggingface.co/yeontaek/llama-2-70B-ensemble-v7) 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_yeontaek__llama-2-70B-ensemble-v7", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-09-04T02:38:01.038212](https://huggingface.co/datasets/open-llm-leaderboard/details_yeontaek__llama-2-70B-ensemble-v7/blob/main/results_2023-09-04T02%3A38%3A01.038212.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": 0.6832397060915553, "acc_stderr": 0.031693477754770626, "acc_norm": 0.6869592578044069, "acc_norm_stderr": 0.03166529474407705, "mc1": 0.4418604651162791, "mc1_stderr": 0.017384767478986214, "mc2": 0.6310264033909807, "mc2_stderr": 0.01502146266727205 }, "harness\|arc:challenge\|25": { "acc": 0.6749146757679181, "acc_stderr": 0.01368814730972912, "acc_norm": 0.7030716723549488, "acc_norm_stderr": 0.013352025976725227 }, "harness\|hellaswag\|10": { "acc": 0.6818362875921131, "acc_stderr": 0.004648115322328777, "acc_norm": 0.873132842063334, "acc_norm_stderr": 0.0033214390244115494 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6370370370370371, "acc_stderr": 0.04153948404742398, "acc_norm": 0.6370370370370371, "acc_norm_stderr": 0.04153948404742398 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.7828947368421053, "acc_stderr": 0.03355045304882923, "acc_norm": 0.7828947368421053, "acc_norm_stderr": 0.03355045304882923 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7283018867924528, "acc_stderr": 0.027377706624670713, "acc_norm": 0.7283018867924528, "acc_norm_stderr": 0.027377706624670713 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.8194444444444444, "acc_stderr": 0.032166008088022675, "acc_norm": 0.8194444444444444, "acc_norm_stderr": 0.032166008088022675 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.630057803468208, "acc_stderr": 0.0368122963339432, "acc_norm": 0.630057803468208, "acc_norm_stderr": 0.0368122963339432 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.3627450980392157, "acc_stderr": 0.04784060704105653, "acc_norm": 0.3627450980392157, "acc_norm_stderr": 0.04784060704105653 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.6595744680851063, "acc_stderr": 0.030976692998534422, "acc_norm": 0.6595744680851063, "acc_norm_stderr": 0.030976692998534422 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.43859649122807015, "acc_stderr": 0.04668000738510455, "acc_norm": 0.43859649122807015, "acc_norm_stderr": 0.04668000738510455 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5862068965517241, "acc_stderr": 0.04104269211806232, "acc_norm": 0.5862068965517241, "acc_norm_stderr": 0.04104269211806232 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.48148148148148145, "acc_stderr": 0.025733641991838987, "acc_norm": 0.48148148148148145, "acc_norm_stderr": 0.025733641991838987 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.46825396825396826, "acc_stderr": 0.04463112720677172, "acc_norm": 0.46825396825396826, "acc_norm_stderr": 0.04463112720677172 }, "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": 0.8032258064516129, "acc_stderr": 0.022616409420742025, "acc_norm": 0.8032258064516129, "acc_norm_stderr": 0.022616409420742025 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5270935960591133, "acc_stderr": 0.03512819077876106, "acc_norm": 0.5270935960591133, "acc_norm_stderr": 0.03512819077876106 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.8545454545454545, "acc_stderr": 0.027530196355066573, "acc_norm": 0.8545454545454545, "acc_norm_stderr": 0.027530196355066573 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.8939393939393939, "acc_stderr": 0.021938047738853113, "acc_norm": 0.8939393939393939, "acc_norm_stderr": 0.021938047738853113 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.927461139896373, "acc_stderr": 0.018718998520678178, "acc_norm": 0.927461139896373, "acc_norm_stderr": 0.018718998520678178 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6948717948717948, "acc_stderr": 0.023346335293325887, "acc_norm": 0.6948717948717948, "acc_norm_stderr": 0.023346335293325887 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.028742040903948492, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.028742040903948492 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.7478991596638656, "acc_stderr": 0.028205545033277726, "acc_norm": 0.7478991596638656, "acc_norm_stderr": 0.028205545033277726 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.4503311258278146, "acc_stderr": 0.04062290018683775, "acc_norm": 0.4503311258278146, "acc_norm_stderr": 0.04062290018683775 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8880733944954129, "acc_stderr": 0.013517352714958792, "acc_norm": 0.8880733944954129, "acc_norm_stderr": 0.013517352714958792 }, "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": 0.8970588235294118, "acc_stderr": 0.02132833757080438, "acc_norm": 0.8970588235294118, "acc_norm_stderr": 0.02132833757080438 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8818565400843882, "acc_stderr": 0.021011052659878456, "acc_norm": 0.8818565400843882, "acc_norm_stderr": 0.021011052659878456 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.7623318385650224, "acc_stderr": 0.02856807946471428, "acc_norm": 0.7623318385650224, "acc_norm_stderr": 0.02856807946471428 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8015267175572519, "acc_stderr": 0.0349814938546247, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.0349814938546247 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8264462809917356, "acc_stderr": 0.03457272836917671, "acc_norm": 0.8264462809917356, "acc_norm_stderr": 0.03457272836917671 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8240740740740741, "acc_stderr": 0.036809181416738807, "acc_norm": 0.8240740740740741, "acc_norm_stderr": 0.036809181416738807 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.8098159509202454, "acc_stderr": 0.03083349114628123, "acc_norm": 0.8098159509202454, "acc_norm_stderr": 0.03083349114628123 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.48214285714285715, "acc_stderr": 0.047427623612430116, "acc_norm": 0.48214285714285715, "acc_norm_stderr": 0.047427623612430116 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7961165048543689, "acc_stderr": 0.0398913985953177, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.0398913985953177 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8846153846153846, "acc_stderr": 0.020930193185179333, "acc_norm": 0.8846153846153846, "acc_norm_stderr": 0.020930193185179333 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.66, "acc_stderr": 0.04760952285695237, "acc_norm": 0.66, "acc_norm_stderr": 0.04760952285695237 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8646232439335888, "acc_stderr": 0.012234384586856491, "acc_norm": 0.8646232439335888, "acc_norm_stderr": 0.012234384586856491 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7456647398843931, "acc_stderr": 0.023445826276545543, "acc_norm": 0.7456647398843931, "acc_norm_stderr": 0.023445826276545543 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.5910614525139665, "acc_stderr": 0.016442830654715548, "acc_norm": 0.5910614525139665, "acc_norm_stderr": 0.016442830654715548 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7091503267973857, "acc_stderr": 0.02600480036395213, "acc_norm": 0.7091503267973857, "acc_norm_stderr": 0.02600480036395213 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7717041800643086, 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0.8362573099415205, "acc_stderr": 0.028380919596145866, "acc_norm": 0.8362573099415205, "acc_norm_stderr": 0.028380919596145866 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.4418604651162791, "mc1_stderr": 0.017384767478986214, "mc2": 0.6310264033909807, "mc2_stderr": 0.01502146266727205 } } ``` ### 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]	[ -0.7223075032234192, -0.8052700757980347, 0.2947007417678833, 0.18630732595920563, -0.2202477902173996, -0.04643133282661438, 0.0004539684159681201, -0.2738085687160492, 0.5834232568740845, -0.03588654473423958, -0.5252608060836792, -0.7115071415901184, -0.4582761526107788, 0.23147112131118774, -0.06313502043485641, 0.8518819212913513, -0.17003177106380463, -0.12765567004680634, 0.1025138646364212, -0.05212777107954025, -0.26863476634025574, -0.3414183259010315, -0.43532586097717285, 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open-llm-leaderboard/details_TinyPixel__testmodel-3	open-llm-leaderboard	2023-10-28T10:06:27Z	322	0	[ "region:us" ]	null	2023-10-01T13:50:23Z	--- pretty_name: Evaluation run of TinyPixel/testmodel-3 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [TinyPixel/testmodel-3](https://huggingface.co/TinyPixel/testmodel-3) 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_TinyPixel__testmodel-3\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-28T10:06:15.149786](https://huggingface.co/datasets/open-llm-leaderboard/details_TinyPixel__testmodel-3/blob/main/results_2023-10-28T10-06-15.149786.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\": 0.0012583892617449664,\n\ \ \"em_stderr\": 0.00036305608931194434,\n \"f1\": 0.05639261744966453,\n\ \ \"f1_stderr\": 0.0013225481636967586,\n \"acc\": 0.4072839855598433,\n\ \ \"acc_stderr\": 0.009819060293288948\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0012583892617449664,\n \"em_stderr\": 0.00036305608931194434,\n\ \ \"f1\": 0.05639261744966453,\n \"f1_stderr\": 0.0013225481636967586\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0758150113722517,\n \ \ \"acc_stderr\": 0.0072912057231625926\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7387529597474349,\n \"acc_stderr\": 0.012346914863415303\n\ \ }\n}\n```" repo_url: https://huggingface.co/TinyPixel/testmodel-3 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_01T13_50_05.522780 path: - '/details_harness\|arc:challenge\|25_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-01T13-50-05.522780.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_28T10_06_15.149786 path: - '/details_harness\|drop\|3_2023-10-28T10-06-15.149786.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-28T10-06-15.149786.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_28T10_06_15.149786 path: - '/details_harness\|gsm8k\|5_2023-10-28T10-06-15.149786.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-28T10-06-15.149786.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hellaswag\|10_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-01T13-50-05.522780.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-01T13-50-05.522780.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_01T13_50_05.522780 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-01T13-50-05.522780.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-01T13-50-05.522780.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_28T10_06_15.149786 path: - '/details_harness\|winogrande\|5_2023-10-28T10-06-15.149786.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-28T10-06-15.149786.parquet' - config_name: results data_files: - split: 2023_10_01T13_50_05.522780 path: - results_2023-10-01T13-50-05.522780.parquet - split: 2023_10_28T10_06_15.149786 path: - results_2023-10-28T10-06-15.149786.parquet - split: latest path: - results_2023-10-28T10-06-15.149786.parquet --- # Dataset Card for Evaluation run of TinyPixel/testmodel-3 ## Dataset Description - Homepage: - Repository: https://huggingface.co/TinyPixel/testmodel-3 - 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 [TinyPixel/testmodel-3](https://huggingface.co/TinyPixel/testmodel-3) 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_TinyPixel__testmodel-3", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-28T10:06:15.149786](https://huggingface.co/datasets/open-llm-leaderboard/details_TinyPixel__testmodel-3/blob/main/results_2023-10-28T10-06-15.149786.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": 0.0012583892617449664, "em_stderr": 0.00036305608931194434, "f1": 0.05639261744966453, "f1_stderr": 0.0013225481636967586, "acc": 0.4072839855598433, "acc_stderr": 0.009819060293288948 }, "harness\|drop\|3": { "em": 0.0012583892617449664, "em_stderr": 0.00036305608931194434, "f1": 0.05639261744966453, "f1_stderr": 0.0013225481636967586 }, "harness\|gsm8k\|5": { "acc": 0.0758150113722517, "acc_stderr": 0.0072912057231625926 }, "harness\|winogrande\|5": { "acc": 0.7387529597474349, "acc_stderr": 0.012346914863415303 } } ``` ### 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]	[ -0.39963167905807495, -0.5828987956047058, 0.3180915117263794, 0.09135288000106812, -0.05515814572572708, -0.01340887974947691, -0.383737176656723, -0.19076822698116302, 0.22642764449119568, 0.42895424365997314, -0.7462292909622192, -0.8721059560775757, -0.6103373765945435, 0.11395938694477081, -0.11099041253328323, 1.0794936418533325, -0.20453780889511108, -0.1978723108768463, -0.009781700558960438, -0.2873224914073944, -0.36381763219833374, -0.2877959609031677, -0.5680097341537476, 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GEM/xwikis	GEM	2023-02-22T13:05:19Z	321	2	[ "task_categories:summarization", "annotations_creators:found", "language_creators:unknown", "multilinguality:unknown", "size_categories:unknown", "source_datasets:original", "language:de", "language:en", "language:fr", "language:cs", "license:cc-by-sa-4.0", "arxiv:2202.09583", "region:us" ]	[ "summarization" ]	2022-03-14T15:31:48Z	--- annotations_creators: - found language_creators: - unknown language: - de - en - fr - cs license: - cc-by-sa-4.0 multilinguality: - unknown size_categories: - unknown source_datasets: - original task_categories: - summarization task_ids: [] pretty_name: xwikis --- # Dataset Card for GEM/xwikis ## Dataset Description - Homepage: https://github.com/lauhaide/clads - Repository: [Needs More Information] - Paper: https://arxiv.org/abs/2202.09583 - Leaderboard: N/A - Point of Contact: Laura Perez-Beltrachini ### Link to Main Data Card You can find the main data card on the [GEM Website](https://gem-benchmark.com/data_cards/xwikis). ### Dataset Summary The XWikis Corpus provides datasets with different language pairs and directions for cross-lingual and multi-lingual abstractive document summarisation. You can load the dataset via: ``` import datasets data = datasets.load_dataset('GEM/xwikis') ``` The data loader can be found [here](https://huggingface.co/datasets/GEM/xwikis). #### website [Github](https://github.com/lauhaide/clads) #### paper https://arxiv.org/abs/2202.09583 #### authors Laura Perez-Beltrachini (University of Edinburgh) ## Dataset Overview ### Where to find the Data and its Documentation #### Webpage <!-- info: What is the webpage for the dataset (if it exists)? --> <!-- scope: telescope --> [Github](https://github.com/lauhaide/clads) #### Paper <!-- info: What is the link to the paper describing the dataset (open access preferred)? --> <!-- scope: telescope --> https://arxiv.org/abs/2202.09583 #### BibTex <!-- info: Provide the BibTex-formatted reference for the dataset. Please use the correct published version (ACL anthology, etc.) instead of google scholar created Bibtex. --> <!-- scope: microscope --> ``` @InProceedings{clads-emnlp, author = "Laura Perez-Beltrachini and Mirella Lapata", title = "Models and Datasets for Cross-Lingual Summarisation", booktitle = "Proceedings of The 2021 Conference on Empirical Methods in Natural Language Processing ", year = "2021", address = "Punta Cana, Dominican Republic", } ``` #### Contact Name <!-- quick --> <!-- info: If known, provide the name of at least one person the reader can contact for questions about the dataset. --> <!-- scope: periscope --> Laura Perez-Beltrachini #### Contact Email <!-- info: If known, provide the email of at least one person the reader can contact for questions about the dataset. --> <!-- scope: periscope --> [email protected] #### Has a Leaderboard? <!-- info: Does the dataset have an active leaderboard? --> <!-- scope: telescope --> no ### Languages and Intended Use #### Multilingual? <!-- quick --> <!-- info: Is the dataset multilingual? --> <!-- scope: telescope --> yes #### Covered Languages <!-- quick --> <!-- info: What languages/dialects are covered in the dataset? --> <!-- scope: telescope --> `German`, `English`, `French`, `Czech`, `Chinese` #### License <!-- quick --> <!-- info: What is the license of the dataset? --> <!-- scope: telescope --> cc-by-sa-4.0: Creative Commons Attribution Share Alike 4.0 International #### Intended Use <!-- info: What is the intended use of the dataset? --> <!-- scope: microscope --> Cross-lingual and Multi-lingual single long input document abstractive summarisation. #### Primary Task <!-- info: What primary task does the dataset support? --> <!-- scope: telescope --> Summarization #### Communicative Goal <!-- quick --> <!-- info: Provide a short description of the communicative goal of a model trained for this task on this dataset. --> <!-- scope: periscope --> Entity descriptive summarisation, that is, generate a summary that conveys the most salient facts of a document related to a given entity. ### Credit #### Curation Organization Type(s) <!-- info: In what kind of organization did the dataset curation happen? --> <!-- scope: telescope --> `academic` #### Dataset Creators <!-- info: Who created the original dataset? List the people involved in collecting the dataset and their affiliation(s). --> <!-- scope: microscope --> Laura Perez-Beltrachini (University of Edinburgh) #### Who added the Dataset to GEM? <!-- info: Who contributed to the data card and adding the dataset to GEM? List the people+affiliations involved in creating this data card and who helped integrate this dataset into GEM. --> <!-- scope: microscope --> Laura Perez-Beltrachini (University of Edinburgh) and Ronald Cardenas (University of Edinburgh) ### Dataset Structure #### Data Splits <!-- info: Describe and name the splits in the dataset if there are more than one. --> <!-- scope: periscope --> For each language pair and direction there exists a train/valid/test split. The test split is a sample of size 7k from the intersection of titles existing in the four languages (cs,fr,en,de). Train/valid are randomly split. ## Dataset in GEM ### Rationale for Inclusion in GEM #### Similar Datasets <!-- info: Do other datasets for the high level task exist? --> <!-- scope: telescope --> no ### GEM-Specific Curation #### Modificatied for GEM? <!-- info: Has the GEM version of the dataset been modified in any way (data, processing, splits) from the original curated data? --> <!-- scope: telescope --> no #### Additional Splits? <!-- info: Does GEM provide additional splits to the dataset? --> <!-- scope: telescope --> no ### Getting Started with the Task ## Previous Results ### Previous Results #### Measured Model Abilities <!-- info: What aspect of model ability can be measured with this dataset? --> <!-- scope: telescope --> - identification of entity salient information - translation - multi-linguality - cross-lingual transfer, zero-shot, few-shot #### Metrics <!-- info: What metrics are typically used for this task? --> <!-- scope: periscope --> `ROUGE` #### Previous results available? <!-- info: Are previous results available? --> <!-- scope: telescope --> yes #### Other Evaluation Approaches <!-- info: What evaluation approaches have others used? --> <!-- scope: periscope --> ROUGE-1/2/L ## Dataset Curation ### Original Curation #### Sourced from Different Sources <!-- info: Is the dataset aggregated from different data sources? --> <!-- scope: telescope --> no ### Language Data #### How was Language Data Obtained? <!-- info: How was the language data obtained? --> <!-- scope: telescope --> `Found` #### Where was it found? <!-- info: If found, where from? --> <!-- scope: telescope --> `Single website` #### Data Validation <!-- info: Was the text validated by a different worker or a data curator? --> <!-- scope: telescope --> other #### Was Data Filtered? <!-- info: Were text instances selected or filtered? --> <!-- scope: telescope --> not filtered ### Structured Annotations #### Additional Annotations? <!-- quick --> <!-- info: Does the dataset have additional annotations for each instance? --> <!-- scope: telescope --> found #### Annotation Service? <!-- info: Was an annotation service used? --> <!-- scope: telescope --> no #### Annotation Values <!-- info: Purpose and values for each annotation --> <!-- scope: microscope --> The input documents have section structure information. #### Any Quality Control? <!-- info: Quality control measures? --> <!-- scope: telescope --> validated by another rater #### Quality Control Details <!-- info: Describe the quality control measures that were taken. --> <!-- scope: microscope --> Bilingual annotators assessed the content overlap of source document and target summaries. ### Consent #### Any Consent Policy? <!-- info: Was there a consent policy involved when gathering the data? --> <!-- scope: telescope --> no ### Private Identifying Information (PII) #### Contains PII? <!-- quick --> <!-- info: Does the source language data likely contain Personal Identifying Information about the data creators or subjects? --> <!-- scope: telescope --> no PII ### Maintenance #### Any Maintenance Plan? <!-- info: Does the original dataset have a maintenance plan? --> <!-- scope: telescope --> no ## Broader Social Context ### Previous Work on the Social Impact of the Dataset #### Usage of Models based on the Data <!-- info: Are you aware of cases where models trained on the task featured in this dataset ore related tasks have been used in automated systems? --> <!-- scope: telescope --> no ### Impact on Under-Served Communities #### Addresses needs of underserved Communities? <!-- info: Does this dataset address the needs of communities that are traditionally underserved in language technology, and particularly language generation technology? Communities may be underserved for exemple because their language, language variety, or social or geographical context is underepresented in NLP and NLG resources (datasets and models). --> <!-- scope: telescope --> no ### Discussion of Biases #### Any Documented Social Biases? <!-- info: Are there documented social biases in the dataset? Biases in this context are variations in the ways members of different social categories are represented that can have harmful downstream consequences for members of the more disadvantaged group. --> <!-- scope: telescope --> no ## Considerations for Using the Data ### PII Risks and Liability ### Licenses #### Copyright Restrictions on the Dataset <!-- info: Based on your answers in the Intended Use part of the Data Overview Section, which of the following best describe the copyright and licensing status of the dataset? --> <!-- scope: periscope --> `public domain` #### Copyright Restrictions on the Language Data <!-- info: Based on your answers in the Language part of the Data Curation Section, which of the following best describe the copyright and licensing status of the underlying language data? --> <!-- scope: periscope --> `public domain` ### Known Technical Limitations	[ -0.41091683506965637, -0.6558771133422852, 0.2997063398361206, 0.07193291187286377, -0.0922740027308464, 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MickyMike/cvefixes_bigvul	MickyMike	2022-10-12T10:31:00Z	321	4	[ "license:mit", "region:us" ]	null	2022-10-12T06:01:18Z	--- license: mit ---	[ -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, 0.8275899291038513, 0.3960294723510742, 0.503056526184082, 1.7515552043914795, -0.08836923539638519, -0.22754432260990143, -0.458920419216156, 0.4223068356513977, -0.3327738642692566, -0.4213368892669678, -0.26241645216941833, -0.0744934156537056, 0.32380396127700806, 0.7903715372085571, -0.3810413181781769, 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NumbersStation/NSText2SQL	NumbersStation	2023-07-11T05:26:13Z	321	32	[ "task_categories:text2text-generation", "language_creators:crowdsourced", "language_creators:expert-generated", "multilinguality:multilingual", "size_categories:100K<n<1M", "language:en", "license:other", "text-to-sql", "region:us" ]	[ "text2text-generation" ]	2023-07-11T05:26:12Z	--- language: - en task_categories: - text2text-generation license: - other language_creators: - crowdsourced - expert-generated multilinguality: - multilingual tags: - text-to-sql size_categories: - 100K<n<1M pretty_name: NSText2SQL --- # Dataset Summary NSText2SQL dataset used to train [NSQL](https://huggingface.co/NumbersStation/nsql-6B) models. The data is curated from more than 20 different public sources across the web with permissable licenses (listed below). All of these datasets come with existing text-to-SQL pairs. We apply various data cleaning and pre-processing techniques including table schema augmentation, SQL cleaning, and instruction generation using existing LLMs. The resulting dataset contains around 290,000 samples of text-to-SQL pairs. For more information and code, please see [this repository](https://github.com/NumbersStationAI/NSQL). # How to use it ```python from datasets import load_dataset dataset = load_dataset("NumbersStation/NSText2SQL") ``` # Dataset Structure ## Data Instances Each data instance in this dataset represents a text-to-SQL entry where the instruction has been formatted with the table schema and question. The output is the SQL in SQlite dialect. ## Data Fields - `instruction` (string): the instruction to generate SQL. - `output` (string): the ground truth SQL. - `source` (string): the source dataset of the sample. # Languages The language of the data is primarily English. # Source Data and Licensing Information NSText2SQL is sourced from repositories with various licenses. Any use of all or part of the data gathered in NSText2SQL must abide by the terms of the original licenses, including attribution clauses when relevant. We thank all authors who provided these datasets. We provide provenance information for each dataset below. \| Datasets \| License \| Link \| \| ---------------------- \| ------------ \| -------------------------------------------------------------------------------------------------------------------- \| \| academic \| Not Found \| [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) \| \| advising \| CC-BY-4.0 \| [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) \| \| atis \| Not Found \| [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) \| \| restaurants \| Not Found \| [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) \| \| scholar \| Not Found \| [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) \| \| imdb \| Not Found \| [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) \| \| yelp \| Not Found \| [https://github.com/jkkummerfeld/text2sql-data](https://github.com/jkkummerfeld/text2sql-data) \| \| criteria2sql \| Apache-2.0 \| [https://github.com/xiaojingyu92/Criteria2SQL](https://github.com/xiaojingyu92/Criteria2SQL) \| \| css \| CC-BY-4.0 \| [https://huggingface.co/datasets/zhanghanchong/css](https://huggingface.co/datasets/zhanghanchong/css) \| \| eICU \| CC-BY-4.0 \| [https://github.com/glee4810/EHRSQL](https://github.com/glee4810/EHRSQL) \| \| mimic_iii \| CC-BY-4.0 \| [https://github.com/glee4810/EHRSQL](https://github.com/glee4810/EHRSQL) \| \| geonucleardata \| CC-BY-SA-4.0 \| [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) \| \| greatermanchestercrime \| CC-BY-SA-4.0 \| [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) \| \| studentmathscore \| CC-BY-SA-4.0 \| [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) \| \| thehistoryofbaseball \| CC-BY-SA-4.0 \| [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) \| \| uswildfires \| CC-BY-SA-4.0 \| [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) \| \| whatcdhiphop \| CC-BY-SA-4.0 \| [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) \| \| worldsoccerdatabase \| CC-BY-SA-4.0 \| [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) \| \| pesticide \| CC-BY-SA-4.0 \| [https://github.com/chiahsuan156/KaggleDBQA](https://github.com/chiahsuan156/KaggleDBQA) \| \| mimicsql_data \| MIT \| [https://github.com/wangpinggl/TREQS](https://github.com/wangpinggl/TREQS) \| \| nvbench \| MIT \| [https://github.com/TsinghuaDatabaseGroup/nvBench](https://github.com/TsinghuaDatabaseGroup/nvBench) \| \| sede \| Apache-2.0 \| [https://github.com/hirupert/sede](https://github.com/hirupert/sede) \| \| spider \| CC-BY-SA-4.0 \| [https://huggingface.co/datasets/spider](https://huggingface.co/datasets/spider) \| \| sql_create_context \| CC-BY-4.0 \| [https://huggingface.co/datasets/b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context) \| \| squall \| CC-BY-SA-4.0 \| [https://github.com/tzshi/squall](https://github.com/tzshi/squall) \| \| wikisql \| BSD 3-Clause \| [https://github.com/salesforce/WikiSQL](https://github.com/salesforce/WikiSQL) \| # Citing this work If you use this data in your work, please cite our work _and_ the appropriate original sources: To cite NSText2SQL, please use: ```TeX @software{numbersstation2023NSText2SQL, author = {Numbers Station Labs}, title = {NSText2SQL: An Open Source Text-to-SQL Dataset for Foundation Model Training}, month = {July}, year = {2023}, url = {https://github.com/NumbersStationAI/NSQL}, } ``` To cite dataset used in this work, please use: \| Datasets \| Cite \| \| ---------------------- \| ---------------------------------------------------------------------------------------- \| \| academic \| `\cite{data-advising,data-academic}` \| \| advising \| `\cite{data-advising}` \| \| atis \| `\cite{data-advising,data-atis-original,data-atis-geography-scholar}` \| \| restaurants \| `\cite{data-advising,data-restaurants-logic,data-restaurants-original,data-restaurants}` \| \| scholar \| `\cite{data-advising,data-atis-geography-scholar}` \| \| imdb \| `\cite{data-advising,data-imdb-yelp}` \| \| yelp \| `\cite{data-advising,data-imdb-yelp}` \| \| criteria2sql \| `\cite{Criteria-to-SQL}` \| \| css \| `\cite{zhang2023css}` \| \| eICU \| `\cite{lee2022ehrsql}` \| \| mimic_iii \| `\cite{lee2022ehrsql}` \| \| geonucleardata \| `\cite{lee-2021-kaggle-dbqa}` \| \| greatermanchestercrime \| `\cite{lee-2021-kaggle-dbqa}` \| \| studentmathscore \| `\cite{lee-2021-kaggle-dbqa}` \| \| thehistoryofbaseball \| `\cite{lee-2021-kaggle-dbqa}` \| \| uswildfires \| `\cite{lee-2021-kaggle-dbqa}` \| \| whatcdhiphop \| `\cite{lee-2021-kaggle-dbqa}` \| \| worldsoccerdatabase \| `\cite{lee-2021-kaggle-dbqa}` \| \| pesticide \| `\cite{lee-2021-kaggle-dbqa}` \| \| mimicsql_data \| `\cite{wang2020text}` \| \| nvbench \| `\cite{nvBench_SIGMOD21}` \| \| sede \| `\cite{hazoom2021text}` \| \| spider \| `\cite{data-spider}` \| \| sql_create_context \| Not Found \| \| squall \| `\cite{squall}` \| \| wikisql \| `\cite{data-wikisql}` \| ```TeX @InProceedings{data-advising, dataset = {Advising}, author = {Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, and Dragomir Radev}, title = {Improving Text-to-SQL Evaluation Methodology}, booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, month = {July}, year = {2018}, location = {Melbourne, Victoria, Australia}, pages = {351--360}, url = {http://aclweb.org/anthology/P18-1033}, } @InProceedings{data-imdb-yelp, dataset = {IMDB and Yelp}, author = {Navid Yaghmazadeh, Yuepeng Wang, Isil Dillig, and Thomas Dillig}, title = {SQLizer: Query Synthesis from Natural Language}, booktitle = {International Conference on Object-Oriented Programming, Systems, Languages, and Applications, ACM}, month = {October}, year = {2017}, pages = {63:1--63:26}, url = {http://doi.org/10.1145/3133887}, } @article{data-academic, dataset = {Academic}, author = {Fei Li and H. V. Jagadish}, title = {Constructing an Interactive Natural Language Interface for Relational Databases}, journal = {Proceedings of the VLDB Endowment}, volume = {8}, number = {1}, month = {September}, year = {2014}, pages = {73--84}, url = {http://dx.doi.org/10.14778/2735461.2735468}, } @InProceedings{data-atis-geography-scholar, dataset = {Scholar, and Updated ATIS and Geography}, author = {Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, and Luke Zettlemoyer}, title = {Learning a Neural Semantic Parser from User Feedback}, booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, year = {2017}, pages = {963--973}, location = {Vancouver, Canada}, url = {http://www.aclweb.org/anthology/P17-1089}, } @article{data-atis-original, dataset = {ATIS, original}, author = {Deborah A. Dahl, Madeleine Bates, Michael Brown, William Fisher, Kate Hunicke-Smith, David Pallett, Christine Pao, Alexander Rudnicky, and Elizabeth Shriber}, title = {{Expanding the scope of the ATIS task: The ATIS-3 corpus}}, journal = {Proceedings of the workshop on Human Language Technology}, year = {1994}, pages = {43--48}, url = {http://dl.acm.org/citation.cfm?id=1075823}, } @inproceedings{data-restaurants-logic, author = {Lappoon R. Tang and Raymond J. Mooney}, title = {Automated Construction of Database Interfaces: Intergrating Statistical and Relational Learning for Semantic Parsing}, booktitle = {2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora}, year = {2000}, pages = {133--141}, location = {Hong Kong, China}, url = {http://www.aclweb.org/anthology/W00-1317}, } @inproceedings{data-restaurants-original, author = {Ana-Maria Popescu, Oren Etzioni, and Henry Kautz}, title = {Towards a Theory of Natural Language Interfaces to Databases}, booktitle = {Proceedings of the 8th International Conference on Intelligent User Interfaces}, year = {2003}, location = {Miami, Florida, USA}, pages = {149--157}, url = {http://doi.acm.org/10.1145/604045.604070}, } @inproceedings{data-restaurants, author = {Alessandra Giordani and Alessandro Moschitti}, title = {Automatic Generation and Reranking of SQL-derived Answers to NL Questions}, booktitle = {Proceedings of the Second International Conference on Trustworthy Eternal Systems via Evolving Software, Data and Knowledge}, year = {2012}, location = {Montpellier, France}, pages = {59--76}, url = {https://doi.org/10.1007/978-3-642-45260-4_5}, } @InProceedings{data-spider, author = {Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, and Dragomir Radev}, title = {Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task}, booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing}, year = {2018}, location = {Brussels, Belgium}, pages = {3911--3921}, url = {http://aclweb.org/anthology/D18-1425}, } @article{data-wikisql, author = {Victor Zhong, Caiming Xiong, and Richard Socher}, title = {Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning}, year = {2017}, journal = {CoRR}, volume = {abs/1709.00103}, } @InProceedings{Criteria-to-SQL, author = {Yu, Xiaojing and Chen, Tianlong and Yu, Zhengjie and Li, Huiyu and Yang, Yang and Jiang, Xiaoqian and Jiang, Anxiao}, title = {Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing}, booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference}, month = {May}, year = {2020}, address = {Marseille, France}, publisher = {European Language Resources Association}, pages = {5831--5839}, } @misc{zhang2023css, title = {CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset}, author = {Hanchong Zhang and Jieyu Li and Lu Chen and Ruisheng Cao and Yunyan Zhang and Yu Huang and Yefeng Zheng and Kai Yu}, year = {2023}, } @article{lee2022ehrsql, title = {EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records}, author = {Lee, Gyubok and Hwang, Hyeonji and Bae, Seongsu and Kwon, Yeonsu and Shin, Woncheol and Yang, Seongjun and Seo, Minjoon and Kim, Jong-Yeup and Choi, Edward}, journal = {Advances in Neural Information Processing Systems}, volume = {35}, pages = {15589--15601}, year = {2022}, } @inproceedings{lee-2021-kaggle-dbqa, title = {KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers}, author = {Lee, Chia-Hsuan and Polozov, Oleksandr and Richardson, Matthew}, booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)}, pages = {2261--2273}, year = {2021}, } @inproceedings{squall, title = {On the Potential of Lexico-logical Alignments for Semantic Parsing to {SQL} Queries}, author = {Tianze Shi and Chen Zhao and Jordan Boyd-Graber and Hal {Daum\'{e} III} and Lillian Lee}, booktitle = {Findings of EMNLP}, year = {2020}, } @article{hazoom2021text, title = {Text-to-SQL in the wild: a naturally-occurring dataset based on Stack exchange data}, author = {Hazoom, Moshe and Malik, Vibhor and Bogin, Ben}, journal = {arXiv preprint arXiv:2106.05006}, year = {2021}, } @inproceedings{wang2020text, title = {Text-to-SQL Generation for Question Answering on Electronic Medical Records}, author = {Wang, Ping and Shi, Tian and Reddy, Chandan K}, booktitle = {Proceedings of The Web Conference 2020}, pages = {350--361}, year = {2020}, } @inproceedings{nvBench_SIGMOD21, title = {Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks}, author = {Yuyu Luo and Nan Tang and Guoliang Li and Chengliang Chai and Wenbo Li and Xuedi Qin}, booktitle = {Proceedings of the 2021 International Conference on Management of Data, {SIGMOD} Conference 2021, June 20–25, 2021, Virtual Event, China}, publisher = {ACM}, year = {2021}, } ```	[ -0.266509085893631, -0.38585081696510315, 0.4158744812011719, 0.17489682137966156, -0.1442471444606781, -0.17472489178180695, -0.07286791503429413, -0.1969878226518631, 0.4675143361091614, 0.437968373298645, -0.504045307636261, -0.8047346472740173, 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PKU-Alignment/processed-hh-rlhf	PKU-Alignment	2023-11-24T13:45:12Z	321	5	[ "task_categories:conversational", "size_categories:100K<n<1M", "language:en", "license:mit", "rlhf", "harmless", "helpful", "human-preference", "region:us" ]	[ "conversational" ]	2023-07-15T09:57:18Z	--- license: mit task_categories: - conversational language: - en tags: - rlhf - harmless - helpful - human-preference pretty_name: hh-rlhf size_categories: - 100K<n<1M --- # Dataset Card for Processed-Hh-RLHF This is a dataset that processes [hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf) into an easy-to-use conversational and human-preference form.	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open-llm-leaderboard/details_garage-bAInd__Platypus2-70B-instruct	open-llm-leaderboard	2023-12-01T14:53:48Z	321	4	[ "region:us" ]	null	2023-08-18T00:07:51Z	--- pretty_name: Evaluation run of garage-bAInd/Platypus2-70B-instruct dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [garage-bAInd/Platypus2-70B-instruct](https://huggingface.co/garage-bAInd/Platypus2-70B-instruct)\ \ 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_garage-bAInd__Platypus2-70B-instruct_public\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-11-09T00:36:31.182871](https://huggingface.co/datasets/open-llm-leaderboard/details_garage-bAInd__Platypus2-70B-instruct_public/blob/main/results_2023-11-09T00-36-31.182871.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\": 0.4080327181208054,\n\ \ \"em_stderr\": 0.0050331050783076585,\n \"f1\": 0.5241086409395995,\n\ \ \"f1_stderr\": 0.004559323839567607,\n \"acc\": 0.616380530322115,\n\ \ \"acc_stderr\": 0.012075906712216984\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.4080327181208054,\n \"em_stderr\": 0.0050331050783076585,\n\ \ \"f1\": 0.5241086409395995,\n \"f1_stderr\": 0.004559323839567607\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.40561031084154664,\n \ \ \"acc_stderr\": 0.013524848894462104\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8271507498026835,\n \"acc_stderr\": 0.010626964529971862\n\ \ }\n}\n```" repo_url: https://huggingface.co/garage-bAInd/Platypus2-70B-instruct 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_09T00_36_31.182871 path: - '/details_harness\|drop\|3_2023-11-09T00-36-31.182871.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-11-09T00-36-31.182871.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_11_09T00_36_31.182871 path: - '/details_harness\|gsm8k\|5_2023-11-09T00-36-31.182871.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-11-09T00-36-31.182871.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_11_09T00_36_31.182871 path: - '/details_harness\|winogrande\|5_2023-11-09T00-36-31.182871.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-11-09T00-36-31.182871.parquet' - config_name: results data_files: - split: 2023_11_09T00_36_31.182871 path: - results_2023-11-09T00-36-31.182871.parquet - split: latest path: - results_2023-11-09T00-36-31.182871.parquet --- # Dataset Card for Evaluation run of garage-bAInd/Platypus2-70B-instruct ## Dataset Description - Homepage: - Repository: https://huggingface.co/garage-bAInd/Platypus2-70B-instruct - 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 [garage-bAInd/Platypus2-70B-instruct](https://huggingface.co/garage-bAInd/Platypus2-70B-instruct) 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_garage-bAInd__Platypus2-70B-instruct_public", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-11-09T00:36:31.182871](https://huggingface.co/datasets/open-llm-leaderboard/details_garage-bAInd__Platypus2-70B-instruct_public/blob/main/results_2023-11-09T00-36-31.182871.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": 0.4080327181208054, "em_stderr": 0.0050331050783076585, "f1": 0.5241086409395995, "f1_stderr": 0.004559323839567607, "acc": 0.616380530322115, "acc_stderr": 0.012075906712216984 }, "harness\|drop\|3": { "em": 0.4080327181208054, "em_stderr": 0.0050331050783076585, "f1": 0.5241086409395995, "f1_stderr": 0.004559323839567607 }, "harness\|gsm8k\|5": { "acc": 0.40561031084154664, "acc_stderr": 0.013524848894462104 }, "harness\|winogrande\|5": { "acc": 0.8271507498026835, "acc_stderr": 0.010626964529971862 } } ``` ### 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]	[ -0.3843683898448944, -0.6150782704353333, 0.21711522340774536, 0.23617303371429443, -0.18977145850658417, 0.19746334850788116, -0.43312108516693115, -0.0671614408493042, 0.3271167576313019, 0.5091031193733215, -0.719178318977356, -0.9470520615577698, -0.6097884178161621, 0.12093370407819748, -0.11032555252313614, 1.067163348197937, -0.3085710406303406, -0.18097367882728577, -0.025578463450074196, -0.2300075888633728, -0.4199300706386566, -0.45004990696907043, -0.4467274248600006, 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open-llm-leaderboard/details_bertin-project__bertin-gpt-j-6B-alpaca	open-llm-leaderboard	2023-09-22T17:02:18Z	321	0	[ "region:us" ]	null	2023-08-18T18:58:24Z	--- pretty_name: Evaluation run of bertin-project/bertin-gpt-j-6B-alpaca dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [bertin-project/bertin-gpt-j-6B-alpaca](https://huggingface.co/bertin-project/bertin-gpt-j-6B-alpaca)\ \ 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_bertin-project__bertin-gpt-j-6B-alpaca\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-22T17:02:02.199354](https://huggingface.co/datasets/open-llm-leaderboard/details_bertin-project__bertin-gpt-j-6B-alpaca/blob/main/results_2023-09-22T17-02-02.199354.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\": 0.016568791946308725,\n\ \ \"em_stderr\": 0.0013072452323527502,\n \"f1\": 0.07589660234899354,\n\ \ \"f1_stderr\": 0.0018842940437008274,\n \"acc\": 0.27900552486187846,\n\ \ \"acc_stderr\": 0.006978792039554494\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.016568791946308725,\n \"em_stderr\": 0.0013072452323527502,\n\ \ \"f1\": 0.07589660234899354,\n \"f1_stderr\": 0.0018842940437008274\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n },\n \"harness\|winogrande\|5\": {\n \"acc\": 0.5580110497237569,\n\ \ \"acc_stderr\": 0.013957584079108989\n }\n}\n```" repo_url: https://huggingface.co/bertin-project/bertin-gpt-j-6B-alpaca 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_17T15_41_33.782681 path: - '/details_harness\|arc:challenge\|25_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-17T15:41:33.782681.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_22T17_02_02.199354 path: - '/details_harness\|drop\|3_2023-09-22T17-02-02.199354.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-22T17-02-02.199354.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_22T17_02_02.199354 path: - '/details_harness\|gsm8k\|5_2023-09-22T17-02-02.199354.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-22T17-02-02.199354.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hellaswag\|10_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T15:41:33.782681.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T15:41:33.782681.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_17T15_41_33.782681 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-17T15:41:33.782681.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-17T15:41:33.782681.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_22T17_02_02.199354 path: - '/details_harness\|winogrande\|5_2023-09-22T17-02-02.199354.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-22T17-02-02.199354.parquet' - config_name: results data_files: - split: 2023_08_17T15_41_33.782681 path: - results_2023-08-17T15:41:33.782681.parquet - split: 2023_09_22T17_02_02.199354 path: - results_2023-09-22T17-02-02.199354.parquet - split: latest path: - results_2023-09-22T17-02-02.199354.parquet --- # Dataset Card for Evaluation run of bertin-project/bertin-gpt-j-6B-alpaca ## Dataset Description - Homepage: - Repository: https://huggingface.co/bertin-project/bertin-gpt-j-6B-alpaca - 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 [bertin-project/bertin-gpt-j-6B-alpaca](https://huggingface.co/bertin-project/bertin-gpt-j-6B-alpaca) 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_bertin-project__bertin-gpt-j-6B-alpaca", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-22T17:02:02.199354](https://huggingface.co/datasets/open-llm-leaderboard/details_bertin-project__bertin-gpt-j-6B-alpaca/blob/main/results_2023-09-22T17-02-02.199354.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": 0.016568791946308725, "em_stderr": 0.0013072452323527502, "f1": 0.07589660234899354, "f1_stderr": 0.0018842940437008274, "acc": 0.27900552486187846, "acc_stderr": 0.006978792039554494 }, "harness\|drop\|3": { "em": 0.016568791946308725, "em_stderr": 0.0013072452323527502, "f1": 0.07589660234899354, "f1_stderr": 0.0018842940437008274 }, "harness\|gsm8k\|5": { "acc": 0.0, "acc_stderr": 0.0 }, "harness\|winogrande\|5": { "acc": 0.5580110497237569, "acc_stderr": 0.013957584079108989 } } ``` ### 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]	[ -0.5014995336532593, -0.6819494366645813, 0.24080613255500793, 0.19597262144088745, -0.21640610694885254, 0.009423413313925266, -0.35855939984321594, -0.20633234083652496, 0.44324761629104614, 0.46382245421409607, -0.6794466376304626, -0.9010498523712158, -0.7394710183143616, 0.0669698417186737, -0.21119096875190735, 1.2675552368164062, -0.262792706489563, -0.23410554230213165, 0.16451062262058258, -0.2646689713001251, -0.2852735221385956, -0.41830122470855713, -0.5441553592681885, 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open-llm-leaderboard/details_StudentLLM__Alpagasus-2-13B-QLoRA-pipeline	open-llm-leaderboard	2023-09-16T19:25:18Z	321	0	[ "region:us" ]	null	2023-08-29T20:20:13Z	--- pretty_name: Evaluation run of StudentLLM/Alpagasus-2-13B-QLoRA-pipeline dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [StudentLLM/Alpagasus-2-13B-QLoRA-pipeline](https://huggingface.co/StudentLLM/Alpagasus-2-13B-QLoRA-pipeline)\ \ 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_StudentLLM__Alpagasus-2-13B-QLoRA-pipeline\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-16T19:25:05.915541](https://huggingface.co/datasets/open-llm-leaderboard/details_StudentLLM__Alpagasus-2-13B-QLoRA-pipeline/blob/main/results_2023-09-16T19-25-05.915541.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\": 0.0017827181208053692,\n\ \ \"em_stderr\": 0.0004320097346038763,\n \"f1\": 0.06066065436241617,\n\ \ \"f1_stderr\": 0.0013657607384917807,\n \"acc\": 0.42588409458506093,\n\ \ \"acc_stderr\": 0.009997978043392182\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0017827181208053692,\n \"em_stderr\": 0.0004320097346038763,\n\ \ \"f1\": 0.06066065436241617,\n \"f1_stderr\": 0.0013657607384917807\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.09249431387414708,\n \ \ \"acc_stderr\": 0.007980396874560178\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7592738752959748,\n \"acc_stderr\": 0.012015559212224185\n\ \ }\n}\n```" repo_url: https://huggingface.co/StudentLLM/Alpagasus-2-13B-QLoRA-pipeline 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_29T20_19_48.806105 path: - '/details_harness\|arc:challenge\|25_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-29T20:19:48.806105.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_16T19_25_05.915541 path: - '/details_harness\|drop\|3_2023-09-16T19-25-05.915541.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-16T19-25-05.915541.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_16T19_25_05.915541 path: - '/details_harness\|gsm8k\|5_2023-09-16T19-25-05.915541.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-16T19-25-05.915541.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hellaswag\|10_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-29T20:19:48.806105.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-29T20:19:48.806105.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_29T20_19_48.806105 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-29T20:19:48.806105.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-29T20:19:48.806105.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_16T19_25_05.915541 path: - '/details_harness\|winogrande\|5_2023-09-16T19-25-05.915541.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-16T19-25-05.915541.parquet' - config_name: results data_files: - split: 2023_08_29T20_19_48.806105 path: - results_2023-08-29T20:19:48.806105.parquet - split: 2023_09_16T19_25_05.915541 path: - results_2023-09-16T19-25-05.915541.parquet - split: latest path: - results_2023-09-16T19-25-05.915541.parquet --- # Dataset Card for Evaluation run of StudentLLM/Alpagasus-2-13B-QLoRA-pipeline ## Dataset Description - Homepage: - Repository: https://huggingface.co/StudentLLM/Alpagasus-2-13B-QLoRA-pipeline - 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 [StudentLLM/Alpagasus-2-13B-QLoRA-pipeline](https://huggingface.co/StudentLLM/Alpagasus-2-13B-QLoRA-pipeline) 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_StudentLLM__Alpagasus-2-13B-QLoRA-pipeline", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-16T19:25:05.915541](https://huggingface.co/datasets/open-llm-leaderboard/details_StudentLLM__Alpagasus-2-13B-QLoRA-pipeline/blob/main/results_2023-09-16T19-25-05.915541.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": 0.0017827181208053692, "em_stderr": 0.0004320097346038763, "f1": 0.06066065436241617, "f1_stderr": 0.0013657607384917807, "acc": 0.42588409458506093, "acc_stderr": 0.009997978043392182 }, "harness\|drop\|3": { "em": 0.0017827181208053692, "em_stderr": 0.0004320097346038763, "f1": 0.06066065436241617, "f1_stderr": 0.0013657607384917807 }, "harness\|gsm8k\|5": { "acc": 0.09249431387414708, "acc_stderr": 0.007980396874560178 }, "harness\|winogrande\|5": { "acc": 0.7592738752959748, "acc_stderr": 0.012015559212224185 } } ``` ### 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]	[ -0.3368985950946808, -0.5802723169326782, 0.24164433777332306, 0.1351468563079834, -0.1960355043411255, 0.14582176506519318, -0.2813938558101654, -0.12519821524620056, 0.414630651473999, 0.5681016445159912, -0.7101069688796997, -0.9412426352500916, -0.6673448085784912, 0.05057091638445854, -0.24224653840065002, 1.163440227508545, -0.19785986840724945, -0.15024526417255402, 0.18946295976638794, -0.28815457224845886, -0.35662028193473816, -0.4210240840911865, -0.6009610295295715, 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open-llm-leaderboard/details_jjaaaww__posi_13b	open-llm-leaderboard	2023-09-17T21:53:21Z	321	0	[ "region:us" ]	null	2023-09-04T20:35:07Z	--- pretty_name: Evaluation run of jjaaaww/posi_13b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [jjaaaww/posi_13b](https://huggingface.co/jjaaaww/posi_13b) 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_jjaaaww__posi_13b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-17T21:53:10.255526](https://huggingface.co/datasets/open-llm-leaderboard/details_jjaaaww__posi_13b/blob/main/results_2023-09-17T21-53-10.255526.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\": 0.07309144295302013,\n\ \ \"em_stderr\": 0.0026655778131843967,\n \"f1\": 0.13575608221476448,\n\ \ \"f1_stderr\": 0.0028538148334764264,\n \"acc\": 0.3891760458073461,\n\ \ \"acc_stderr\": 0.007704559089096075\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.07309144295302013,\n \"em_stderr\": 0.0026655778131843967,\n\ \ \"f1\": 0.13575608221476448,\n \"f1_stderr\": 0.0028538148334764264\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.01592115238817286,\n \ \ \"acc_stderr\": 0.003447819272388996\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7624309392265194,\n \"acc_stderr\": 0.011961298905803153\n\ \ }\n}\n```" repo_url: https://huggingface.co/jjaaaww/posi_13b 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_04T20_34_43.210341 path: - '/details_harness\|arc:challenge\|25_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-04T20:34:43.210341.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_17T21_53_10.255526 path: - '/details_harness\|drop\|3_2023-09-17T21-53-10.255526.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-17T21-53-10.255526.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_17T21_53_10.255526 path: - '/details_harness\|gsm8k\|5_2023-09-17T21-53-10.255526.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-17T21-53-10.255526.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hellaswag\|10_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-04T20:34:43.210341.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-04T20:34:43.210341.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_04T20_34_43.210341 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-04T20:34:43.210341.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-04T20:34:43.210341.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_17T21_53_10.255526 path: - '/details_harness\|winogrande\|5_2023-09-17T21-53-10.255526.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-17T21-53-10.255526.parquet' - config_name: results data_files: - split: 2023_09_04T20_34_43.210341 path: - results_2023-09-04T20:34:43.210341.parquet - split: 2023_09_17T21_53_10.255526 path: - results_2023-09-17T21-53-10.255526.parquet - split: latest path: - results_2023-09-17T21-53-10.255526.parquet --- # Dataset Card for Evaluation run of jjaaaww/posi_13b ## Dataset Description - Homepage: - Repository: https://huggingface.co/jjaaaww/posi_13b - 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 [jjaaaww/posi_13b](https://huggingface.co/jjaaaww/posi_13b) 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_jjaaaww__posi_13b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-17T21:53:10.255526](https://huggingface.co/datasets/open-llm-leaderboard/details_jjaaaww__posi_13b/blob/main/results_2023-09-17T21-53-10.255526.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": 0.07309144295302013, "em_stderr": 0.0026655778131843967, "f1": 0.13575608221476448, "f1_stderr": 0.0028538148334764264, "acc": 0.3891760458073461, "acc_stderr": 0.007704559089096075 }, "harness\|drop\|3": { "em": 0.07309144295302013, "em_stderr": 0.0026655778131843967, "f1": 0.13575608221476448, "f1_stderr": 0.0028538148334764264 }, "harness\|gsm8k\|5": { "acc": 0.01592115238817286, "acc_stderr": 0.003447819272388996 }, "harness\|winogrande\|5": { "acc": 0.7624309392265194, "acc_stderr": 0.011961298905803153 } } ``` ### 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]	[ -0.4484473764896393, -0.7189619541168213, 0.2540341019630432, 0.2543528378009796, -0.13570870459079742, 0.06459254026412964, -0.37290048599243164, -0.16627350449562073, 0.42615216970443726, 0.5563497543334961, -0.712324857711792, -0.9602565169334412, -0.6473680138587952, 0.2094029188156128, -0.06982195377349854, 1.0858712196350098, -0.31395822763442993, -0.22424785792827606, 0.009116834960877895, -0.25867316126823425, -0.26274600625038147, -0.36211612820625305, -0.4549126625061035, 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sogou_news	null	2023-04-05T13:40:25Z	320	0	[ "arxiv:1509.01626", "region:us" ]	null	2022-03-02T23:29:22Z	--- pretty_name: Sogou News dataset_info: features: - name: title dtype: string - name: content dtype: string - name: label dtype: class_label: names: '0': sports '1': finance '2': entertainment '3': automobile '4': technology splits: - name: test num_bytes: 168645860 num_examples: 60000 - name: train num_bytes: 1257931136 num_examples: 450000 download_size: 384269937 dataset_size: 1426576996 --- # Dataset Card for "sogou_news" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: []() - Repository: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of downloaded dataset files: 384.27 MB - Size of the generated dataset: 1.43 GB - Total amount of disk used: 1.81 GB ### Dataset Summary The Sogou News dataset is a mixture of 2,909,551 news articles from the SogouCA and SogouCS news corpora, in 5 categories. The number of training samples selected for each class is 90,000 and testing 12,000. Note that the Chinese characters have been converted to Pinyin. classification labels of the news are determined by their domain names in the URL. For example, the news with URL http://sports.sohu.com is categorized as a sport class. ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances #### default - Size of downloaded dataset files: 384.27 MB - Size of the generated dataset: 1.43 GB - Total amount of disk used: 1.81 GB An example of 'train' looks as follows. ``` { "content": "du2 jia1 ti2 go1ng me3i ri4 ba4o jia4 \\n re4 xia4n :010-64438227\\n che1 xi2ng ba4o jia4 - cha2 xu2n jie2 guo3 \\n pi3n pa2i xi2ng ha4o jia4 ge2 ji1ng xia1o sha1ng ri4 qi1 zha1 ka4n ca1n shu4 pi2ng lu4n ", "label": 3, "title": " da3o ha2ng " } ``` ### Data Fields The data fields are the same among all splits. #### default - `title`: a `string` feature. - `content`: a `string` feature. - `label`: a classification label, with possible values including `sports` (0), `finance` (1), `entertainment` (2), `automobile` (3), `technology` (4). ### Data Splits \| name \|train \|test \| \|-------\|-----:\|----:\| \|default\|450000\|60000\| ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @misc{zhang2015characterlevel, title={Character-level Convolutional Networks for Text Classification}, author={Xiang Zhang and Junbo Zhao and Yann LeCun}, year={2015}, eprint={1509.01626}, archivePrefix={arXiv}, primaryClass={cs.LG} } ``` ### Contributions Thanks to [@lhoestq](https://github.com/lhoestq), [@mariamabarham](https://github.com/mariamabarham), [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf) for adding this dataset.	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patriziobellan/PET	patriziobellan	2023-07-05T14:03:24Z	320	6	[ "task_categories:token-classification", "size_categories:n<1K", "language:en", "license:mit", "Business Process Management", "NLP", "ML", "DL", "arxiv:2203.04860", "region:us" ]	[ "token-classification" ]	2022-04-14T09:35:11Z	--- license: mit task_categories: - token-classification language: - en tags: - Business Process Management - NLP - ML - DL pretty_name: PET size_categories: - n<1K --- # PET: A NEW DATASET FOR PROCESS EXTRACTION FROM TEXT # Dataset Card for PET ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) - [Annotation Guidelines](#annotationguidelines) - [Update](#updates) - [Loading data](#loadingdata) ## Dataset Description - Homepage: https://pdi.fbk.eu/pet-dataset/ - Paper: https://arxiv.org/abs/2203.04860 - Point of Contact: [Patrizio Bellan]([email protected]) ### Dataset Summary Abstract. Although there is a long tradition of work in NLP on extracting entities and relations from text, to date there exists little work on the acquisition of business processes from unstructured data such as textual corpora of process descriptions. With this work we aim at filling this gap and establishing the first steps towards bridging data-driven information extraction methodologies from Natural Language Processing and the model-based formalization that is aimed from Business Process Management. For this, we develop the first corpus of business process descriptions annotated with activities, actors, activity data, gateways and their conditions. We present our new resource to benchmark the difficulty and challenges of business process extraction from text. ### Supported Tasks and Leaderboards - Token Classification - Named Entity Recognition - Relations Extraction ### Languages English ## Dataset Structure Test set to beanchmark Business Process Extraction from Text approaches. ### Data Instances #### Token Classification For each instance, there is a document name representing the name of the document of the Friedrich et al. dataset, an integer representing the number of the sentence, a list of tokens representing the words of the sentence instance, and a list of ner tags (in IOB2 format) representing the annotation of process elements of the sentence. Below, an example of data instance. ``` { "document name":"doc-1.1", "sentence-ID":1, "tokens":["Whenever","the","sales","department","receives","an","order",",","a","new","process","instance","is","created","."], "ner-tags":["O","B-Actor","I-Actor","I-Actor","B-Activity","B-Activity Data","I-Activity Data","O","O","O","O","O","O","O","O"] } ``` #### Relations Extraction For each instance, there is a document name representing the name of the document of the Friedrich et al. dataset, a list of tokens representing the words of the document instance, a list of interger representing the words position within each sentence of the document instance, a list of ner tags (in IOB2 format) representing the annotation of the token, a list of sentence id representing for each token the number of the sentence, and a list of relations of the document. Below, an example of data instance. ``` { "document name": "doc-1.1", "tokens": ["A", "small", "company",...], "tokens-IDs": [0, 1, 2, ...], "ner_tags": ["O", "O", "O", ...], "sentence-IDs": [0, 0, 0, ...], "relations": { "source-head-sentence-ID": [1, 1, 1, ...], "source-head-word-ID": [4, 4, 4, ...], "relation-type": ["uses", "flow", "actor recipient", ...], "target-head-sentence-ID": [1, 2, 1,...], "target-head-word-ID": [5, 9, 1, ...] } } ``` ### Data Fields #### Token Classification - document name: a string used to represent the name of the document. - sentence-ID: an integer (starting from 0) representing the number of the sentence within the document. - tokens: a list of string representing the words of the sentence - ner-tags: a list of string representing the annotation for each word. The allowed ner-tags are: - O: An O tag indicates that a token belongs to no chunk. - B-Actor: This tag indicates the beginning of an Actor chunk. - I-Actor: This tag indicates that the tag is inside an Actor chunk. - B-Activity: This tag indicates the beginning of an Activity chunk. - I-Activity: This tag indicates that the tag is inside an Activity chunk. - B-Activity Data: This tag indicates the beginning of an Activity Data chunk. - I-Activity Data: This tag indicates that the tag is inside an Activity Data chunk. - B-Further Specification: This tag indicates the beginning of a Further Specification chunk. - I-Further Specification: This tag indicates that the tag is inside a Further Specification chunk. - B-XOR Gateway: This tag indicates the beginning of a XOR Gateway chunk. - I-XOR Gateway: This tag indicates that the tag is inside a XOR Gateway chunk. - B-Condition Specification: This tag indicates the beginning of a Condition Specification chunk. - I-Condition Specification: This tag indicates that the tag is inside a Condition Specification chunk. - B-AND Gateway: This tag indicates the beginning of an AND Gateway chunk. - I-AND Gateway: This tag indicates that the tag is inside an AND Gateway chunk. To have a complete explanation of each process element tag please refer to the [research paper](https://arxiv.org/abs/2203.04860) and the [annotation guidelines](https://pdi.fbk.eu/pet/annotation-guidelines-for-process-description.pdf). ### Relations Extraction - document name: a string used to represent the name of the document. - tokens: a list of string representing the words of the document - tokens-IDs: a list of interger representing the word position within a sentence. - ner_tags: a list of string representing the annotation for each word. (see ner-tags above) - sentence-IDs: a list of interger representing the sentence number for each word of the document. - relations:: a list of document relations. - source-head-sentence-ID: a list of sentence ID pointing to the sentence number of the head (first token) of the source entity. - source-head-word-ID: a list of token ID pointing to the word ID of the head (first token) of the source entity. - relation-type: a list of relation tags. - target-head-sentence-ID: a list of sentence ID pointing to the sentence number of the head (first token) of the target entity. - target-head-word-ID: a list of token ID pointing to the word ID of the head (first token) of the target entity. For instance, a relation is defined by the instances of source-head-sentence-ID, source-head-word-ID, relation-type, target-head-sentence-ID, and target-head-word-ID at the same index position. In the following example, the first relation of the first document is shown: ```python document_1=modelhub_dataset['test'][0] relation = { 'source-head-sentence-ID': document_1['relations']['source-head-sentence-ID'][0], 'source-head-word-ID': document_1['relations']['source-head-word-ID'][0], 'relation-type': document_1['relations']['relation-type'][0], 'target-head-sentence-ID': document_1['relations']['target-head-sentence-ID'][0], 'target-head-word-ID': document_1['relations']['target-head-sentence-ID'][0], } print(relation) ``` the output is: ```python {'relation-type': 'uses', 'source-head-sentence-ID': 1, 'source-head-word-ID': 4, 'target-head-sentence-ID': 1, 'target-head-word-ID': 1} ``` That means: the entity in sentence number 1, starting at the token position 4 has a uses relation with the entity in sentence number 1 starting at token position 1 ### Data Splits The data was not split. It contains the test set only. ## Dataset Creation ### Curation Rationale Although there is a long tradition of work in NLP on extracting entities and relations from text to date there exists little work on the acquisition of business processes from unstructured data such as textual corpora of process descriptions. With this work we aim at filling this gap and establishing the first steps towards bridging data-driven information extraction methodologies from Natural Language Processing and the model-based formalization that is aimed from Business Process Management. ### Source Data #### Initial Data Collection and Normalization The dataset construction process has been split in five main phases: 1. Text pre-processing. As the first operation, we check the content of each document and we tokenized it. This initial check was necessary since some of the original texts were automatically translated into English by the authors of the dataset. The translations were never validated, indeed, several errors have been found and fixed. 2. Text Annotation. Each text has been annotated by using the [guidelines](https://pdi.fbk.eu/pet/annotation-guidelines-for-process-description.pdf). The team was composed by five annotators with high expertise in BPMN. Each document has been assigned to three experts that were in change of identifying all the elements and flows with each document. In this phase, we used the the Inception tool to support annotators. 3. Automatic annotation fixing. After the second phase, we ran an automatic procedure relying on a rule-based script to automatically fix annotations that were not compliant with the guidelines. For example, if a modal verb was erroneously included in the annotation of an Activity, the procedure removed it from the annotation. Another example is the missing of the article within an annotation related to an Actor. In this case, the script included it in the annotation. This phase allowed to remove possible annotation errors and to obtain annotations compliant with the guidelines. 4. Agreement Computation. Here, we computed, on the annotation provided by the experts, the agreement scores for each process element and for each relation between process elements pair adopting the methodology proposed in [Hripcsak et al.](https://academic.oup.com/jamia/article/12/3/296/812057?login=true). We measured the agreement in terms of the F1 measure because, besides being straightforward to calculate, it is directly interpretable. Note that chance-corrected measures like k approach the F1-measure as the number of cases that raters agree are negative grows. By following such a methodology, an annotation was considered in agreement among the experts if and only if they capture the same span of words and they assign the same process element tag to the annotation. 5. Reconciliation. The last phase consisted of the mitigation of disagreements within the annotations provided by the experts. The aim of this phase is to obtain a shared and agreed set of gold standard annotations on each text for both entities and relations. Such entities also enable the generation of the related full-connected process model flow that can be rendered by using, but not limited to, a BPMN diagram. During this last phase, among the 47 documents originally included into the dataset, 2 of them were discarded. These texts were not fully annotated by the annotators since they were not be able to completely understand which process elements were actually included in some specific parts of the text. For this reason, the final size of the dataset is 45 textual descriptions of the corresponding process models together with their annotations. #### Who are the source language producers? English ### Annotations #### Annotation process You can read about the annotation process in the original paper https://arxiv.org/abs/2203.04860 #### Who are the annotators? Expert Annotators ### Personal and Sensitive Information No personal or sensitive information issues. ## Considerations for Using the Data ### Social Impact of Dataset The dataset has no social impact ### Discussion of Biases No bias found in the dataset ### Other Known Limitations The Further specification and AND Gateway elements obtained very poor performance on the baselines proposed in the paper. The AND Gateway is the less represented process elements in this dataset. The Further Specification process element was the most difficult element to annotate. ## Additional Information ### Dataset Curators - Patrizio Bellan (Fondazione Bruno Kessler, Trento, Italy and Free University of Bozen-Bolzano, Bolzano, Italy) - Mauro Dragoni (Fondazione Bruno Kessler, Trento, Italy) - Chiara Ghidini (Fondazione Bruno Kessler, Trento, Italy) - Han van der Aa (University of Mannheim, Mannheim, Germany) - Simone Ponzetto (University of Mannheim, Mannheim, Germany) ### Licensing Information ### Citation Information ``` @inproceedings{DBLP:conf/aiia/BellanGDPA22, author = {Patrizio Bellan and Chiara Ghidini and Mauro Dragoni and Simone Paolo Ponzetto and Han van der Aa}, editor = {Debora Nozza and Lucia C. Passaro and Marco Polignano}, title = {Process Extraction from Natural Language Text: the {PET} Dataset and Annotation Guidelines}, booktitle = {Proceedings of the Sixth Workshop on Natural Language for Artificial Intelligence {(NL4AI} 2022) co-located with 21th International Conference of the Italian Association for Artificial Intelligence (AIIA 2022), Udine, November 30th, 2022}, series = {{CEUR} Workshop Proceedings}, volume = {3287}, pages = {177--191}, publisher = {CEUR-WS.org}, year = {2022}, url = {https://ceur-ws.org/Vol-3287/paper18.pdf}, timestamp = {Fri, 10 Mar 2023 16:23:01 +0100}, biburl = {https://dblp.org/rec/conf/aiia/BellanGDPA22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} } @inproceedings{DBLP:conf/bpm/BellanADGP22, author = {Patrizio Bellan and Han van der Aa and Mauro Dragoni and Chiara Ghidini and Simone Paolo Ponzetto}, editor = {Cristina Cabanillas and Niels Frederik Garmann{-}Johnsen and Agnes Koschmider}, title = {{PET:} An Annotated Dataset for Process Extraction from Natural Language Text Tasks}, booktitle = {Business Process Management Workshops - {BPM} 2022 International Workshops, M{\"{u}}nster, Germany, September 11-16, 2022, Revised Selected Papers}, series = {Lecture Notes in Business Information Processing}, volume = {460}, pages = {315--321}, publisher = {Springer}, year = {2022}, url = {https://doi.org/10.1007/978-3-031-25383-6\_23}, doi = {10.1007/978-3-031-25383-6\_23}, timestamp = {Tue, 14 Feb 2023 09:47:10 +0100}, biburl = {https://dblp.org/rec/conf/bpm/BellanADGP22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} } ``` ### Contributions Thanks to [Patrizio Bellan](https://pdi.fbk.eu/bellan/) for adding this dataset. #### <a name="updates"></a>Update - v1.0.0: Added token classification task - v1.0.1: Added extraction relation task - v1.1.0: Fixed minor errors, fixed performs relations Version 1.1.0 cab be found [here](https://huggingface.co/datasets/patriziobellan/PETv11) ## <a name="annotationguidelines"></a>Annotation Guidelines ### Inception Schema The inception schema can be found [here](https://pdi.fbk.eu/pet/inception-schema.json) ### Annotation Guidelines The Annotation guidelines and procedures adopted to annotate the PET dataset can be downloaded [here](https://pdi.fbk.eu/pet/annotation-guidelines-for-process-description.pdf) ### Article The article can be downloaded [here]({https://ceur-ws.org/Vol-3287/paper18.pdf}) ### Python Interface A Python interface (beta version) to interact with the dataset can be found [here](https://pypi.org/project/petdatasetreader/) You can find the BASELINES*, the annotation data, and a graphical interface to visualize predictions [here](https://github.com/patriziobellan86/PETbaselines) ### Benchmarks A Python benchmarking procedure package to test approaches on the PET dataset ca be found [here](https://pypi.org/project/petbenchmarks/) ## <a name="loadingdata"></a>Loading data ### Token-classification task ```python from datasets import load_dataset modelhub_dataset = load_dataset("patriziobellan/PET", name='token-classification') ``` ### Relations-extraction task ```python from datasets import load_dataset modelhub_dataset = load_dataset("patriziobellan/PET", name='relations-extraction') ```	[ -0.381130188703537, -0.8572984337806702, 0.4546908736228943, 0.15700244903564453, -0.2501056492328644, -0.2081708461046219, -0.24785348773002625, -0.38342157006263733, 0.21123723685741425, 0.762727677822113, -0.8253927826881409, -0.7257879972457886, -0.7052909731864929, 0.1967753916978836, -0.18381012976169586, 1.2887359857559204, -0.2035941183567047, -0.17817586660385132, -0.07657352834939957, -0.13337628543376923, -0.2745104730129242, -0.496753454208374, -0.6103639006614685, -0.3862498998641968, 0.34553056955337524, 0.361576110124588, 0.559969961643219, 0.9371532797813416, 0.6902173757553101, 0.2948617935180664, 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philschmid/emotion	philschmid	2023-01-20T14:56:20Z	320	1	[ "task_categories:text-classification", "task_ids:multi-class-classification", "annotations_creators:machine-generated", "language_creators:machine-generated", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "license:other", "emotion-classification", "region:us" ]	[ "text-classification" ]	2023-01-20T14:56:20Z	--- pretty_name: Emotion annotations_creators: - machine-generated language_creators: - machine-generated language: - en license: - other multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - text-classification task_ids: - multi-class-classification paperswithcode_id: emotion train-eval-index: - config: default task: text-classification task_id: multi_class_classification splits: train_split: train eval_split: test col_mapping: text: text label: target metrics: - type: accuracy name: Accuracy - type: f1 name: F1 macro args: average: macro - type: f1 name: F1 micro args: average: micro - type: f1 name: F1 weighted args: average: weighted - type: precision name: Precision macro args: average: macro - type: precision name: Precision micro args: average: micro - type: precision name: Precision weighted args: average: weighted - type: recall name: Recall macro args: average: macro - type: recall name: Recall micro args: average: micro - type: recall name: Recall weighted args: average: weighted tags: - emotion-classification dataset_info: - config_name: split features: - name: text dtype: string - name: label dtype: class_label: names: '0': sadness '1': joy '2': love '3': anger '4': fear '5': surprise splits: - name: train num_bytes: 1741597 num_examples: 16000 - name: validation num_bytes: 214703 num_examples: 2000 - name: test num_bytes: 217181 num_examples: 2000 download_size: 740883 dataset_size: 2173481 - config_name: unsplit features: - name: text dtype: string - name: label dtype: class_label: names: '0': sadness '1': joy '2': love '3': anger '4': fear '5': surprise splits: - name: train num_bytes: 45445685 num_examples: 416809 download_size: 15388281 dataset_size: 45445685 duplicated_from: emotion --- # Dataset Card for "emotion" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: [https://github.com/dair-ai/emotion_dataset](https://github.com/dair-ai/emotion_dataset) - Repository: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of downloaded dataset files: 3.95 MB - Size of the generated dataset: 4.16 MB - Total amount of disk used: 8.11 MB ### Dataset Summary Emotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise. For more detailed information please refer to the paper. ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances An example looks as follows. ``` { "text": "im feeling quite sad and sorry for myself but ill snap out of it soon", "label": 0 } ``` ### Data Fields The data fields are: - `text`: a `string` feature. - `label`: a classification label, with possible values including `sadness` (0), `joy` (1), `love` (2), `anger` (3), `fear` (4), `surprise` (5). ### Data Splits The dataset has 2 configurations: - split: with a total of 20_000 examples split into train, validation and split - unsplit: with a total of 416_809 examples in a single train split \| name \| train \| validation \| test \| \|---------\|-------:\|-----------:\|-----:\| \| split \| 16000 \| 2000 \| 2000 \| \| unsplit \| 416809 \| n/a \| n/a \| ## 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 The dataset should be used for educational and research purposes only. ### Citation Information If you use this dataset, please cite: ``` @inproceedings{saravia-etal-2018-carer, title = "{CARER}: Contextualized Affect Representations for Emotion Recognition", author = "Saravia, Elvis and Liu, Hsien-Chi Toby and Huang, Yen-Hao and Wu, Junlin and Chen, Yi-Shin", booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing", month = oct # "-" # nov, year = "2018", address = "Brussels, Belgium", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/D18-1404", doi = "10.18653/v1/D18-1404", pages = "3687--3697", abstract = "Emotions are expressed in nuanced ways, which varies by collective or individual experiences, knowledge, and beliefs. Therefore, to understand emotion, as conveyed through text, a robust mechanism capable of capturing and modeling different linguistic nuances and phenomena is needed. We propose a semi-supervised, graph-based algorithm to produce rich structural descriptors which serve as the building blocks for constructing contextualized affect representations from text. The pattern-based representations are further enriched with word embeddings and evaluated through several emotion recognition tasks. Our experimental results demonstrate that the proposed method outperforms state-of-the-art techniques on emotion recognition tasks.", } ``` ### Contributions Thanks to [@lhoestq](https://github.com/lhoestq), [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun) for adding this dataset.	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MohitK/indian_food_images	MohitK	2023-03-28T00:52:34Z	320	0	[ "region:us" ]	null	2023-03-28T00:42:24Z	--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': burger '1': butter_naan '2': chai '3': chapati '4': chole_bhature '5': dal_makhani '6': dhokla '7': fried_rice '8': idli '9': jalebi '10': kaathi_rolls '11': kadai_paneer '12': kulfi '13': masala_dosa '14': momos '15': paani_puri '16': pakode '17': pav_bhaji '18': pizza '19': samosa splits: - name: train num_bytes: 1622005508.6394334 num_examples: 5328 - name: test num_bytes: 251982030.3925666 num_examples: 941 download_size: 1599894487 dataset_size: 1873987539.032 --- # Dataset Card for "indian_food_images" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.4587499797344208, -0.28445273637771606, 0.0436733141541481, 0.20662753283977509, -0.15003222227096558, 0.01542462594807148, 0.2855421304702759, 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open-llm-leaderboard/details_CalderaAI__13B-BlueMethod	open-llm-leaderboard	2023-09-20T16:04:02Z	320	0	[ "region:us" ]	null	2023-08-17T23:59:25Z	--- pretty_name: Evaluation run of CalderaAI/13B-BlueMethod dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [CalderaAI/13B-BlueMethod](https://huggingface.co/CalderaAI/13B-BlueMethod) 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_CalderaAI__13B-BlueMethod\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-20T16:03:50.235184](https://huggingface.co/datasets/open-llm-leaderboard/details_CalderaAI__13B-BlueMethod/blob/main/results_2023-09-20T16-03-50.235184.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\": 0.3099832214765101,\n\ \ \"em_stderr\": 0.0047362931024528656,\n \"f1\": 0.3761765939597331,\n\ \ \"f1_stderr\": 0.0046456997549096015,\n \"acc\": 0.4246011633744681,\n\ \ \"acc_stderr\": 0.009599007352566805\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.3099832214765101,\n \"em_stderr\": 0.0047362931024528656,\n\ \ \"f1\": 0.3761765939597331,\n \"f1_stderr\": 0.0046456997549096015\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.07808946171341925,\n \ \ \"acc_stderr\": 0.0073906544811082366\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.771112865035517,\n \"acc_stderr\": 0.011807360224025376\n\ \ }\n}\n```" repo_url: https://huggingface.co/CalderaAI/13B-BlueMethod 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_07_24T13_36_47.122036 path: - '/details_harness\|arc:challenge\|25_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-07-24T13:36:47.122036.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_20T16_03_50.235184 path: - '/details_harness\|drop\|3_2023-09-20T16-03-50.235184.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-20T16-03-50.235184.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_20T16_03_50.235184 path: - '/details_harness\|gsm8k\|5_2023-09-20T16-03-50.235184.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-20T16-03-50.235184.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hellaswag\|10_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-24T13:36:47.122036.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-management\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-24T13:36:47.122036.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_24T13_36_47.122036 path: - '/details_harness\|truthfulqa:mc\|0_2023-07-24T13:36:47.122036.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-07-24T13:36:47.122036.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_20T16_03_50.235184 path: - '/details_harness\|winogrande\|5_2023-09-20T16-03-50.235184.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-20T16-03-50.235184.parquet' - config_name: results data_files: - split: 2023_07_24T13_36_47.122036 path: - results_2023-07-24T13:36:47.122036.parquet - split: 2023_09_20T16_03_50.235184 path: - results_2023-09-20T16-03-50.235184.parquet - split: latest path: - results_2023-09-20T16-03-50.235184.parquet --- # Dataset Card for Evaluation run of CalderaAI/13B-BlueMethod ## Dataset Description - Homepage: - Repository: https://huggingface.co/CalderaAI/13B-BlueMethod - 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 [CalderaAI/13B-BlueMethod](https://huggingface.co/CalderaAI/13B-BlueMethod) 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_CalderaAI__13B-BlueMethod", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-20T16:03:50.235184](https://huggingface.co/datasets/open-llm-leaderboard/details_CalderaAI__13B-BlueMethod/blob/main/results_2023-09-20T16-03-50.235184.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": 0.3099832214765101, "em_stderr": 0.0047362931024528656, "f1": 0.3761765939597331, "f1_stderr": 0.0046456997549096015, "acc": 0.4246011633744681, "acc_stderr": 0.009599007352566805 }, "harness\|drop\|3": { "em": 0.3099832214765101, "em_stderr": 0.0047362931024528656, "f1": 0.3761765939597331, "f1_stderr": 0.0046456997549096015 }, "harness\|gsm8k\|5": { "acc": 0.07808946171341925, "acc_stderr": 0.0073906544811082366 }, "harness\|winogrande\|5": { "acc": 0.771112865035517, "acc_stderr": 0.011807360224025376 } } ``` ### 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]	[ -0.3788588047027588, -0.6116048097610474, 0.16284061968326569, 0.3490992486476898, -0.18779729306697845, 0.10784129798412323, -0.28697511553764343, -0.19584083557128906, 0.40592947602272034, 0.5084323287010193, -0.7879424691200256, -1.047933578491211, -0.5617222785949707, 0.1507246196269989, 0.00929636787623167, 1.1092884540557861, -0.26359543204307556, -0.2055787742137909, 0.06544657051563263, -0.31675413250923157, -0.43161264061927795, -0.3796256482601166, -0.5398373007774353, 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open-llm-leaderboard/details_elliotthwang__elliott_Llama-2-7b-hf	open-llm-leaderboard	2023-10-26T23:30:23Z	320	0	[ "region:us" ]	null	2023-10-09T04:04:43Z	--- pretty_name: Evaluation run of elliotthwang/elliott_Llama-2-7b-hf dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [elliotthwang/elliott_Llama-2-7b-hf](https://huggingface.co/elliotthwang/elliott_Llama-2-7b-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_elliotthwang__elliott_Llama-2-7b-hf\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-26T23:30:10.386120](https://huggingface.co/datasets/open-llm-leaderboard/details_elliotthwang__elliott_Llama-2-7b-hf/blob/main/results_2023-10-26T23-30-10.386120.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\": 0.001153523489932886,\n\ \ \"em_stderr\": 0.00034761798968571027,\n \"f1\": 0.05575817953020141,\n\ \ \"f1_stderr\": 0.001306153544964195,\n \"acc\": 0.4026884110741377,\n\ \ \"acc_stderr\": 0.009681922567248534\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.001153523489932886,\n \"em_stderr\": 0.00034761798968571027,\n\ \ \"f1\": 0.05575817953020141,\n \"f1_stderr\": 0.001306153544964195\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.06899166034874905,\n \ \ \"acc_stderr\": 0.006980995834838602\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7363851617995264,\n \"acc_stderr\": 0.012382849299658464\n\ \ }\n}\n```" repo_url: https://huggingface.co/elliotthwang/elliott_Llama-2-7b-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_09T04_04_19.372525 path: - '/details_harness\|arc:challenge\|25_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-09T04-04-19.372525.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_26T23_30_10.386120 path: - '/details_harness\|drop\|3_2023-10-26T23-30-10.386120.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-26T23-30-10.386120.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_26T23_30_10.386120 path: - '/details_harness\|gsm8k\|5_2023-10-26T23-30-10.386120.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-26T23-30-10.386120.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hellaswag\|10_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T04-04-19.372525.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-09T04-04-19.372525.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_09T04_04_19.372525 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-09T04-04-19.372525.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-09T04-04-19.372525.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_26T23_30_10.386120 path: - '/details_harness\|winogrande\|5_2023-10-26T23-30-10.386120.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-26T23-30-10.386120.parquet' - config_name: results data_files: - split: 2023_10_09T04_04_19.372525 path: - results_2023-10-09T04-04-19.372525.parquet - split: 2023_10_26T23_30_10.386120 path: - results_2023-10-26T23-30-10.386120.parquet - split: latest path: - results_2023-10-26T23-30-10.386120.parquet --- # Dataset Card for Evaluation run of elliotthwang/elliott_Llama-2-7b-hf ## Dataset Description - Homepage: - Repository: https://huggingface.co/elliotthwang/elliott_Llama-2-7b-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 [elliotthwang/elliott_Llama-2-7b-hf](https://huggingface.co/elliotthwang/elliott_Llama-2-7b-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_elliotthwang__elliott_Llama-2-7b-hf", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-26T23:30:10.386120](https://huggingface.co/datasets/open-llm-leaderboard/details_elliotthwang__elliott_Llama-2-7b-hf/blob/main/results_2023-10-26T23-30-10.386120.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": 0.001153523489932886, "em_stderr": 0.00034761798968571027, "f1": 0.05575817953020141, "f1_stderr": 0.001306153544964195, "acc": 0.4026884110741377, "acc_stderr": 0.009681922567248534 }, "harness\|drop\|3": { "em": 0.001153523489932886, "em_stderr": 0.00034761798968571027, "f1": 0.05575817953020141, "f1_stderr": 0.001306153544964195 }, "harness\|gsm8k\|5": { "acc": 0.06899166034874905, "acc_stderr": 0.006980995834838602 }, "harness\|winogrande\|5": { "acc": 0.7363851617995264, "acc_stderr": 0.012382849299658464 } } ``` ### 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]	[ -0.4324493408203125, -0.6314822435379028, 0.35021543502807617, 0.2928755581378937, -0.23013709485530853, 0.22361156344413757, -0.38028931617736816, -0.31256160140037537, 0.46126991510391235, 0.529484212398529, -0.7694322466850281, -0.9879951477050781, -0.7075647115707397, 0.28237444162368774, -0.1728326827287674, 1.1034799814224243, -0.31143006682395935, -0.27169525623321533, 0.068553127348423, -0.2989281117916107, -0.3741414546966553, -0.38049888610839844, -0.5844600200653076, 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crd3	null	2022-11-18T19:47:20Z	319	12	[ "task_categories:summarization", "task_categories:text-generation", "task_categories:fill-mask", "task_ids:dialogue-modeling", "annotations_creators:no-annotation", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "license:cc-by-sa-4.0", "region:us" ]	[ "summarization", "text-generation", "fill-mask" ]	2022-03-02T23:29:22Z	--- pretty_name: CRD3 (Critical Role Dungeons and Dragons Dataset) annotations_creators: - no-annotation language_creators: - crowdsourced language: - en license: - cc-by-sa-4.0 multilinguality: - monolingual source_datasets: - original task_categories: - summarization - text-generation - fill-mask task_ids: - dialogue-modeling size_categories: - 10K<n<100K paperswithcode_id: crd3 dataset_info: features: - name: chunk dtype: string - name: chunk_id dtype: int32 - name: turn_start dtype: int32 - name: turn_end dtype: int32 - name: alignment_score dtype: float32 - name: turns list: - name: names sequence: string - name: utterances sequence: string - name: number dtype: int32 splits: - name: train num_bytes: 236605152 num_examples: 38969 - name: test num_bytes: 40269203 num_examples: 7500 - name: validation num_bytes: 41543528 num_examples: 6327 download_size: 117519820 dataset_size: 318417883 --- # Dataset Card for "crd3" ## 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: [CRD3 homepage](https://github.com/RevanthRameshkumar/CRD3) - Repository: [CRD3 repository](https://github.com/RevanthRameshkumar/CRD3) - Paper: [Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset](https://www.aclweb.org/anthology/2020.acl-main.459/) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Dataset Summary Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset. Critical Role is an unscripted, live-streamed show where a fixed group of people play Dungeons and Dragons, an open-ended role-playing game. The dataset is collected from 159 Critical Role episodes transcribed to text dialogues, consisting of 398,682 turns. It also includes corresponding abstractive summaries collected from the Fandom wiki. The dataset is linguistically unique in that the narratives are generated entirely through player collaboration and spoken interaction. For each dialogue, there are a large number of turns, multiple abstractive summaries with varying levels of detail, and semantic ties to the previous dialogues. ### Supported Tasks and Leaderboards `summarization`: The dataset can be used to train a model for abstractive summarization. A [fast abstractive summarization-RL](https://github.com/ChenRocks/fast_abs_rl) model was presented as a baseline, which achieves ROUGE-L-F1 of 25.18. ### Languages The text in the dataset is in English, as spoken by actors on The Critical Role show, which is a weekly unscripted, live-stream of a fixed group of people playing Dungeons and Dragons, a popular role-playing game. ## Dataset Structure ### Data Instances An example of 'train' looks as follows. ``` { "alignment_score": 3.679936647415161, "chunk": "Wish them a Happy Birthday on their Facebook and Twitter pages! Also, as a reminder: D&D Beyond streams their weekly show (\"And Beyond\") every Wednesday on twitch.tv/dndbeyond.", "chunk_id": 1, "turn_end": 6, "turn_num": 4, "turn_start": 4, "turns": { "names": ["SAM"], "utterances": ["Yesterday, guys, was D&D Beyond's first one--", "first one-year anniversary. Take two. Hey guys,", "yesterday was D&D Beyond's one-year anniversary.", "Wish them a happy birthday on their Facebook and", "Twitter pages."] } } ``` ### Data Fields The data fields are the same among all splits. - `chunk`: a `string` feature. - `chunk_id`: a `int32` feature. - `turn_start`: a `int32` feature. - `turn_end`: a `int32` feature. - `alignment_score`: a `float32` feature. - `turn_num`: a `int32` feature. - `turns`: a dictionary feature containing: - `names`: a `string` feature. - `utterances`: a `string` feature. ### Data Splits \| name \| train \|validation\| test \| \|-------\|------:\|---------:\|------:\| \|default\|38,969\| 6,327\|7,500\| ## Dataset Creation ### Curation Rationale Dialogue understanding and abstractive summarization remain both important and challenging problems for computational linguistics. Current paradigms in summarization modeling have specific failures in capturing semantics and pragmatics, content selection, rewriting, and evaluation in the domain of long, story-telling dialogue. CRD3 offers a linguistically rich dataset to explore these domains. ### Source Data #### Initial Data Collection and Normalization Dungeons and Dragons is a popular roleplaying game that is driven by structured storytelling. Critical Role is an unscripted, live-streamed show where a fixed group of people play Dungeons and Dragons. This dataset consists of 159 episodes of the show, where the episodes are transcribed. Inconsistencies (e.g. spelling of speaker names) were manually resolved. The abstractive summaries were collected from the [Critical Role Fandom wiki](https://criticalrole.fandom.com/) #### Who are the source language producers? The language producers are actors on The Critical Role show, which is a weekly unscripted, live-stream of a fixed group of people playing Dungeons and Dragons, a popular role-playing game. ### Annotations #### Annotation process [N/A] #### Who are the annotators? [N/A] ### Personal and Sensitive Information [N/A] ## 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 CRTranscript provided transcripts of the show; contributors of the Critical Role Wiki provided the abstractive summaries. ### Licensing Information This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License][cc-by-sa-4.0]., as corresponding to the Critical Role Wiki https://criticalrole.fandom.com/ ### Citation Information ```bibtex @inproceedings{ title = {Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset}, author = {Rameshkumar, Revanth and Bailey, Peter}, year = {2020}, publisher = {Association for Computational Linguistics}, conference = {ACL} } ``` ### Contributions Thanks to [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@mariamabarham](https://github.com/mariamabarham), [@lewtun](https://github.com/lewtun) for adding this dataset.	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ohsumed	null	2022-11-18T21:34:41Z	319	1	[ "task_categories:text-classification", "task_ids:multi-label-classification", "annotations_creators:expert-generated", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:original", "language:en", "license:cc-by-nc-4.0", "region:us" ]	[ "text-classification" ]	2022-03-02T23:29:22Z	--- pretty_name: Ohsumed annotations_creators: - expert-generated language_creators: - crowdsourced language: - en license: - cc-by-nc-4.0 multilinguality: - monolingual size_categories: - 100K<n<1M source_datasets: - original task_categories: - text-classification task_ids: - multi-label-classification paperswithcode_id: null dataset_info: features: - name: seq_id dtype: int64 - name: medline_ui dtype: int64 - name: mesh_terms dtype: string - name: title dtype: string - name: publication_type dtype: string - name: abstract dtype: string - name: author dtype: string - name: source dtype: string config_name: ohsumed splits: - name: train num_bytes: 60117860 num_examples: 54709 - name: test num_bytes: 338533901 num_examples: 293855 download_size: 139454017 dataset_size: 398651761 --- # Dataset Card for ohsumed ## 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: http://davis.wpi.edu/xmdv/datasets/ohsumed.html - Repository: https://trec.nist.gov/data/filtering/t9.filtering.tar.gz - Paper: https://link.springer.com/chapter/10.1007/978-1-4471-2099-5_20 - Leaderboard: - Point of Contact: [William Hersh](mailto:[email protected]) [Aakash Gupta](mailto:[email protected]) ### Dataset Summary The OHSUMED test collection is a set of 348,566 references from MEDLINE, the on-line medical information database, consisting of titles and/or abstracts from 270 medical journals over a five-year period (1987-1991). The available fields are title, abstract, MeSH indexing terms, author, source, and publication type. The National Library of Medicine has agreed to make the MEDLINE references in the test database available for experimentation, restricted to the following conditions: 1. The data will not be used in any non-experimental clinical, library, or other setting. 2. Any human users of the data will explicitly be told that the data is incomplete and out-of-date. Please check this [readme](https://trec.nist.gov/data/filtering/README.t9.filtering) for more details ### Supported Tasks and Leaderboards [Text Classification](https://paperswithcode.com/sota/text-classification-on-ohsumed) ### Languages The text is primarily in English. The BCP 47 code is `en` ## Dataset Structure ### Data Instances ``` {'seq_id': 7770, 'medline_ui': 87120420, 'mesh_terms': 'Adult; Aged; Aneurysm/CO; Arteriovenous Fistula/TH; Carotid Arteries; Case Report; Female; Human; Jugular Veins; Male; Methods; Middle Age; Neck/BS; Vertebral Artery.', 'title': 'Arteriovenous fistulas of the large vessels of the neck: nonsurgical percutaneous occlusion.', 'publication_type': 'JOURNAL ARTICLE.', 'abstract': 'We describe the nonsurgical treatment of arteriovenous fistulas of the large vessels in the neck using three different means of endovascular occlusion of these large lesions, which are surgically difficult to approach and treat.', 'author': 'Vitek JJ; Keller FS.', 'source': 'South Med J 8705; 80(2):196-200'} ``` ### Data Fields Here are the field definitions: - seg_id: sequential identifier (important note: documents should be processed in this order) - medline_ui: MEDLINE identifier (UI) (<DOCNO> used for relevance judgements) - mesh_terms: Human-assigned MeSH terms (MH) - title: Title (TI) - publication_type : Publication type (PT) - abstract: Abstract (AB) - author: Author (AU) - source: Source (SO) Note: some abstracts are truncated at 250 words and some references have no abstracts at all (titles only). We do not have access to the full text of the documents. ### Data Splits The files are Train/ Test. Where the training has files from 1987 while the test files has abstracts from 1988-91 Total number of files: Train: 54710 Test: 348567 ## Dataset Creation ### Curation Rationale The OHSUMED document collection was obtained by William Hersh ([email protected]) and colleagues for the experiments described in the papers below. [Check citation](#citation-information) ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? The test collection was built as part of a study assessing the use of MEDLINE by physicians in a clinical setting (Hersh and Hickam, above). Novice physicians using MEDLINE generated 106 queries. Only a subset of these queries were used in the TREC-9 Filtering Track. Before they searched, they were asked to provide a statement of information about their patient as well as their information need. The data was collected by William Hersh & colleagues ### Annotations #### Annotation process The existing OHSUMED topics describe actual information needs, but the relevance judgements probably do not have the same coverage provided by the TREC pooling process. The MeSH terms do not directly represent information needs, rather they are controlled indexing terms. However, the assessment should be more or less complete and there are a lot of them, so this provides an unusual opportunity to work with a very large topic sample. The topic statements are provided in the standard TREC format #### Who are the annotators? Each query was replicated by four searchers, two physicians experienced in searching and two medical librarians. The results were assessed for relevance by a different group of physicians, using a three point scale: definitely, possibly, or not relevant. The list of documents explicitly judged to be not relevant is not provided here. Over 10% of the query-document pairs were judged in duplicate to assess inter-observer reliability. For evaluation, all documents judged here as either possibly or definitely relevant were considered relevant. TREC-9 systems were allowed to distinguish between these two categories during the learning process if desired. ### Personal and Sensitive Information No PII data is present in the train, test or query files. ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations Dataset provided for research purposes only. Please check dataset license for additional information. ## Additional Information ### Dataset Curators [Aakash Gupta](mailto:[email protected]) Th!nkEvolve Consulting and Researcher at CoronaWhy ### Licensing Information CC BY-NC 4.0 ### Citation Information Hersh WR, Buckley C, Leone TJ, Hickam DH, OHSUMED: An interactive retrieval evaluation and new large test collection for research, Proceedings of the 17th Annual ACM SIGIR Conference, 1994, 192-201. Hersh WR, Hickam DH, Use of a multi-application computer workstation in a clinical setting, Bulletin of the Medical Library Association, 1994, 82: 382-389. ### Contributions Thanks to [@skyprince999](https://github.com/skyprince999) for adding this dataset.	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wiki_movies	null	2022-11-18T22:00:27Z	319	4	[ "task_categories:question-answering", "task_ids:closed-domain-qa", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:original", "language:en", "license:cc-by-3.0", "arxiv:1606.03126", "region:us" ]	[ "question-answering" ]	2022-03-02T23:29:22Z	--- pretty_name: WikiMovies annotations_creators: - crowdsourced language_creators: - crowdsourced language: - en license: - cc-by-3.0 multilinguality: - monolingual size_categories: - 100K<n<1M source_datasets: - original task_categories: - question-answering task_ids: - closed-domain-qa paperswithcode_id: wikimovies dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 7274490 num_examples: 96185 - name: test num_bytes: 755258 num_examples: 9952 - name: validation num_bytes: 754755 num_examples: 10000 download_size: 57070041 dataset_size: 8784503 --- # Dataset Card for WikiMovies ## 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: [WikiMovies Homepage](https://research.fb.com/downloads/babi/) - Repository: - Paper: [Key-Value Memory Networks for Directly Reading Documents](https://arxiv.org/pdf/1606.03126.pdf) - Leaderboard: - Point of Contact: ### Dataset Summary The WikiMovies dataset consists of roughly 100k (templated) questions over 75k entitiesbased on questions with answers in the open movie database (OMDb). It is the QA part of the Movie Dialog dataset. ### Supported Tasks and Leaderboards - Question Answering ### Languages The text in the dataset is written in English. ## Dataset Structure ### Data Instances The raw data consists of question answer pairs separated by a tab. Here are 3 examples: ```buildoutcfg 1 what does Grégoire Colin appear in? Before the Rain 1 Joe Thomas appears in which movies? The Inbetweeners Movie, The Inbetweeners 2 1 what films did Michelle Trachtenberg star in? Inspector Gadget, Black Christmas, Ice Princess, Harriet the Spy, The Scribbler ``` It is unclear what the `1` is for at the beginning of each line, but it has been removed in the `Dataset` object. ### Data Fields Here is an example of the raw data ingested by `Datasets`: ```buildoutcfg { 'answer': 'Before the Rain', 'question': 'what does Grégoire Colin appear in?' } ``` `answer`: a string containing the answer to a corresponding question. `question`: a string containing the relevant question. ### Data Splits The data is split into train, test, and dev sets. The split sizes are as follows: \| wiki-entities_qa_* \| n examples\| \| ----- \| ---- \| \| train.txt \| 96185 \| \| dev.txt \| 10000 \| \| test.txt \| 9952 \| ## Dataset Creation ### Curation Rationale WikiMovies was built with the following goals in mind: (i) machine learning techniques should have ample training examples for learning; and (ii) one can analyze easily the performance of different representations of knowledge and break down the results by question type. The datasetcan be downloaded fromhttp://fb.ai/babi ### 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 ``` @misc{miller2016keyvalue, title={Key-Value Memory Networks for Directly Reading Documents}, author={Alexander Miller and Adam Fisch and Jesse Dodge and Amir-Hossein Karimi and Antoine Bordes and Jason Weston}, year={2016}, eprint={1606.03126}, archivePrefix={arXiv}, primaryClass={cs.CL} ``` ### Contributions Thanks to [@aclifton314](https://github.com/aclifton314) for adding this dataset.	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LeoCordoba/CC-NEWS-ES-titles	LeoCordoba	2023-02-23T21:53:46Z	319	2	[ "task_categories:summarization", "task_categories:text-generation", "annotations_creators:no-annotation", "language_creators:found", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:cc-news", "language:es", "license:mit", "conditional-text-generation", "region:us" ]	[ "summarization", "text-generation" ]	2022-03-02T23:29:22Z	--- annotations_creators: - no-annotation language_creators: - found language: - es license: - mit multilinguality: - monolingual size_categories: - 100K<n<1M source_datasets: - cc-news task_categories: - summarization - text-generation task_ids: [] tags: - conditional-text-generation --- # Dataset Card for CC-NEWS-ES-titles ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: - Repository: [CC-NEWS-ES-titles dataset repository](https://huggingface.co/datasets/LeoCordoba/CC-NEWS-ES-titles) - Paper: - Leaderboard: - Point of Contact: [Leonardo Ignacio Córdoba](https://www.linkedin.com/in/leonardo-ignacio-c%C3%B3rdoba/) ### Dataset Summary CC-NEWS-ES-titles is a Spanish-language dataset for news titles generation. The text and titles comes from 2019 and 2020 CC-NEWS data (which is part of Common Crawl). It contains 402.310 pairs of news title and body, splitted in : - Train: 370.125 - Eval: 16.092 - Test: 16.092 ### Supported Tasks and Leaderboards - `text-classification`, `sentiment-classification`: The dataset can be used to train a model for news title generation which can be considered a subset of abstractive summarization. ### Languages The text is in Spanish. The BCP-47 code for Spanish is es. ## Dataset Structure ### Data Instances Each data instance contains the following features: _text_ and _output_text_. - _text_ is the body of the news. - _output_text_ is the title of the news. An example from the CC-NEWS-ES-titles train set looks like the following: ``` {'text': 'Hoy en el Boletín Oficial también se publicó la disposición para universidades, institutos universitarios y de educación superior de todas las jurisdicciones, a las que recomienda que "adecúen las condiciones en que se desarrolla la actividad académica presencial en el marco de la emergencia conforme con las recomendaciones del Ministerio de Salud", según lo publicado por la agencia ', 'output_text': 'Coronavirus: "Seguimos educando", la plataforma online para que los chicos estudien en cuarentena'} ``` ### Data Fields - 'text': a string containing the body of the news. - 'output_text': a string containing the title of the news. ### Data Splits The CC-NEWS-ES-titles dataset has 3 splits: _train_, _validation_, and _test_. The splits contain disjoint sets of news. \| Dataset Split \| Number of Instances in Split \| \| ------------- \| ---------------------------- \| \| Train \| 370.125 \| \| Eval \| 16.092 \| \| Test \| 16.092 \| ## Dataset Creation ### Curation Rationale [N/A] ### Source Data #### Initial Data Collection and Normalization TODO #### Who are the source language producers? Common Crawl: https://commoncrawl.org/ ### Annotations The dataset does not contain any additional annotations. #### Annotation process [N/A] #### Who are the annotators? [N/A] ### Personal and Sensitive Information [N/A] ## Considerations for Using the Data ### Social Impact of Dataset Abstractive summarization is a complex task and Spanish is a underrepresented language in the NLP domain. As a consequence, adding a Spanish resource may help others to improve their research and educational activities. ### Discussion of Biases [N/A] ### Other Known Limitations [N/A] ## Additional Information ### Dataset Curators This dataset is maintained by [Leonardo Ignacio Córdoba](https://www.linkedin.com/in/leonardo-ignacio-c%C3%B3rdoba/) and was built with the help of [María Gaska](https://www.linkedin.com/in/mfgaska/). ### Licensing Information [N/A] ### Citation Information TODO ### Contributions [N/A]	[ -0.41531479358673096, -0.49279025197029114, 0.23782257735729218, 0.41252419352531433, -0.5206285715103149, 0.309640109539032, -0.42556509375572205, -0.27614259719848633, 0.5558581948280334, 0.4087967276573181, -0.7705828547477722, -1.1678192615509033, -0.56125807762146, 0.2425030916929245, -0.31452676653862, 1.45797598361969, 0.10456398874521255, 0.00676514720544219, -0.1285773664712906, -0.05480468273162842, -0.09311569482088089, -0.39674344658851624, -0.6321746706962585, 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open-llm-leaderboard/details_yeontaek__Platypus2xOpenOrca-13B-IA3-ensemble	open-llm-leaderboard	2023-08-27T12:45:22Z	319	0	[ "region:us" ]	null	2023-08-27T12:10:48Z	--- pretty_name: Evaluation run of yeontaek/Platypus2xOpenOrca-13B-IA3-ensemble dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [yeontaek/Platypus2xOpenOrca-13B-IA3-ensemble](https://huggingface.co/yeontaek/Platypus2xOpenOrca-13B-IA3-ensemble)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 60 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_yeontaek__Platypus2xOpenOrca-13B-IA3-ensemble\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-08-23T14:48:47.168259](https://huggingface.co/datasets/open-llm-leaderboard/details_yeontaek__Platypus2xOpenOrca-13B-IA3-ensemble/blob/main/results_2023-08-23T14%3A48%3A47.168259.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\": 0.591031165151078,\n\ \ \"acc_stderr\": 0.033910448517384374,\n \"acc_norm\": 0.5951164394626702,\n\ \ \"acc_norm_stderr\": 0.033889044058760844,\n \"mc1\": 0.3317013463892289,\n\ \ \"mc1_stderr\": 0.016482148810241477,\n \"mc2\": 0.47461350738527963,\n\ \ \"mc2_stderr\": 0.015202805791318129\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5844709897610921,\n \"acc_stderr\": 0.014401366641216386,\n\ \ \"acc_norm\": 0.621160409556314,\n \"acc_norm_stderr\": 0.014175915490000326\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6185022903804023,\n\ \ \"acc_stderr\": 0.004847615216473461,\n \"acc_norm\": 0.8228440549691296,\n\ \ \"acc_norm_stderr\": 0.0038102033089010925\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.4740740740740741,\n\ \ \"acc_stderr\": 0.04313531696750574,\n \"acc_norm\": 0.4740740740740741,\n\ \ \"acc_norm_stderr\": 0.04313531696750574\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.625,\n \"acc_stderr\": 0.039397364351956274,\n \ \ \"acc_norm\": 0.625,\n \"acc_norm_stderr\": 0.039397364351956274\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.59,\n\ \ \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\": 0.59,\n \ \ \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6150943396226415,\n \"acc_stderr\": 0.02994649856769995,\n\ \ \"acc_norm\": 0.6150943396226415,\n \"acc_norm_stderr\": 0.02994649856769995\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6805555555555556,\n\ \ \"acc_stderr\": 0.038990736873573344,\n \"acc_norm\": 0.6805555555555556,\n\ \ \"acc_norm_stderr\": 0.038990736873573344\n },\n \"harness\|hendrycksTest-college_chemistry\|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-college_computer_science\|5\": {\n \"acc\"\ : 0.43,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\": 0.43,\n\ \ \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5664739884393064,\n\ \ \"acc_stderr\": 0.03778621079092055,\n \"acc_norm\": 0.5664739884393064,\n\ \ \"acc_norm_stderr\": 0.03778621079092055\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.04810840148082636,\n\ \ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.04810840148082636\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\": 0.48936170212765956,\n \"acc_stderr\": 0.03267862331014063,\n\ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.03267862331014063\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\": 0.5241379310344828,\n \"acc_stderr\": 0.041618085035015295,\n\ \ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.041618085035015295\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.34656084656084657,\n \"acc_stderr\": 0.02450877752102842,\n \"\ acc_norm\": 0.34656084656084657,\n \"acc_norm_stderr\": 0.02450877752102842\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.36507936507936506,\n\ \ \"acc_stderr\": 0.04306241259127153,\n \"acc_norm\": 0.36507936507936506,\n\ \ \"acc_norm_stderr\": 0.04306241259127153\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\"\ : 0.7064516129032258,\n \"acc_stderr\": 0.025906087021319295,\n \"\ acc_norm\": 0.7064516129032258,\n \"acc_norm_stderr\": 0.025906087021319295\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.43842364532019706,\n \"acc_stderr\": 0.03491207857486519,\n \"\ acc_norm\": 0.43842364532019706,\n \"acc_norm_stderr\": 0.03491207857486519\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.61,\n \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\"\ : 0.61,\n \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7333333333333333,\n \"acc_stderr\": 0.03453131801885415,\n\ \ \"acc_norm\": 0.7333333333333333,\n \"acc_norm_stderr\": 0.03453131801885415\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7777777777777778,\n \"acc_stderr\": 0.02962022787479048,\n \"\ acc_norm\": 0.7777777777777778,\n \"acc_norm_stderr\": 0.02962022787479048\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8186528497409327,\n \"acc_stderr\": 0.02780703236068609,\n\ \ \"acc_norm\": 0.8186528497409327,\n \"acc_norm_stderr\": 0.02780703236068609\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5871794871794872,\n \"acc_stderr\": 0.024962683564331806,\n\ \ \"acc_norm\": 0.5871794871794872,\n \"acc_norm_stderr\": 0.024962683564331806\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.2851851851851852,\n \"acc_stderr\": 0.027528599210340496,\n \ \ \"acc_norm\": 0.2851851851851852,\n \"acc_norm_stderr\": 0.027528599210340496\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6386554621848739,\n \"acc_stderr\": 0.03120469122515002,\n \ \ \"acc_norm\": 0.6386554621848739,\n \"acc_norm_stderr\": 0.03120469122515002\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.33774834437086093,\n \"acc_stderr\": 0.03861557546255169,\n \"\ acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.03861557546255169\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7761467889908257,\n \"acc_stderr\": 0.017871217767790215,\n \"\ acc_norm\": 0.7761467889908257,\n \"acc_norm_stderr\": 0.017871217767790215\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.49537037037037035,\n \"acc_stderr\": 0.03409825519163572,\n \"\ acc_norm\": 0.49537037037037035,\n \"acc_norm_stderr\": 0.03409825519163572\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.8382352941176471,\n \"acc_stderr\": 0.025845017986926917,\n \"\ acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.025845017986926917\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7679324894514767,\n \"acc_stderr\": 0.02747974455080851,\n \ \ \"acc_norm\": 0.7679324894514767,\n \"acc_norm_stderr\": 0.02747974455080851\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.672645739910314,\n\ \ \"acc_stderr\": 0.031493846709941306,\n \"acc_norm\": 0.672645739910314,\n\ \ \"acc_norm_stderr\": 0.031493846709941306\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.6946564885496184,\n \"acc_stderr\": 0.04039314978724561,\n\ \ \"acc_norm\": 0.6946564885496184,\n \"acc_norm_stderr\": 0.04039314978724561\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7272727272727273,\n \"acc_stderr\": 0.04065578140908705,\n \"\ acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.04065578140908705\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\": 0.6809815950920245,\n \"acc_stderr\": 0.03661997551073836,\n\ \ \"acc_norm\": 0.6809815950920245,\n \"acc_norm_stderr\": 0.03661997551073836\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.33035714285714285,\n\ \ \"acc_stderr\": 0.04464285714285714,\n \"acc_norm\": 0.33035714285714285,\n\ \ \"acc_norm_stderr\": 0.04464285714285714\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8461538461538461,\n\ \ \"acc_stderr\": 0.02363687331748927,\n \"acc_norm\": 0.8461538461538461,\n\ \ \"acc_norm_stderr\": 0.02363687331748927\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \ \ \"acc_norm\": 0.54,\n \"acc_norm_stderr\": 0.05009082659620332\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.7547892720306514,\n\ \ \"acc_stderr\": 0.015384352284543941,\n \"acc_norm\": 0.7547892720306514,\n\ \ \"acc_norm_stderr\": 0.015384352284543941\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6473988439306358,\n \"acc_stderr\": 0.025722802200895803,\n\ \ \"acc_norm\": 0.6473988439306358,\n \"acc_norm_stderr\": 0.025722802200895803\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.4491620111731844,\n\ \ \"acc_stderr\": 0.01663583834163192,\n \"acc_norm\": 0.4491620111731844,\n\ \ \"acc_norm_stderr\": 0.01663583834163192\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6209150326797386,\n \"acc_stderr\": 0.027780141207023337,\n\ \ \"acc_norm\": 0.6209150326797386,\n \"acc_norm_stderr\": 0.027780141207023337\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6430868167202572,\n\ \ \"acc_stderr\": 0.027210420375934023,\n \"acc_norm\": 0.6430868167202572,\n\ \ \"acc_norm_stderr\": 0.027210420375934023\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6728395061728395,\n \"acc_stderr\": 0.026105673861409828,\n\ \ \"acc_norm\": 0.6728395061728395,\n \"acc_norm_stderr\": 0.026105673861409828\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4716312056737589,\n \"acc_stderr\": 0.029779450957303055,\n \ \ \"acc_norm\": 0.4716312056737589,\n \"acc_norm_stderr\": 0.029779450957303055\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4517601043024772,\n\ \ \"acc_stderr\": 0.012710662233660247,\n \"acc_norm\": 0.4517601043024772,\n\ \ \"acc_norm_stderr\": 0.012710662233660247\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.5661764705882353,\n \"acc_stderr\": 0.03010563657001663,\n\ \ \"acc_norm\": 0.5661764705882353,\n \"acc_norm_stderr\": 0.03010563657001663\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6029411764705882,\n \"acc_stderr\": 0.019794488900024124,\n \ \ \"acc_norm\": 0.6029411764705882,\n \"acc_norm_stderr\": 0.019794488900024124\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6363636363636364,\n\ \ \"acc_stderr\": 0.04607582090719976,\n \"acc_norm\": 0.6363636363636364,\n\ \ \"acc_norm_stderr\": 0.04607582090719976\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.6857142857142857,\n \"acc_stderr\": 0.02971932942241748,\n\ \ \"acc_norm\": 0.6857142857142857,\n \"acc_norm_stderr\": 0.02971932942241748\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.7661691542288557,\n\ \ \"acc_stderr\": 0.02992941540834839,\n \"acc_norm\": 0.7661691542288557,\n\ \ \"acc_norm_stderr\": 0.02992941540834839\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036625,\n \ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036625\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.46987951807228917,\n\ \ \"acc_stderr\": 0.03885425420866767,\n \"acc_norm\": 0.46987951807228917,\n\ \ \"acc_norm_stderr\": 0.03885425420866767\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8011695906432749,\n \"acc_stderr\": 0.030611116557432528,\n\ \ \"acc_norm\": 0.8011695906432749,\n \"acc_norm_stderr\": 0.030611116557432528\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.3317013463892289,\n\ \ \"mc1_stderr\": 0.016482148810241477,\n \"mc2\": 0.47461350738527963,\n\ \ \"mc2_stderr\": 0.015202805791318129\n }\n}\n```" repo_url: https://huggingface.co/yeontaek/Platypus2xOpenOrca-13B-IA3-ensemble 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_23T14_48_47.168259 path: - '/details_harness\|arc:challenge\|25_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hellaswag\|10_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-23T14:48:47.168259.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-23T14:48:47.168259.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_23T14_48_47.168259 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-23T14:48:47.168259.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-23T14:48:47.168259.parquet' --- # Dataset Card for Evaluation run of yeontaek/Platypus2xOpenOrca-13B-IA3-ensemble ## Dataset Description - Homepage: - Repository: https://huggingface.co/yeontaek/Platypus2xOpenOrca-13B-IA3-ensemble - 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 [yeontaek/Platypus2xOpenOrca-13B-IA3-ensemble](https://huggingface.co/yeontaek/Platypus2xOpenOrca-13B-IA3-ensemble) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 60 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_yeontaek__Platypus2xOpenOrca-13B-IA3-ensemble", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-08-23T14:48:47.168259](https://huggingface.co/datasets/open-llm-leaderboard/details_yeontaek__Platypus2xOpenOrca-13B-IA3-ensemble/blob/main/results_2023-08-23T14%3A48%3A47.168259.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": 0.591031165151078, "acc_stderr": 0.033910448517384374, "acc_norm": 0.5951164394626702, "acc_norm_stderr": 0.033889044058760844, "mc1": 0.3317013463892289, "mc1_stderr": 0.016482148810241477, "mc2": 0.47461350738527963, "mc2_stderr": 0.015202805791318129 }, "harness\|arc:challenge\|25": { "acc": 0.5844709897610921, "acc_stderr": 0.014401366641216386, "acc_norm": 0.621160409556314, "acc_norm_stderr": 0.014175915490000326 }, "harness\|hellaswag\|10": { "acc": 0.6185022903804023, "acc_stderr": 0.004847615216473461, "acc_norm": 0.8228440549691296, "acc_norm_stderr": 0.0038102033089010925 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.4740740740740741, "acc_stderr": 0.04313531696750574, "acc_norm": 0.4740740740740741, "acc_norm_stderr": 0.04313531696750574 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.625, "acc_stderr": 0.039397364351956274, "acc_norm": 0.625, "acc_norm_stderr": 0.039397364351956274 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6150943396226415, "acc_stderr": 0.02994649856769995, "acc_norm": 0.6150943396226415, "acc_norm_stderr": 0.02994649856769995 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6805555555555556, "acc_stderr": 0.038990736873573344, "acc_norm": 0.6805555555555556, "acc_norm_stderr": 0.038990736873573344 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.43, "acc_stderr": 0.04975698519562428, "acc_norm": 0.43, "acc_norm_stderr": 0.04975698519562428 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5664739884393064, "acc_stderr": 0.03778621079092055, "acc_norm": 0.5664739884393064, "acc_norm_stderr": 0.03778621079092055 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.37254901960784315, "acc_stderr": 0.04810840148082636, "acc_norm": 0.37254901960784315, "acc_norm_stderr": 0.04810840148082636 }, "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": 0.48936170212765956, "acc_stderr": 0.03267862331014063, "acc_norm": 0.48936170212765956, "acc_norm_stderr": 0.03267862331014063 }, "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": 0.5241379310344828, "acc_stderr": 0.041618085035015295, "acc_norm": 0.5241379310344828, "acc_norm_stderr": 0.041618085035015295 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.34656084656084657, "acc_stderr": 0.02450877752102842, "acc_norm": 0.34656084656084657, "acc_norm_stderr": 0.02450877752102842 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.36507936507936506, "acc_stderr": 0.04306241259127153, "acc_norm": 0.36507936507936506, "acc_norm_stderr": 0.04306241259127153 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7064516129032258, "acc_stderr": 0.025906087021319295, "acc_norm": 0.7064516129032258, "acc_norm_stderr": 0.025906087021319295 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.43842364532019706, "acc_stderr": 0.03491207857486519, "acc_norm": 0.43842364532019706, "acc_norm_stderr": 0.03491207857486519 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.61, "acc_stderr": 0.04902071300001975, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001975 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7333333333333333, "acc_stderr": 0.03453131801885415, "acc_norm": 0.7333333333333333, "acc_norm_stderr": 0.03453131801885415 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7777777777777778, "acc_stderr": 0.02962022787479048, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.02962022787479048 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8186528497409327, "acc_stderr": 0.02780703236068609, "acc_norm": 0.8186528497409327, "acc_norm_stderr": 0.02780703236068609 }, 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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]	[ -0.740165650844574, -0.814530074596405, 0.2767895758152008, 0.2038135975599289, -0.15423539280891418, -0.06614159792661667, -0.016002176329493523, -0.25808799266815186, 0.5522240996360779, -0.06400968879461288, -0.5070112943649292, -0.6701040863990784, -0.4135551452636719, 0.217340350151062, -0.05049692839384079, 0.8284967541694641, -0.1996309757232666, -0.11939090490341187, 0.08759348839521408, -0.04341857135295868, -0.25524604320526123, -0.33684995770454407, -0.459273099899292, 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smangrul/assistant_chatbot_dataset	smangrul	2023-11-17T14:46:33Z	319	1	[ "license:unknown", "region:us" ]	null	2023-11-17T14:45:52Z	--- license: unknown ---	[ -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, 0.8275899291038513, 0.3960294723510742, 0.503056526184082, 1.7515552043914795, -0.08836923539638519, -0.22754432260990143, -0.458920419216156, 0.4223068356513977, -0.3327738642692566, -0.4213368892669678, -0.26241645216941833, -0.0744934156537056, 0.32380396127700806, 0.7903715372085571, 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open-llm-leaderboard/details_StudentLLM__Alpagasus-2-13b-QLoRA-merged	open-llm-leaderboard	2023-10-27T20:12:48Z	318	0	[ "region:us" ]	null	2023-09-11T18:18:37Z	--- pretty_name: Evaluation run of StudentLLM/Alpagasus-2-13b-QLoRA-merged dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [StudentLLM/Alpagasus-2-13b-QLoRA-merged](https://huggingface.co/StudentLLM/Alpagasus-2-13b-QLoRA-merged)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 4 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_StudentLLM__Alpagasus-2-13b-QLoRA-merged\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-27T20:12:36.073167](https://huggingface.co/datasets/open-llm-leaderboard/details_StudentLLM__Alpagasus-2-13b-QLoRA-merged/blob/main/results_2023-10-27T20-12-36.073167.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.001572986577181208,\n\ \ \"em_stderr\": 0.000405845113241773,\n \"f1\": 0.06265939597315423,\n\ \ \"f1_stderr\": 0.001378921060077413,\n \"acc\": 0.4424643648503177,\n\ \ \"acc_stderr\": 0.010216085204246378\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.001572986577181208,\n \"em_stderr\": 0.000405845113241773,\n\ \ \"f1\": 0.06265939597315423,\n \"f1_stderr\": 0.001378921060077413\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.11144806671721001,\n \ \ \"acc_stderr\": 0.008668021353794427\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7734806629834254,\n \"acc_stderr\": 0.011764149054698329\n\ \ }\n}\n```" repo_url: https://huggingface.co/StudentLLM/Alpagasus-2-13b-QLoRA-merged 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_11T18_18_21.353761 path: - '/details_harness\|arc:challenge\|25_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|arc:challenge\|25_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-21T21-35-59.433556.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_26T10_45_15.535939 path: - '/details_harness\|drop\|3_2023-10-26T10-45-15.535939.parquet' - split: 2023_10_27T20_12_36.073167 path: - '/details_harness\|drop\|3_2023-10-27T20-12-36.073167.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-27T20-12-36.073167.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_26T10_45_15.535939 path: - '/details_harness\|gsm8k\|5_2023-10-26T10-45-15.535939.parquet' - split: 2023_10_27T20_12_36.073167 path: - '/details_harness\|gsm8k\|5_2023-10-27T20-12-36.073167.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-27T20-12-36.073167.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hellaswag\|10_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hellaswag\|10_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-11T18-18-21.353761.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-21T21-35-59.433556.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-21T21-35-59.433556.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_11T18_18_21.353761 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-11T18-18-21.353761.parquet' - split: 2023_09_21T21_35_59.433556 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-21T21-35-59.433556.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-21T21-35-59.433556.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_26T10_45_15.535939 path: - '/details_harness\|winogrande\|5_2023-10-26T10-45-15.535939.parquet' - split: 2023_10_27T20_12_36.073167 path: - '/details_harness\|winogrande\|5_2023-10-27T20-12-36.073167.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-27T20-12-36.073167.parquet' - config_name: results data_files: - split: 2023_09_11T18_18_21.353761 path: - results_2023-09-11T18-18-21.353761.parquet - split: 2023_09_21T21_35_59.433556 path: - results_2023-09-21T21-35-59.433556.parquet - split: 2023_10_26T10_45_15.535939 path: - results_2023-10-26T10-45-15.535939.parquet - split: 2023_10_27T20_12_36.073167 path: - results_2023-10-27T20-12-36.073167.parquet - split: latest path: - results_2023-10-27T20-12-36.073167.parquet --- # Dataset Card for Evaluation run of StudentLLM/Alpagasus-2-13b-QLoRA-merged ## Dataset Description - Homepage: - Repository: https://huggingface.co/StudentLLM/Alpagasus-2-13b-QLoRA-merged - 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 [StudentLLM/Alpagasus-2-13b-QLoRA-merged](https://huggingface.co/StudentLLM/Alpagasus-2-13b-QLoRA-merged) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 4 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_StudentLLM__Alpagasus-2-13b-QLoRA-merged", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-27T20:12:36.073167](https://huggingface.co/datasets/open-llm-leaderboard/details_StudentLLM__Alpagasus-2-13b-QLoRA-merged/blob/main/results_2023-10-27T20-12-36.073167.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.001572986577181208, "em_stderr": 0.000405845113241773, "f1": 0.06265939597315423, "f1_stderr": 0.001378921060077413, "acc": 0.4424643648503177, "acc_stderr": 0.010216085204246378 }, "harness\|drop\|3": { "em": 0.001572986577181208, "em_stderr": 0.000405845113241773, "f1": 0.06265939597315423, "f1_stderr": 0.001378921060077413 }, "harness\|gsm8k\|5": { "acc": 0.11144806671721001, "acc_stderr": 0.008668021353794427 }, "harness\|winogrande\|5": { "acc": 0.7734806629834254, "acc_stderr": 0.011764149054698329 } } ``` ### 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]	[ -0.43505823612213135, -0.600642740726471, 0.19560186564922333, 0.14532403647899628, -0.17490166425704956, 0.14377807080745697, -0.3606642186641693, -0.2249211072921753, 0.38968104124069214, 0.541638195514679, -0.713714599609375, -0.8850282430648804, -0.5996750593185425, 0.09982866048812866, -0.25056731700897217, 1.2150202989578247, -0.23557282984256744, -0.1370725929737091, 0.0851779580116272, -0.32882967591285706, -0.3576894998550415, -0.41959434747695923, -0.5553261637687683, 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open-llm-leaderboard/details_vikp__phi2	open-llm-leaderboard	2023-10-26T20:54:05Z	318	0	[ "region:us" ]	null	2023-10-04T03:36:28Z	--- pretty_name: Evaluation run of vikp/phi2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [vikp/phi2](https://huggingface.co/vikp/phi2) 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_vikp__phi2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-26T20:53:51.880388](https://huggingface.co/datasets/open-llm-leaderboard/details_vikp__phi2/blob/main/results_2023-10-26T20-53-51.880388.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\": 0.0005243288590604027,\n\ \ \"em_stderr\": 0.00023443780464835683,\n \"f1\": 0.02841547818791949,\n\ \ \"f1_stderr\": 0.0009543917019203069,\n \"acc\": 0.2634748167903622,\n\ \ \"acc_stderr\": 0.008154316883299411\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0005243288590604027,\n \"em_stderr\": 0.00023443780464835683,\n\ \ \"f1\": 0.02841547818791949,\n \"f1_stderr\": 0.0009543917019203069\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.006823351023502654,\n \ \ \"acc_stderr\": 0.002267537102254493\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.5201262825572218,\n \"acc_stderr\": 0.014041096664344329\n\ \ }\n}\n```" repo_url: https://huggingface.co/vikp/phi2 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_04T03_36_11.040901 path: - '/details_harness\|arc:challenge\|25_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-04T03-36-11.040901.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_26T20_53_51.880388 path: - '/details_harness\|drop\|3_2023-10-26T20-53-51.880388.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-26T20-53-51.880388.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_26T20_53_51.880388 path: - '/details_harness\|gsm8k\|5_2023-10-26T20-53-51.880388.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-26T20-53-51.880388.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hellaswag\|10_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T03-36-11.040901.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T03-36-11.040901.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_04T03_36_11.040901 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-04T03-36-11.040901.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-04T03-36-11.040901.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_26T20_53_51.880388 path: - '/details_harness\|winogrande\|5_2023-10-26T20-53-51.880388.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-26T20-53-51.880388.parquet' - config_name: results data_files: - split: 2023_10_04T03_36_11.040901 path: - results_2023-10-04T03-36-11.040901.parquet - split: 2023_10_26T20_53_51.880388 path: - results_2023-10-26T20-53-51.880388.parquet - split: latest path: - results_2023-10-26T20-53-51.880388.parquet --- # Dataset Card for Evaluation run of vikp/phi2 ## Dataset Description - Homepage: - Repository: https://huggingface.co/vikp/phi2 - 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 [vikp/phi2](https://huggingface.co/vikp/phi2) 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_vikp__phi2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-26T20:53:51.880388](https://huggingface.co/datasets/open-llm-leaderboard/details_vikp__phi2/blob/main/results_2023-10-26T20-53-51.880388.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": 0.0005243288590604027, "em_stderr": 0.00023443780464835683, "f1": 0.02841547818791949, "f1_stderr": 0.0009543917019203069, "acc": 0.2634748167903622, "acc_stderr": 0.008154316883299411 }, "harness\|drop\|3": { "em": 0.0005243288590604027, "em_stderr": 0.00023443780464835683, "f1": 0.02841547818791949, "f1_stderr": 0.0009543917019203069 }, "harness\|gsm8k\|5": { "acc": 0.006823351023502654, "acc_stderr": 0.002267537102254493 }, "harness\|winogrande\|5": { "acc": 0.5201262825572218, "acc_stderr": 0.014041096664344329 } } ``` ### 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]	[ -0.31029659509658813, -0.5943302512168884, 0.14643192291259766, 0.30411043763160706, -0.20617933571338654, 0.012604488991200924, -0.32398444414138794, -0.2078803926706314, 0.3745613992214203, 0.5655804872512817, -0.6447756886482239, -0.83185213804245, -0.6588935852050781, 0.06745745241641998, -0.11417239904403687, 1.0206876993179321, -0.19135220348834991, -0.1701086461544037, 0.043760765343904495, -0.24773672223091125, -0.35115545988082886, -0.40211203694343567, -0.42847973108291626, 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isixhosa_ner_corpus	null	2023-01-25T14:33:10Z	317	0	[ "task_categories:token-classification", "task_ids:named-entity-recognition", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:xh", "license:other", "region:us" ]	[ "token-classification" ]	2022-03-02T23:29:22Z	--- annotations_creators: - expert-generated language_creators: - expert-generated language: - xh license: - other multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - token-classification task_ids: - named-entity-recognition pretty_name: IsixhosaNerCorpus license_details: Creative Commons Attribution 2.5 South Africa License dataset_info: features: - name: id dtype: string - name: tokens sequence: string - name: ner_tags sequence: class_label: names: '0': OUT '1': B-PERS '2': I-PERS '3': B-ORG '4': I-ORG '5': B-LOC '6': I-LOC '7': B-MISC '8': I-MISC config_name: isixhosa_ner_corpus splits: - name: train num_bytes: 2414995 num_examples: 6284 download_size: 14513302 dataset_size: 2414995 --- # Dataset Card for [Dataset Name] ## 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: [IsiXhosa Ner Corpus Homepage](https://repo.sadilar.org/handle/20.500.12185/312) - Repository: - Paper: - Leaderboard: - Point of Contact: [Martin Puttkammer](mailto:[email protected]) ### Dataset Summary The isiXhosa Ner Corpus is a Xhosa dataset developed by [The Centre for Text Technology (CTexT), North-West University, South Africa](http://humanities.nwu.ac.za/ctext). The data is based on documents from the South African goverment domain and crawled from gov.za websites. It was created to support NER task for Xhosa language. The dataset uses CoNLL shared task annotation standards. ### Supported Tasks and Leaderboards [More Information Needed] ### Languages The language supported is Xhosa. ## Dataset Structure ### Data Instances A data point consists of sentences seperated by empty line and tab-seperated tokens and tags. {'id': '0', 'ner_tags': [7, 8, 5, 6, 0], 'tokens': ['Injongo', 'ye-website', 'yaseMzantsi', 'Afrika', 'kukuvelisa'] } ### Data Fields - `id`: id of the sample - `tokens`: the tokens of the example text - `ner_tags`: the NER tags of each token The NER tags correspond to this list: ``` "OUT", "B-PERS", "I-PERS", "B-ORG", "I-ORG", "B-LOC", "I-LOC", "B-MISC", "I-MISC", ``` The NER tags have the same format as in the CoNLL shared task: a B denotes the first item of a phrase and an I any non-initial word. There are four types of phrases: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). (OUT) is used for tokens not considered part of any named entity. ### Data Splits The data was not split. ## Dataset Creation ### Curation Rationale The data was created to help introduce resources to new language - Xhosa. [More Information Needed] ### Source Data #### Initial Data Collection and Normalization The data is based on South African government domain and was crawled from gov.za websites. [More Information Needed] #### Who are the source language producers? The data was produced by writers of South African government websites - gov.za [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? The data was annotated during the NCHLT text resource development project. [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 The annotated data sets were developed by the Centre for Text Technology (CTexT, North-West University, South Africa). See: [more information](http://www.nwu.ac.za/ctext) ### Licensing Information The data is under the [Creative Commons Attribution 2.5 South Africa License](http://creativecommons.org/licenses/by/2.5/za/legalcode) ### Citation Information ``` @inproceedings{isixhosa_ner_corpus, author = { K. Podile and Roald Eiselen}, title = {NCHLT isiXhosa Named Entity Annotated Corpus}, booktitle = {Eiselen, R. 2016. Government domain named entity recognition for South African languages. Proceedings of the 10th Language Resource and Evaluation Conference, Portorož, Slovenia.}, year = {2016}, url = {https://repo.sadilar.org/handle/20.500.12185/312}, } ``` ### Contributions Thanks to [@yvonnegitau](https://github.com/yvonnegitau) for adding this dataset.	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librispeech_lm	null	2023-04-05T10:09:21Z	317	0	[ "task_categories:text-generation", "task_ids:language-modeling", "annotations_creators:no-annotation", "language_creators:found", "multilinguality:monolingual", "size_categories:10M<n<100M", "source_datasets:original", "language:en", "license:cc0-1.0", "region:us" ]	[ "text-generation" ]	2022-03-02T23:29:22Z	--- annotations_creators: - no-annotation language: - en language_creators: - found license: - cc0-1.0 multilinguality: - monolingual pretty_name: LibrispeechLm size_categories: - 10M<n<100M source_datasets: - original task_categories: - text-generation task_ids: - language-modeling paperswithcode_id: null dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 4418577129 num_examples: 40418260 download_size: 1507274412 dataset_size: 4418577129 --- # Dataset Card for "librispeech_lm" ## 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: [http://www.openslr.org/11](http://www.openslr.org/11) - Repository: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of downloaded dataset files: 1.51 GB - Size of the generated dataset: 4.42 GB - Total amount of disk used: 5.93 GB ### Dataset Summary Language modeling resources to be used in conjunction with the LibriSpeech ASR corpus. ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances #### default - Size of downloaded dataset files: 1.51 GB - Size of the generated dataset: 4.42 GB - Total amount of disk used: 5.93 GB An example of 'train' looks as follows. ``` { "text": "This is a test file" } ``` ### Data Fields The data fields are the same among all splits. #### default - `text`: a `string` feature. ### Data Splits \| name \| train \| \|-------\|-------:\| \|default\|40418260\| ## 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{panayotov2015librispeech, title={Librispeech: an ASR corpus based on public domain audio books}, author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev}, booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on}, pages={5206--5210}, year={2015}, organization={IEEE} } ``` ### Contributions Thanks to [@lewtun](https://github.com/lewtun), [@jplu](https://github.com/jplu), [@thomwolf](https://github.com/thomwolf) for adding this dataset.	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metrec	null	2023-01-25T14:40:27Z	317	2	[ "task_categories:text-classification", "annotations_creators:no-annotation", "language_creators:found", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:ar", "license:unknown", "poetry-classification", "region:us" ]	[ "text-classification" ]	2022-03-02T23:29:22Z	--- annotations_creators: - no-annotation language_creators: - found language: - ar license: - unknown multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - text-classification task_ids: [] paperswithcode_id: metrec pretty_name: MetRec tags: - poetry-classification dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': saree '1': kamel '2': mutakareb '3': mutadarak '4': munsareh '5': madeed '6': mujtath '7': ramal '8': baseet '9': khafeef '10': taweel '11': wafer '12': hazaj '13': rajaz config_name: plain_text splits: - name: train num_bytes: 5874919 num_examples: 47124 - name: test num_bytes: 1037577 num_examples: 8316 download_size: 2267882 dataset_size: 6912496 --- # Dataset Card for MetRec ## 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: [Metrec](https://github.com/zaidalyafeai/MetRec) - Repository: [Metrec repository](https://github.com/zaidalyafeai/MetRec) - Paper: [MetRec: A dataset for meter classification of arabic poetry](https://www.sciencedirect.com/science/article/pii/S2352340920313792) - Point of Contact: [Zaid Alyafeai](mailto:[email protected]) ### Dataset Summary The dataset contains the verses and their corresponding meter classes. Meter classes are represented as numbers from 0 to 13. The dataset can be highly useful for further research in order to improve the field of Arabic poems’ meter classification. The train dataset contains 47,124 records and the test dataset contains 8,316 records. ### Supported Tasks and Leaderboards The dataset was published on this [paper](https://www.sciencedirect.com/science/article/pii/S2352340920313792). A benchmark is acheived on this [paper](https://www.sciencedirect.com/science/article/pii/S016786552030204X). ### Languages The dataset is based on Arabic. ## Dataset Structure ### Data Instances A typical data point comprises a label which is out of 13 classes and a verse part of poem. ### Data Fields [N/A] ### Data Splits The data is split into a training and testing. The split is organized as the following \| \| train \| test \| \|------------\|-------:\|------:\| \| data split \| 47,124 \| 8,316 \| ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data [More Information Needed] #### Initial Data Collection and Normalization The dataset was collected from [Aldiwan](https://www.aldiwan.net/). #### Who are the source language producers? The poems are from different poets. ### Annotations The dataset does not contain any additional 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] ``` @article{metrec2020, title={MetRec: A dataset for meter classification of arabic poetry}, author={Al-shaibani, Maged S and Alyafeai, Zaid and Ahmad, Irfan}, journal={Data in Brief}, year={2020}, publisher={Elsevier} } ``` ### Contributions Thanks to [@zaidalyafeai](https://github.com/zaidalyafeai) for adding this dataset.	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DDSC/lcc	DDSC	2023-07-20T19:43:29Z	317	3	[ "task_categories:text-classification", "task_ids:sentiment-classification", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:n<1K", "source_datasets:original", "language:da", "license:cc-by-4.0", "region:us" ]	[ "text-classification" ]	2022-03-02T23:29:22Z	--- annotations_creators: - expert-generated language_creators: - found language: - da license: - cc-by-4.0 multilinguality: - monolingual pretty_name: TwitterSent size_categories: - n<1K source_datasets: - original task_categories: - text-classification task_ids: - sentiment-classification --- # Dataset Card for LCC ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Repository: https://github.com/fnielsen/lcc-sentiment - Direct Download part 1: https://raw.githubusercontent.com/fnielsen/lcc-sentiment/master/dan_mixed_2014_10K-sentences.csv - Direct Download part 2: https://raw.githubusercontent.com/fnielsen/lcc-sentiment/master/dan_newscrawl_2011_10K-sentences.csv ### Dataset Summary This dataset consists of Danish data from [the Leipzig Collection](https://www.aclweb.org/anthology/L06-1396/) that has been annotated for sentiment analysis by Finn Årup Nielsen. ### Supported Tasks and Leaderboards This dataset is suitable for sentiment analysis. ### Languages This dataset is in Danish. ## Dataset Structure ### Data Instances Every entry in the dataset has a document and an associated label. ### Data Fields An entry in the dataset consists of the following fields: - `text` (`str`): The text content. - `label` (`str`): The label of the `text`. Can be "positiv", "neutral" or "negativ" for positive, neutral and negative sentiment, respectively. ### Data Splits A `train` and `test` split is available, with the test split being 30% of the dataset, randomly sampled in a stratified fashion. There are 349 documents in the training split and 150 in the test split. ## Additional Information ### Dataset Curators The collection and annotation of the dataset is solely due to the Finn Årup Nielsen. It was originally annotated as a score between -5 and +5, but the labels in this version have been converted to a negative, neutral and positive label. ### Licensing Information The dataset is released under the CC BY 4.0 license. ### Citation Information ``` @misc{lcc, title={LCC}, author={Finn Årup Nielsen}, year={2016}, note={\url{https://github.com/fnielsen/lcc-sentiment}} } ``` ### Contributions Thanks to [@saattrupdan](https://github.com/saattrupdan) for adding this dataset to the Hugging Face Hub.	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jxu124/refcocoplus	jxu124	2023-05-20T19:01:22Z	317	1	[ "region:us" ]	null	2023-05-20T19:00:40Z	--- dataset_info: features: - name: sent_ids sequence: int64 - name: file_name dtype: string - name: ann_id dtype: int64 - name: ref_id dtype: int64 - name: image_id dtype: int64 - name: split dtype: string - name: sentences list: - name: raw dtype: string - name: sent dtype: string - name: sent_id dtype: int64 - name: tokens sequence: string - name: category_id dtype: int64 - name: raw_anns dtype: string - name: raw_image_info dtype: string - name: raw_sentences dtype: string - name: image_path dtype: string - name: bbox sequence: float64 - name: captions sequence: string - name: global_image_id dtype: string - name: anns_id dtype: string splits: - name: train num_bytes: 81937869 num_examples: 42278 - name: testB num_bytes: 3273927 num_examples: 1798 - name: test num_bytes: 3969265 num_examples: 1975 - name: validation num_bytes: 7399541 num_examples: 3805 download_size: 39772801 dataset_size: 96580602 --- # Dataset Card for "refcocoplus" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.6387553811073303, -0.013546466827392578, 0.05018070712685585, 0.24954183399677277, -0.2761492431163788, -0.04325952008366585, 0.314488023519516, -0.29459816217422485, 0.9275577664375305, 0.6523857712745667, -0.9240661263465881, -0.6084334850311279, -0.3557688891887665, -0.03346141800284386, -0.27888187766075134, 1.3506340980529785, 0.004383308347314596, -0.041817180812358856, -0.6217871308326721, -0.2381504774093628, -0.46172842383384705, -0.4772370755672455, -0.6740869283676147, -0.7112969160079956, 0.9716574549674988, 1.0012816190719604, 0.34615176916122437, 0.3214673101902008, 0.8729079365730286, 0.21553242206573486, 0.18004445731639862, -0.08837418258190155, -0.4509891867637634, -0.03401640057563782, -0.5351031422615051, -0.6280462145805359, -0.9391528964042664, 0.17080959677696228, 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hitachi-nlp/FLD.v2	hitachi-nlp	2023-11-10T12:11:07Z	317	4	[ "region:us" ]	null	2023-08-24T09:44:21Z	--- dataset_info: - config_name: default features: - name: version dtype: string - name: hypothesis dtype: string - name: hypothesis_formula dtype: string - name: context dtype: string - name: context_formula dtype: string - name: proofs sequence: string - name: proofs_formula sequence: string - name: negative_hypothesis dtype: string - name: negative_hypothesis_formula dtype: string - name: negative_proofs sequence: string - name: negative_original_tree_depth dtype: int64 - name: original_tree_depth dtype: int64 - name: depth dtype: int64 - name: num_formula_distractors dtype: int64 - name: num_translation_distractors dtype: int64 - name: num_all_distractors dtype: int64 - name: proof_label dtype: string - name: negative_proof_label dtype: string - name: world_assump_label dtype: string - name: negative_world_assump_label dtype: string - name: prompt_serial dtype: string - name: proof_serial dtype: string splits: - name: train num_bytes: 103394163 num_examples: 30000 - name: validation num_bytes: 17205990 num_examples: 5000 - name: test num_bytes: 17215356 num_examples: 5000 download_size: 51122839 dataset_size: 137815509 - config_name: star features: - name: version dtype: string - name: hypothesis dtype: string - name: hypothesis_formula dtype: string - name: context dtype: string - name: context_formula dtype: string - name: proofs sequence: string - name: proofs_formula sequence: string - name: negative_hypothesis dtype: string - name: negative_hypothesis_formula dtype: string - name: negative_proofs sequence: string - name: negative_original_tree_depth dtype: int64 - name: original_tree_depth dtype: int64 - name: depth dtype: int64 - name: num_formula_distractors dtype: int64 - name: num_translation_distractors dtype: int64 - name: num_all_distractors dtype: int64 - name: proof_label dtype: string - name: negative_proof_label dtype: string - name: world_assump_label dtype: string - name: negative_world_assump_label dtype: string - name: prompt_serial dtype: string - name: proof_serial dtype: string splits: - name: train num_bytes: 129618848 num_examples: 30000 - name: validation num_bytes: 21529187 num_examples: 5000 - name: test num_bytes: 21731836 num_examples: 5000 download_size: 63147762 dataset_size: 172879871 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* - config_name: star data_files: - split: train path: star/train-* - split: validation path: star/validation-* - split: test path: star/test-* --- # Dataset Card for "FLD.v2" To train a casual language model, simply use "prompt_serial" column for the model input and "proof_serial" for the output. For more info, see [our project page](https://github.com/hitachi-nlp/FLD/). [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.3660273849964142, -0.6523978114128113, 0.10329586267471313, 0.12477023154497147, -0.41551530361175537, -0.009100004099309444, -0.255004346370697, -0.17047220468521118, 0.1158573105931282, 0.44949889183044434, -0.7186992764472961, -0.6152267456054688, -0.33804190158843994, -0.015570597723126411, -0.32783180475234985, 1.3224668502807617, 0.03315477445721626, 0.2443636655807495, -0.35112670063972473, -0.22188127040863037, -0.46789854764938354, -0.8171721696853638, -1.271567463874817, -0.26785656809806824, 0.37570953369140625, 0.5863615274429321, 0.6562808156013489, 0.3277815580368042, 0.35674774646759033, 0.1615464836359024, -0.26576435565948486, 0.07855650037527084, -0.38638296723365784, 0.05445781350135803, -0.036350563168525696, -0.9302244186401367, -0.6539222002029419, -0.3451082706451416, 0.5240294933319092, 0.6765566468238831, -0.08751969784498215, 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interpress_news_category_tr	null	2023-01-25T14:33:03Z	316	6	[ "task_categories:text-classification", "annotations_creators:found", "language_creators:found", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:original", "language:tr", "license:unknown", "news-category-classification", "region:us" ]	[ "text-classification" ]	2022-03-02T23:29:22Z	--- annotations_creators: - found language_creators: - found language: - tr license: - unknown multilinguality: - monolingual size_categories: - 100K<n<1M source_datasets: - original task_categories: - text-classification task_ids: [] pretty_name: Interpress Turkish News Category Dataset (270K) tags: - news-category-classification dataset_info: features: - name: id dtype: int32 - name: title dtype: string - name: content dtype: string - name: category dtype: class_label: names: '0': aktuel '1': bilisim '2': egitim '3': ekonomi '4': gida '5': iletisim '6': kultursanat '7': magazin '8': saglik '9': savunma '10': seyahat '11': siyasi '12': spor '13': teknoloji '14': ticaret '15': turizm '16': yasam - name: categorycode dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' '10': '10' '11': '11' '12': '12' '13': '13' '14': '14' '15': '15' '16': '16' - name: publishdatetime dtype: string config_name: 270k splits: - name: train num_bytes: 736098052 num_examples: 218880 - name: test num_bytes: 184683629 num_examples: 54721 download_size: 354802486 dataset_size: 920781681 --- # Dataset Card for Interpress Turkish News Category Dataset (270K) ## 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: [Interpress](https://www.interpress.com/) - Point of Contact: [Yavuz Komecoglu](mailto:[email protected]) ### Dataset Summary Turkish News Category Dataset (270K) is a Turkish news data set consisting of 273601 news in 17 categories, compiled from printed media and news websites between 2010 and 2017 by the Interpress (https://www.interpress.com/) media monitoring company. ### Supported Tasks and Leaderboards [More Information Needed] ### Languages The dataset is based on Turkish. ## Dataset Structure ### Data Instances A text classification dataset with 17 different news category. ``` {'id': 301365715, 'title': 'BİR SİHİRBAZ', 'content': 'NİANG, TAKIM ARKADAŞI FERNANDES E ÖVGÜLER YAĞDIRDI FUTBOL OYNARKEN EĞLENİYORUM YÜZDE 701E OYNUYORUM LİDERLE ARAMIZDA SADECE 5 PUAN VAR, ŞAMPİYONLUK ŞANSIMIZ YÜKSEK 4 j Fernandes le birlikte oynamayı seviyorum, adam adeta sihirbaz gibi J Frank Ribery, futbol hayatımda oynamaktan en çok zevk aldığım isim ı Abartılacak bir ] sonuç almadık ı .BAHÇE derbisinde Kartal ın ilk golünü atan, üçüncü golün de asistini yapan Mamadou Niang, TRT Spor da Futbol Keyfi programında özel açıklamalar yaptı. Senegalli forvet şampiyonluk şanslarının yüksek olduğunu dile getirirken, Portekizli yıldız Fernandes için Onunla oynamayı seviyorum, adeta bir sihirbaz gibi ifadesini kullandı. Frank Ribery nin futbol hayatında oynamaktan en çok zevk aldığım isim olduğunu ifade eden Niang, Moussa Sow ve Burak Yılmaz ın da Süper Lig deki en iyi forvetler olduğunu, ikisinin de tarzını beğendiğini söyledi. Senegalli yıldız şampiyonluk şansları için, Çok yüksek. Çünkü liderle aramızda 5 puan fark var ve bunu kapatacak güçteyiz yorumunu yaptı. NİANG şöyle devam etti: t.f En zorlandığım stoper İbrahim Toraman dır. Neyse ki şu an onunla takım arkadaşıyım. Almeida sakatlıktan döndükten sonra nasıl bir diziliş olur bilemiyorum. Onunla beraber oynayabiliriz, Holosko ile de oynayabiliriz. Türkiye, .. O NİANG, şu anda gerçek performansının yüzde 70 i ile oynadığını söyledi. İyi bir seviyede olmadığını kabul ettiğini belirten Senegalli yıldız, Sahada savaşan oyuncularla birlikte olmayı seviyorum. Bizim takımda Olcay ve Oğuzhan gibi bu yapıda isimler var. Tabii ki şansın da önemi var diye konuştu. zor bir lig. Eskiden arkadaşlarıma Türkiye Ligi nin iyi olduğunu söylediğimde inanmazlardı. Şimdi Didier Drogba, VVesley Sneijder, Sovvgibi oyuncuların burada olması ilgiyi artırdı. Futbol oynarken eğleniyorum ve şu an emekli olmayı düşünmüyorum. Açılış törenine, yönetici Metin Albayrak ile birlikte futbolcular Necip Uysal, McGregor ve Mehmet Akyüz de katıldı. BEŞİKTAŞLI Necip Uysal, +f başkan Fikret Orman gibi F.Bahçe galibiyetinin abartılmaması gerektiğini söyledi. Pazar günü İnönü Stadı nda güzel bir zafer elde ettiklerini vurgulayan genç yıldız, 10 karşılaşmaya daha çıkacağız. Her maçımız final, ayaklarımızın yere sağlam basması gerekiyor. Maçlara tek tek bakacağız ve hepsini kazanmak için oynayacağız yorumunu yaptı. Trabzon un her zaman zor deplasman olduğunu ifade eden Necip, Kolay olmayacağını biliyoruz ama şampiyonluk şansımızın sürmesi için kesinlikle üç puanla dönmeye mecburuz dedi. sflPa', 'category': 12, 'categorycode': 12, 'publishdatetime': '2013-03-07T00:00:00Z'} ``` ### Data Fields - `id` - `title` - `content` - `category` - `categorycode` - `publishdatetime` ### Data Splits The data is split into a training and testing. The split is organized as the following \| \| train \| test \| \|------------\|--------:\|-------:\| \| data split \| 218,880 \| 54,721 \| ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data [More Information Needed] #### Initial Data Collection and Normalization Downloaded over 270,000 news from the printed media and news websites between 2010 and 2017 by the Interpress (https://www.interpress.com/) media monitoring company. This data collection compiled from print media and internet news is presented in its raw form. For this reason, it is appropriate to use it with careful pre-processing steps regarding various OCR errors and typos. #### Who are the source language producers? Turkish printed news sources and online news sites. ### Annotations The dataset does not contain any additional 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 https://www.interpress.com/ ### Contributions Thanks to [@basakbuluz](https://github.com/basakbuluz) for adding this dataset.	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isizulu_ner_corpus	null	2023-01-25T14:33:13Z	316	0	[ "task_categories:token-classification", "task_ids:named-entity-recognition", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:zu", "license:other", "region:us" ]	[ "token-classification" ]	2022-03-02T23:29:22Z	--- annotations_creators: - expert-generated language_creators: - expert-generated language: - zu license: - other multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - token-classification task_ids: - named-entity-recognition pretty_name: Isizulu Ner Corpus license_details: Creative Commons Attribution 2.5 South Africa dataset_info: features: - name: id dtype: string - name: tokens sequence: string - name: ner_tags sequence: class_label: names: '0': OUT '1': B-PERS '2': I-PERS '3': B-ORG '4': I-ORG '5': B-LOC '6': I-LOC '7': B-MISC '8': I-MISC config_name: isizulu_ner_corpus splits: - name: train num_bytes: 4038876 num_examples: 10956 download_size: 25097584 dataset_size: 4038876 --- # Dataset Card for Isizulu Ner Corpus ## 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: [Isizulu Ner Corpus Homepage](https://repo.sadilar.org/handle/20.500.12185/319) - Repository: - Paper: - Leaderboard: - Point of Contact: [Martin Puttkammer](mailto:[email protected]) ### Dataset Summary The isizulu Ner Corpus is a Zulu dataset developed by [The Centre for Text Technology (CTexT), North-West University, South Africa](http://humanities.nwu.ac.za/ctext). The data is based on documents from the South African goverment domain and crawled from gov.za websites. It was created to support NER task for Zulu language. The dataset uses CoNLL shared task annotation standards. ### Supported Tasks and Leaderboards [More Information Needed] ### Languages The language supported is Zulu. ## Dataset Structure ### Data Instances A data point consists of sentences seperated by empty line and tab-seperated tokens and tags. {'id': '0', 'ner_tags': [7, 8, 0, 0, 0], 'tokens': ['Lesi', 'sigaba', 'se-website', ',', 'esikhonjiswe'] } ### Data Fields - `id`: id of the sample - `tokens`: the tokens of the example text - `ner_tags`: the NER tags of each token The NER tags correspond to this list: ``` "OUT", "B-PERS", "I-PERS", "B-ORG", "I-ORG", "B-LOC", "I-LOC", "B-MISC", "I-MISC", ``` The NER tags have the same format as in the CoNLL shared task: a B denotes the first item of a phrase and an I any non-initial word. There are four types of phrases: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). (OUT) is used for tokens not considered part of any named entity. ### Data Splits The data was not split. ## Dataset Creation ### Curation Rationale The data was created to help introduce resources to new language - zulu. [More Information Needed] ### Source Data #### Initial Data Collection and Normalization The data is based on South African government domain and was crawled from gov.za websites. #### Who are the source language producers? The data was produced by writers of South African government websites - gov.za ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? The data was annotated during the NCHLT text resource development project. [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 The annotated data sets were developed by the Centre for Text Technology (CTexT, North-West University, South Africa). See: [more information](http://www.nwu.ac.za/ctext) ### Licensing Information The data is under the [Creative Commons Attribution 2.5 South Africa License](http://creativecommons.org/licenses/by/2.5/za/legalcode) ### Citation Information ``` @inproceedings{isizulu_ner_corpus, author = {A.N. Manzini and Roald Eiselen}, title = {NCHLT isiZulu Named Entity Annotated Corpus}, booktitle = {Eiselen, R. 2016. Government domain named entity recognition for South African languages. Proceedings of the 10th Language Resource and Evaluation Conference, Portorož, Slovenia.}, year = {2016}, url = {https://repo.sadilar.org/handle/20.500.12185/319}, } ``` ### Contributions Thanks to [@yvonnegitau](https://github.com/yvonnegitau) for adding this dataset.	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ARTeLab/fanpage	ARTeLab	2022-11-17T02:49:54Z	316	3	[ "task_categories:summarization", "multilinguality:monolingual", "size_categories:10K<n<100k", "source_datasets:original", "language:it", "license:unknown", "region:us" ]	[ "summarization" ]	2022-03-02T23:29:22Z	--- language: - it license: - unknown multilinguality: - monolingual size_categories: - 10K<n<100k source_datasets: - original task_categories: - summarization --- # Dataset Card for fanpage ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-instances) - [Data Splits](#data-instances) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - Homepage: [Needs More Information] - Repository: [Needs More Information] - Paper: [Needs More Information] - Leaderboard: [Needs More Information] - Point of Contact: [Needs More Information] ### Dataset Summary Fanpage dataset, containing news articles taken from Fanpage. There are two features: - source: Input news article. - target: Summary of the article. ### Supported Tasks and Leaderboards - `abstractive-summarization`, `summarization` ### Languages The text in the dataset is in Italian ## Dataset Structure ### Data Instances [Needs More Information] ### Data Fields [Needs More Information] ### Data Splits [Needs More Information] ## Dataset Creation ### Curation Rationale [Needs More Information] ### Source Data #### Initial Data Collection and Normalization [Needs More Information] #### Who are the source language producers? [Needs More Information] ### Annotations #### Annotation process [Needs More Information] #### Who are the annotators? [Needs More Information] ### Personal and Sensitive Information [Needs More Information] ## Considerations for Using the Data ### Social Impact of Dataset [Needs More Information] ### Discussion of Biases [Needs More Information] ### Other Known Limitations [Needs More Information] ## Additional Information ### Dataset Curators [Needs More Information] ### Licensing Information [Needs More Information] ### Citation Information More details and results in [published work](https://www.mdpi.com/2078-2489/13/5/228) ``` @Article{info13050228, AUTHOR = {Landro, Nicola and Gallo, Ignazio and La Grassa, Riccardo and Federici, Edoardo}, TITLE = {Two New Datasets for Italian-Language Abstractive Text Summarization}, JOURNAL = {Information}, VOLUME = {13}, YEAR = {2022}, NUMBER = {5}, ARTICLE-NUMBER = {228}, URL = {https://www.mdpi.com/2078-2489/13/5/228}, ISSN = {2078-2489}, ABSTRACT = {Text summarization aims to produce a short summary containing relevant parts from a given text. Due to the lack of data for abstractive summarization on low-resource languages such as Italian, we propose two new original datasets collected from two Italian news websites with multi-sentence summaries and corresponding articles, and from a dataset obtained by machine translation of a Spanish summarization dataset. These two datasets are currently the only two available in Italian for this task. To evaluate the quality of these two datasets, we used them to train a T5-base model and an mBART model, obtaining good results with both. To better evaluate the results obtained, we also compared the same models trained on automatically translated datasets, and the resulting summaries in the same training language, with the automatically translated summaries, which demonstrated the superiority of the models obtained from the proposed datasets.}, DOI = {10.3390/info13050228} } ```	[ -0.6454788446426392, -0.48627927899360657, 0.016774572432041168, 0.14263679087162018, -0.3667997419834137, 0.05284196510910988, -0.39123785495758057, -0.4106622338294983, 0.782601535320282, 0.4386600852012634, -0.9121242165565491, -0.9522814750671387, -0.5485742092132568, 0.38126713037490845, -0.3139045238494873, 1.359695553779602, -0.15983130037784576, 0.044028665870428085, -0.10988380014896393, -0.3174101710319519, -0.07800668478012085, -0.4375174045562744, -0.36074894666671753, -0.08861645311117172, 0.568295955657959, 0.6189781427383423, 0.5242118239402771, 0.7939823865890503, 0.553382396697998, 0.21317939460277557, 0.10272149741649628, 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tarteel-ai/quranqa	tarteel-ai	2022-07-27T02:28:31Z	316	8	[ "task_categories:question-answering", "task_ids:extractive-qa", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:n<1K", "size_categories:1K<n<10K", "source_datasets:original", "language:ar", "license:cc-by-nd-4.0", "quran", "qa", "region:us" ]	[ "question-answering" ]	2022-07-26T20:05:10Z	--- annotations_creators: - expert-generated language: - ar language_creators: - expert-generated license: - cc-by-nd-4.0 multilinguality: - monolingual pretty_name: Qur'anic Reading Comprehension Dataset size_categories: - n<1K - 1K<n<10K source_datasets: - original tags: - quran - qa task_categories: - question-answering task_ids: - extractive-qa --- # Dataset Card for the Qur'anic Reading Comprehension Dataset (QRCD) ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: https://sites.google.com/view/quran-qa-2022/home - Repository: https://gitlab.com/bigirqu/quranqa/-/tree/main/ - Paper: https://dl.acm.org/doi/10.1145/3400396 - Leaderboard: - Point of Contact: @piraka9011 ### Dataset Summary The QRCD (Qur'anic Reading Comprehension Dataset) is composed of 1,093 tuples of question-passage pairs that are coupled with their extracted answers to constitute 1,337 question-passage-answer triplets. ### Supported Tasks and Leaderboards This task is evaluated as a ranking task. To give credit to a QA system that may retrieve an answer (not necessarily at the first rank) that does not fully match one of the gold answers but partially matches it, we use partial Reciprocal Rank (pRR) measure. It is a variant of the traditional Reciprocal Rank evaluation metric that considers partial matching. pRR is the official evaluation measure of this shared task. We will also report Exact Match (EM) and F1@1, which are evaluation metrics applied only on the top predicted answer. The EM metric is a binary measure that rewards a system only if the top predicted answer exactly matches one of the gold answers. Whereas, the F1@1 metric measures the token overlap between the top predicted answer and the best matching gold answer. To get an overall evaluation score, each of the above measures is averaged over all questions. ### Languages Qur'anic Arabic ## Dataset Structure ### Data Instances To simplify the structure of the dataset, each tuple contains one passage, one question and a list that may contain one or more answers to that question, as shown below: ```json { "pq_id": "38:41-44_105", "passage": "واذكر عبدنا أيوب إذ نادى ربه أني مسني الشيطان بنصب وعذاب. اركض برجلك هذا مغتسل بارد وشراب. ووهبنا له أهله ومثلهم معهم رحمة منا وذكرى لأولي الألباب. وخذ بيدك ضغثا فاضرب به ولا تحنث إنا وجدناه صابرا نعم العبد إنه أواب.", "surah": 38, "verses": "41-44", "question": "من هو النبي المعروف بالصبر؟", "answers": [ { "text": "أيوب", "start_char": 12 } ] } ``` Each Qur’anic passage in QRCD may have more than one occurrence; and each passage occurrence is paired with a different question. Likewise, each question in QRCD may have more than one occurrence; and each question occurrence is paired with a different Qur’anic passage. The source of the Qur'anic text in QRCD is the Tanzil project download page, which provides verified versions of the Holy Qur'an in several scripting styles. We have chosen the simple-clean text style of Tanzil version 1.0.2. ### Data Fields * `pq_id`: Sample ID * `passage`: Context text * `surah`: Surah number * `verses`: Verse range * `question`: Question text * `answers`: List of answers and their start character ### Data Splits \| Dataset \| % \| # Question-Passage Pairs \| # Question-Passage-Answer Triplets \| \|-------------\|:-----:\|:-----------------------------:\|:---------------------------------------:\| \| Training \| 65% \| 710 \| 861 \| \| Development \| 10% \| 109 \| 128 \| \| Test \| 25% \| 274 \| 348 \| \| All \| 100% \| 1,093 \| 1,337 \| ## 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 The QRCD v1.1 dataset is distributed under the CC-BY-ND 4.0 License https://creativecommons.org/licenses/by-nd/4.0/legalcode For a human-readable summary of (and not a substitute for) the above CC-BY-ND 4.0 License, please refer to https://creativecommons.org/licenses/by-nd/4.0/ ### Citation Information ``` @article{malhas2020ayatec, author = {Malhas, Rana and Elsayed, Tamer}, title = {AyaTEC: Building a Reusable Verse-Based Test Collection for Arabic Question Answering on the Holy Qur’an}, year = {2020}, issue_date = {November 2020}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, volume = {19}, number = {6}, issn = {2375-4699}, url = {https://doi.org/10.1145/3400396}, doi = {10.1145/3400396}, journal = {ACM Trans. Asian Low-Resour. Lang. Inf. Process.}, month = {oct}, articleno = {78}, numpages = {21}, keywords = {evaluation, Classical Arabic} } ``` ### Contributions Thanks to [@piraka9011](https://github.com/piraka9011) for adding this dataset.	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open-llm-leaderboard/details_HiTZ__alpaca-lora-65b-en-pt-es-ca	open-llm-leaderboard	2023-09-17T03:43:56Z	316	0	[ "region:us" ]	null	2023-08-17T23:52:23Z	--- pretty_name: Evaluation run of HiTZ/alpaca-lora-65b-en-pt-es-ca dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [HiTZ/alpaca-lora-65b-en-pt-es-ca](https://huggingface.co/HiTZ/alpaca-lora-65b-en-pt-es-ca)\ \ 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_HiTZ__alpaca-lora-65b-en-pt-es-ca\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-17T03:43:44.241616](https://huggingface.co/datasets/open-llm-leaderboard/details_HiTZ__alpaca-lora-65b-en-pt-es-ca/blob/main/results_2023-09-17T03-43-44.241616.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\": 0.44924496644295303,\n\ \ \"em_stderr\": 0.005094018275255409,\n \"f1\": 0.4984060402684574,\n\ \ \"f1_stderr\": 0.004892652635239537,\n \"acc\": 0.5359600711595986,\n\ \ \"acc_stderr\": 0.011658939983913114\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.44924496644295303,\n \"em_stderr\": 0.005094018275255409,\n\ \ \"f1\": 0.4984060402684574,\n \"f1_stderr\": 0.004892652635239537\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.266868840030326,\n \ \ \"acc_stderr\": 0.012183780551887955\n },\n \"harness\|winogrande\|5\":\ \ {\n \"acc\": 0.8050513022888713,\n \"acc_stderr\": 0.011134099415938275\n\ \ }\n}\n```" repo_url: https://huggingface.co/HiTZ/alpaca-lora-65b-en-pt-es-ca 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_04T23_39_25.347647 path: - '/details_harness\|arc:challenge\|25_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-04T23:39:25.347647.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_17T03_43_44.241616 path: - '/details_harness\|drop\|3_2023-09-17T03-43-44.241616.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-17T03-43-44.241616.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_17T03_43_44.241616 path: - '/details_harness\|gsm8k\|5_2023-09-17T03-43-44.241616.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-17T03-43-44.241616.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hellaswag\|10_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-04T23:39:25.347647.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-04T23:39:25.347647.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_04T23_39_25.347647 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-04T23:39:25.347647.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-04T23:39:25.347647.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_17T03_43_44.241616 path: - '/details_harness\|winogrande\|5_2023-09-17T03-43-44.241616.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-17T03-43-44.241616.parquet' - config_name: results data_files: - split: 2023_08_04T23_39_25.347647 path: - results_2023-08-04T23:39:25.347647.parquet - split: 2023_09_17T03_43_44.241616 path: - results_2023-09-17T03-43-44.241616.parquet - split: latest path: - results_2023-09-17T03-43-44.241616.parquet --- # Dataset Card for Evaluation run of HiTZ/alpaca-lora-65b-en-pt-es-ca ## Dataset Description - Homepage: - Repository: https://huggingface.co/HiTZ/alpaca-lora-65b-en-pt-es-ca - 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 [HiTZ/alpaca-lora-65b-en-pt-es-ca](https://huggingface.co/HiTZ/alpaca-lora-65b-en-pt-es-ca) 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_HiTZ__alpaca-lora-65b-en-pt-es-ca", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-17T03:43:44.241616](https://huggingface.co/datasets/open-llm-leaderboard/details_HiTZ__alpaca-lora-65b-en-pt-es-ca/blob/main/results_2023-09-17T03-43-44.241616.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": 0.44924496644295303, "em_stderr": 0.005094018275255409, "f1": 0.4984060402684574, "f1_stderr": 0.004892652635239537, "acc": 0.5359600711595986, "acc_stderr": 0.011658939983913114 }, "harness\|drop\|3": { "em": 0.44924496644295303, "em_stderr": 0.005094018275255409, "f1": 0.4984060402684574, "f1_stderr": 0.004892652635239537 }, "harness\|gsm8k\|5": { "acc": 0.266868840030326, "acc_stderr": 0.012183780551887955 }, "harness\|winogrande\|5": { "acc": 0.8050513022888713, "acc_stderr": 0.011134099415938275 } } ``` ### 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]	[ -0.4709619879722595, -0.7619962096214294, 0.18130530416965485, 0.2358579933643341, -0.18384209275245667, 0.1073821410536766, -0.3857712149620056, -0.2510995864868164, 0.5351623296737671, 0.6101453900337219, -0.7656522989273071, -1.0338449478149414, -0.699005126953125, 0.17793184518814087, -0.2056826502084732, 1.1776138544082642, -0.2612453103065491, -0.26216110587120056, 0.1486724615097046, -0.3248263895511627, -0.31228458881378174, -0.3483118414878845, -0.5343576669692993, 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open-llm-leaderboard/details_boomerchan__magpie-13b	open-llm-leaderboard	2023-10-27T04:34:56Z	316	0	[ "region:us" ]	null	2023-10-03T11:49:13Z	--- pretty_name: Evaluation run of boomerchan/magpie-13b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [boomerchan/magpie-13b](https://huggingface.co/boomerchan/magpie-13b) 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_boomerchan__magpie-13b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-27T04:34:42.967550](https://huggingface.co/datasets/open-llm-leaderboard/details_boomerchan__magpie-13b/blob/main/results_2023-10-27T04-34-42.967550.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\": 0.14272231543624161,\n\ \ \"em_stderr\": 0.003582171317651424,\n \"f1\": 0.20778418624161069,\n\ \ \"f1_stderr\": 0.0036307604368272656,\n \"acc\": 0.4548027044477143,\n\ \ \"acc_stderr\": 0.01080662148135179\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.14272231543624161,\n \"em_stderr\": 0.003582171317651424,\n\ \ \"f1\": 0.20778418624161069,\n \"f1_stderr\": 0.0036307604368272656\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.14480667172100076,\n \ \ \"acc_stderr\": 0.009693234799052706\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7647987371744278,\n \"acc_stderr\": 0.011920008163650877\n\ \ }\n}\n```" repo_url: https://huggingface.co/boomerchan/magpie-13b 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_03T11_48_49.581129 path: - '/details_harness\|arc:challenge\|25_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-03T11-48-49.581129.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_27T04_34_42.967550 path: - '/details_harness\|drop\|3_2023-10-27T04-34-42.967550.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-27T04-34-42.967550.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_27T04_34_42.967550 path: - '/details_harness\|gsm8k\|5_2023-10-27T04-34-42.967550.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-27T04-34-42.967550.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hellaswag\|10_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-03T11-48-49.581129.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-03T11-48-49.581129.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_03T11_48_49.581129 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-03T11-48-49.581129.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-03T11-48-49.581129.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_27T04_34_42.967550 path: - '/details_harness\|winogrande\|5_2023-10-27T04-34-42.967550.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-27T04-34-42.967550.parquet' - config_name: results data_files: - split: 2023_10_03T11_48_49.581129 path: - results_2023-10-03T11-48-49.581129.parquet - split: 2023_10_27T04_34_42.967550 path: - results_2023-10-27T04-34-42.967550.parquet - split: latest path: - results_2023-10-27T04-34-42.967550.parquet --- # Dataset Card for Evaluation run of boomerchan/magpie-13b ## Dataset Description - Homepage: - Repository: https://huggingface.co/boomerchan/magpie-13b - 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 [boomerchan/magpie-13b](https://huggingface.co/boomerchan/magpie-13b) 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_boomerchan__magpie-13b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-27T04:34:42.967550](https://huggingface.co/datasets/open-llm-leaderboard/details_boomerchan__magpie-13b/blob/main/results_2023-10-27T04-34-42.967550.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": 0.14272231543624161, "em_stderr": 0.003582171317651424, "f1": 0.20778418624161069, "f1_stderr": 0.0036307604368272656, "acc": 0.4548027044477143, "acc_stderr": 0.01080662148135179 }, "harness\|drop\|3": { "em": 0.14272231543624161, "em_stderr": 0.003582171317651424, "f1": 0.20778418624161069, "f1_stderr": 0.0036307604368272656 }, "harness\|gsm8k\|5": { "acc": 0.14480667172100076, "acc_stderr": 0.009693234799052706 }, "harness\|winogrande\|5": { "acc": 0.7647987371744278, "acc_stderr": 0.011920008163650877 } } ``` ### 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]	[ -0.487544447183609, -0.6953490376472473, 0.0457916222512722, 0.2795363962650299, -0.06656794995069504, 0.08464758098125458, -0.40138110518455505, -0.18344470858573914, 0.3198707103729248, 0.4605531096458435, -0.7805963158607483, -0.9178656935691833, -0.6723832488059998, 0.3201117217540741, -0.17108067870140076, 1.1146053075790405, -0.055264294147491455, -0.24909549951553345, 0.06858287751674652, -0.17462605237960815, -0.4219111502170563, -0.3732128441333771, -0.4293808043003082, 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kensho/spgispeech	kensho	2022-10-21T14:46:30Z	315	21	[ "task_categories:automatic-speech-recognition", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:1M<n<10M", "source_datasets:original", "language:en", "license:other", "arxiv:2104.02014", "region:us" ]	[ "automatic-speech-recognition" ]	2022-06-29T16:09:04Z	--- annotations_creators: - expert-generated language_creators: - found language: - en license: - other multilinguality: - monolingual pretty_name: SpgiSpeech size_categories: - 1M<n<10M source_datasets: - original task_categories: - automatic-speech-recognition extra_gated_prompt: \|- Your access to and use of the information in the Kensho Transcript Dataset (the “Content”), which is provided by Kensho Technologies, LLC, a subsidiary of S&P Global, Inc., (“Kensho”), shall be governed by the following terms and conditions of usage (“Terms of Usage”). 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In the event of a conflict between these Terms of Use and any other agreement with Kensho that relates to Third-Party Content, the more restrictive terms shall prevail. extra_gated_fields: Full name: text Email: text Institution: text I accept the Terms of Usage: checkbox --- # Dataset Card for SPGISpeech ## Table of Contents - [Table of Contents](#table-of-contents) <img src="https://s3.amazonaws.com/moonup/production/uploads/1661776840270-62e049fe81d9ca6484eff137.png" alt="SPGISpeech Logo" width="200"/> - [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) - [Terms of Usage](#terms-of-usage) ## Dataset Description - Homepage: https://datasets.kensho.com/datasets/spgispeech - Repository: - Paper: https://arxiv.org/abs/2104.02014 - Leaderboard: - Point of Contact: [[email protected]](mailto:[email protected] ) ## Dataset Description SPGISpeech (rhymes with “squeegee-speech”) is a large-scale transcription dataset, freely available for academic research. SPGISpeech is a corpus of 5,000 hours of professionally-transcribed financial audio. SPGISpeech contains a broad cross-section of L1 and L2 English accents, strongly varying audio quality, and both spontaneous and narrated speech. The transcripts have each been cross-checked by multiple professional editors for high accuracy and are fully formatted, including capitalization, punctuation, and denormalization of non-standard words. SPGISpeech consists of 5,000 hours of recorded company earnings calls and their respective transcriptions. The original calls were split into slices ranging from 5 to 15 seconds in length to allow easy training for speech recognition systems. Calls represent a broad cross-section of international business English; SPGISpeech contains approximately 50,000 speakers, one of the largest numbers of any speech corpus, and offers a variety of L1 and L2 English accents. The format of each WAV file is single channel, 16kHz, 16 bit audio. ### Example Usage The training split has several configurations of various size: S, M, L. See the Section [Data Splits](#data-splits) for for more information. To download the S configuration: ```python from datasets import load_dataset spgi = load_dataset("kensho/spgispeech", "S", use_auth_token=True) # see structure print(spgi) # load audio sample on the fly audio_input = spgi["train"][0]["audio"] # first decoded audio sample transcription = spgi["train"][0]["text"] # first transcription ``` It is possible to download only the development or test data: ```python spgi_dev = load_dataset("kensho/spgispeech", "dev", use_auth_token=True) spgi_test = load_dataset("kensho/spgispeech", "test", use_auth_token=True) ``` ### Supported Tasks and Leaderboards - `automatic-speech-recognition`: The dataset can be used to train a model for Automatic Speech Recognition (ASR). The model is presented with an audio file and asked to transcribe the audio file to written text. The most common evaluation metric is the word error rate (WER). ### Languages SPGISpeech contains audio and transcription data in business English and offers a variety of L1 and L2 accents. ## Dataset Structure ### Data Instances ```python { 'wav_filename': '32bcf9c9dc707fb61a04290e296f31eb/99.wav', 'audio': { 'path': '/home/user/.cache/huggingface/datasets/downloads/extracted/c7082e2bd5b.../dev_part_2/32bcf9c9dc707fb61a04290e296f31eb/99.wav', 'array': array([-0.00039673, -0.00057983, -0.00057983, ..., -0.0007019 , -0.00027466, 0.00021362], dtype=float32), 'sampling_rate': 16000 }, 'wav_filesize': 292844, 'transcript': 'This is proving to be true, and through focused execution we are on track to exceed our targeted savings in 2017. As a reminder,' } ``` ### Data Fields * wav_filename (string) - audio filename (includes parent directory). * audio (Audio feature) - a dictionary containing the path to the audio, the decoded audio array, and the sampling rate. In non-streaming mode (default), the path points to the locally extracted audio. In streaming mode, the path is the relative path of an audio inside its archive (as files are not downloaded and extracted locally). * wav_filesize (int) - size of the file in bytes. * transcript (string) - transcription of the file. ### Data Splits The dataset has three splits: train, evaluation (dev) and test. The train split has three configurations of various sizes: S, M, L. Larger subsets are supersets of smaller subsets, e.g., the L subset contains all the data from the M subset. #### Transcribed Subsets Size \| Subset \| Size \| \|:------:\|:-------:\| \| S \| 22Gb \| \| M \| 107Gb \| \| L \| 530Gb \| \| dev \| 11Gb \| \| test \| 11Gb \| ## Dataset Creation ### Curation Rationale To augment the open-source speech-to-text datasets available for R&D. ### Source Data The dataset contains S&P Global company earnings calls. #### Initial Data Collection and Normalization Public earnings calls spanning the time period from 2007-2020 were converted to 16kHz, 16-bit audio. #### Who are the source language producers? English speakers with a diverse selection of accents, including non-native ones (L2), producing both spontaneous and narrated speech. ### Annotations #### Annotation process Data is orthographically transcribed according to a professional style guide detailing conventions for capitalization, punctuation, denormalization of non-standard words and transcription of disfluencies in spontaneous speech. The transcripts have each been cross-checked by multiple professional editors for high accuracy and are fully formatted. Full earnings calls last 30-60 minutes in length and are typically transcribed as whole units, without internal timestamps. In order to produce short audio slices suitable for STT training, the files were segmented with [Gentle](https://lowerquality.com/gentle/), a double-pass forced aligner, with the beginning and end of each slice of audio imputed by voice activity detection with [py-webrtc](https://github.com/wiseman/py-webrtcvad). #### Who are the annotators? Earning calls are manually transcribed by S&P Global, Inc. ### Personal and Sensitive Information Though earnings calls are public, we nevertheless identified full names with the spaCy en core web large model. We withheld samples containing names that appeared fewer than ten times (7% of total). Full names appearing ten times or more in the data were considered to be public figures and were retained. This necessarily incomplete approach to named entity recognition was complemented with randomized manual spot checks which uncovered no false negatives missed by the automated approach. ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases The largest issue inherent with the dataset is that the speaker distribution of SPGISpeech reflects the speaker distribution seen during earning calls. One example issue that stems from this: during earnings calls, close to 90% of speakers are male. ### Other Known Limitations Due to formal language seen during earnings calls, the dataset needs augmentation for training systems that transcribe informal speech. ## Additional Information ### Dataset Curators Kensho Technologies ### Licensing Information ### Citation Information Please cite this paper: ```bibtext @ARTICLE{2021arXiv210402014O, author = {{O'Neill}, Patrick K. and {Lavrukhin}, Vitaly and {Majumdar}, Somshubra and {Noroozi}, Vahid and {Zhang}, Yuekai and {Kuchaiev}, Oleksii and {Balam}, Jagadeesh and {Dovzhenko}, Yuliya and {Freyberg}, Keenan and {Shulman}, Michael D. and {Ginsburg}, Boris and {Watanabe}, Shinji and {Kucsko}, Georg}, title = "{SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition}", journal = {arXiv e-prints}, keywords = {Computer Science - Computation and Language, Electrical Engineering and Systems Science - Audio and Speech Processing}, year = 2021, month = apr, eid = {arXiv:2104.02014}, pages = {arXiv:2104.02014}, archivePrefix = {arXiv}, eprint = {2104.02014}, primaryClass = {cs.CL}, adsurl = {https://ui.adsabs.harvard.edu/abs/2021arXiv210402014O}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } ``` ### Contributions Thanks to [@sanchit-gandhi](https://github.com/sanchit-gandhi), [@patrickvonplaten](https://github.com/patrickvonplaten), and [@polinaeterna](https://github.com/polinaeterna) for adding this dataset. ## Terms of Usage Your access to and use of the information in the Kensho Transcript Dataset (the “Content”), which is provided by Kensho Technologies, LLC, a subsidiary of S&P Global, Inc., (“Kensho”), shall be governed by the following terms and conditions of usage (“Terms of Usage”). 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Section 3 - PRIVACY 3.1 Access and Collection. In order to access this Content, during the registration process, either you or your employer will be required to provide Kensho with certain information; including your name, employer or academic institution, and e-mail address (“Registration Data”). In addition, when you request or view Content, Kensho may obtain user identifiable information related to your request of, or access to, such Content (“Access Data”). For example, while you are accessing this Content, our Web servers may recognize your: (a) domain name; (b) ISP’s domain name; (c) IP address; (d) browser type; and (e) operating system. If you contact us with a technical question, we may collect certain information about your systems, including: (a) your browser type, version and settings (e.g., Java and cookie settings); (b) connectivity information (e.g., SSL/HTTPS compatibility, bandwidth capacity); and browser plug-in information (e.g., do you have Adobe, what is your media player, can you open Flash files, etc.). 3.2 Use of Your Information. Registration Data and Access Data may be used by Kensho for research and development purposes and to communicate with users and to troubleshoot any technical issues pertaining to the Content. You acknowledge that in the event that a separate agreement is required, Kensho may share Registration Data with its Affiliates (as defined below). 3.3 Disclosure of Your Information. Except as otherwise noted herein, Kensho will not disclose, rent or sell personal information collected from or about you without your permission. For the purposes specified in the preceding paragraph, we may transfer or disclose Registration Data and Access Data to S&P Global Inc. and its affiliates (“Kensho Affiliates”) and third parties who are contracted to perform services on behalf of Kensho, such as those who assist Kensho in bringing you this Content and providing you with certain features and functionality included within or accessible via this Content. We may also disclose Registration Data and Access Data to Kensho Affiliates and third parties in connection with their providing you access to this Content. Disclosures to these third parties will be subject to confidentiality agreements and, where required, governed by contract. Kensho may also be required to disclose information to governmental, regulatory or self-regulatory entities or agencies in response to regulatory inquiries or to comply with applicable laws, rules, regulations, orders, subpoenas or other legal processes. 3.4 Consent. By (a) agreeing to these Terms of Usage, or (b) by using this Content, and, in either case, providing any information that may be required, requested or otherwise collected by us as set forth above, you freely consent to Kensho processing your information in the United States and in other countries and territories for the purposes set out in these Terms of Usage, and you also consent to the transfer of your information for such purposes to any third party content provider wherever such entity may from time to time be located and to any third parties as described above and in accordance with applicable law and regulations. If you do not permit Kensho to collect any of your information or do not agree with any of the terms and conditions of these Terms of Usage, you should not use this Content and should exit this page and/or Content, as the case may be. If after registering with Kensho, you desire to withdraw the consent granted in this Section 3.4 for all future use of your information by Kensho, you must notify Kensho in writing at the address listed below in Section 3.8 and immediately cease use of this Content. 3.5 Inquiries. If you have any questions regarding these Terms of Usage or your information that is held by us, please contact Kensho in writing using the contact information provided below. If we receive a request regarding your personal information held by us, we will use reasonable means to provide you with such information that we can reasonably compile. You will be given the opportunity to rectify any inaccuracies in such information. 3.6 Encryption. Kensho may use encryption technology to protect certain transmissions of data to/from this Content, but e-mail and other communications, unless otherwise noted on this Content, are not encrypted to/from this Content. Therefore, you should not send any personal or identifying information, such as account numbers, credit card numbers, Social Security numbers, passwords, etc., to Kensho via e-mail. By utilizing e-mail or other electronic communication means you acknowledge that you have no expectation of privacy with respect to the information delivered thereby and that Kensho will not be responsible for any loss or damage that could result from interception by third parties of any information so sent. 3.7 Contact Information. In the event you have any questions regarding these Terms of Use, this Privacy Statement or to make any requests or queries regarding your information that is held by us you may contact us in writing at [email protected] or Kensho Technologies LLC, Attn: General Counsel, 55 Water Street, New York, NY 10041. Section 4 - MISCELLANEOUS 4.1 Entire Agreement. These Terms of Usage constitute the entire agreement of the parties hereto with respect to the subject matter hereof and supersede all prior agreements and undertakings, both written and oral, between the parties with respect to the subject matter hereof. 4.2 Severability. If any term or other provision of these Terms of Usage is invalid, illegal or incapable of being enforced by any law or public policy, all other terms and provisions of these Terms of Usage shall nevertheless remain in full force and effect so long as the economic or legal substance of the transactions contemplated hereby is not affected in any manner materially adverse to any party. 4.3 Governing Law; Forum. These Terms of Usage shall be governed in all respects by the laws of the State of New York, and any litigation arising out of or connected in any way with these Terms of Usage shall take place in a State or Federal court of competent jurisdiction in New York County, State of New York. 4.4 Waiver of Jury Trial. YOU WAIVE TO THE FULLEST EXTENT PERMITTED BY APPLICABLE LAW ANY RIGHT YOU MAY HAVE TO A TRIAL BY JURY WITH RESPECT TO ANY ACTIONS OR PROCEEDINGS DIRECTLY OR INDIRECTLY ARISING OUT OF, UNDER OR IN CONNECTION WITH THESE TERMS OF USAGE. 4.5 Conflict. In the event of a conflict between these Terms of Use and any other agreement with Kensho that relates to Third-Party Content, the more restrictive terms shall prevail.	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bigbio/ebm_pico	bigbio	2022-12-22T15:44:33Z	315	1	[ "multilinguality:monolingual", "language:en", "license:unknown", "region:us" ]	null	2022-11-13T22:08:15Z	--- language: - en bigbio_language: - English license: unknown multilinguality: monolingual bigbio_license_shortname: UNKNOWN pretty_name: EBM NLP homepage: https://github.com/bepnye/EBM-NLP bigbio_pubmed: True bigbio_public: True bigbio_tasks: - NAMED_ENTITY_RECOGNITION --- # Dataset Card for EBM NLP ## Dataset Description - Homepage: https://github.com/bepnye/EBM-NLP - Pubmed: True - Public: True - Tasks: NER This corpus release contains 4,993 abstracts annotated with (P)articipants, (I)nterventions, and (O)utcomes. Training labels are sourced from AMT workers and aggregated to reduce noise. Test labels are collected from medical professionals. ## Citation Information ``` @inproceedings{nye-etal-2018-corpus, title = "A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature", author = "Nye, Benjamin and Li, Junyi Jessy and Patel, Roma and Yang, Yinfei and Marshall, Iain and Nenkova, Ani and Wallace, Byron", booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", month = jul, year = "2018", address = "Melbourne, Australia", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/P18-1019", doi = "10.18653/v1/P18-1019", pages = "197--207", } ```	[ -0.3193225860595703, -0.5281190872192383, 0.1523284614086151, 0.16726906597614288, -0.29365915060043335, -0.07137249410152435, -0.23759688436985016, -0.5061060190200806, 0.6703966856002808, 0.22356514632701874, -0.456405907869339, -0.9327958226203918, 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open-llm-leaderboard/details_abhishek__llama2guanacotest	open-llm-leaderboard	2023-09-22T17:34:54Z	315	0	[ "region:us" ]	null	2023-08-18T11:44:21Z	--- pretty_name: Evaluation run of abhishek/llama2guanacotest dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [abhishek/llama2guanacotest](https://huggingface.co/abhishek/llama2guanacotest)\ \ 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_abhishek__llama2guanacotest\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-22T17:34:42.809014](https://huggingface.co/datasets/open-llm-leaderboard/details_abhishek__llama2guanacotest/blob/main/results_2023-09-22T17-34-42.809014.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\": 0.1018246644295302,\n\ \ \"em_stderr\": 0.0030970392367407284,\n \"f1\": 0.15182571308724796,\n\ \ \"f1_stderr\": 0.0032356577343186617,\n \"acc\": 0.42458141676534983,\n\ \ \"acc_stderr\": 0.010661835808025592\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.1018246644295302,\n \"em_stderr\": 0.0030970392367407284,\n\ \ \"f1\": 0.15182571308724796,\n \"f1_stderr\": 0.0032356577343186617\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.11751326762699014,\n \ \ \"acc_stderr\": 0.008870331256489988\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7316495659037096,\n \"acc_stderr\": 0.012453340359561195\n\ \ }\n}\n```" repo_url: https://huggingface.co/abhishek/llama2guanacotest 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_17T13_26_15.590917 path: - '/details_harness\|arc:challenge\|25_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-17T13:26:15.590917.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_22T17_34_42.809014 path: - '/details_harness\|drop\|3_2023-09-22T17-34-42.809014.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-22T17-34-42.809014.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_22T17_34_42.809014 path: - '/details_harness\|gsm8k\|5_2023-09-22T17-34-42.809014.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-22T17-34-42.809014.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hellaswag\|10_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T13:26:15.590917.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T13:26:15.590917.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_17T13_26_15.590917 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-17T13:26:15.590917.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-17T13:26:15.590917.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_22T17_34_42.809014 path: - '/details_harness\|winogrande\|5_2023-09-22T17-34-42.809014.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-22T17-34-42.809014.parquet' - config_name: results data_files: - split: 2023_08_17T13_26_15.590917 path: - results_2023-08-17T13:26:15.590917.parquet - split: 2023_09_22T17_34_42.809014 path: - results_2023-09-22T17-34-42.809014.parquet - split: latest path: - results_2023-09-22T17-34-42.809014.parquet --- # Dataset Card for Evaluation run of abhishek/llama2guanacotest ## Dataset Description - Homepage: - Repository: https://huggingface.co/abhishek/llama2guanacotest - 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 [abhishek/llama2guanacotest](https://huggingface.co/abhishek/llama2guanacotest) 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_abhishek__llama2guanacotest", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-22T17:34:42.809014](https://huggingface.co/datasets/open-llm-leaderboard/details_abhishek__llama2guanacotest/blob/main/results_2023-09-22T17-34-42.809014.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": 0.1018246644295302, "em_stderr": 0.0030970392367407284, "f1": 0.15182571308724796, "f1_stderr": 0.0032356577343186617, "acc": 0.42458141676534983, "acc_stderr": 0.010661835808025592 }, "harness\|drop\|3": { "em": 0.1018246644295302, "em_stderr": 0.0030970392367407284, "f1": 0.15182571308724796, "f1_stderr": 0.0032356577343186617 }, "harness\|gsm8k\|5": { "acc": 0.11751326762699014, "acc_stderr": 0.008870331256489988 }, "harness\|winogrande\|5": { "acc": 0.7316495659037096, "acc_stderr": 0.012453340359561195 } } ``` ### 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]	[ -0.37735381722450256, -0.6891793608665466, 0.1627623438835144, 0.26358363032341003, -0.2347327619791031, 0.15179306268692017, -0.4279438257217407, -0.3135862350463867, 0.4991613030433655, 0.493693470954895, -0.7442858219146729, -0.9554656744003296, -0.6733851432800293, 0.18651942908763885, -0.197559654712677, 1.114400863647461, -0.3036312460899353, -0.2403232753276825, 0.0005075962981209159, -0.2835538685321808, -0.331828236579895, -0.33602017164230347, -0.48655593395233154, 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open-llm-leaderboard/details_CHIH-HUNG__llama-2-13b-FINETUNE3_3.3w-r8-q_k_v_o_gate_up_down	open-llm-leaderboard	2023-10-28T08:25:35Z	315	0	[ "region:us" ]	null	2023-10-04T05:37:34Z	--- pretty_name: Evaluation run of CHIH-HUNG/llama-2-13b-FINETUNE3_3.3w-r8-q_k_v_o_gate_up_down dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [CHIH-HUNG/llama-2-13b-FINETUNE3_3.3w-r8-q_k_v_o_gate_up_down](https://huggingface.co/CHIH-HUNG/llama-2-13b-FINETUNE3_3.3w-r8-q_k_v_o_gate_up_down)\ \ 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_CHIH-HUNG__llama-2-13b-FINETUNE3_3.3w-r8-q_k_v_o_gate_up_down\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-28T08:25:23.619577](https://huggingface.co/datasets/open-llm-leaderboard/details_CHIH-HUNG__llama-2-13b-FINETUNE3_3.3w-r8-q_k_v_o_gate_up_down/blob/main/results_2023-10-28T08-25-23.619577.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\": 0.3410234899328859,\n\ \ \"em_stderr\": 0.0048547488279167,\n \"f1\": 0.3798521392617453,\n\ \ \"f1_stderr\": 0.004781623142650588,\n \"acc\": 0.43779100069232807,\n\ \ \"acc_stderr\": 0.010221026790242026\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.3410234899328859,\n \"em_stderr\": 0.0048547488279167,\n\ \ \"f1\": 0.3798521392617453,\n \"f1_stderr\": 0.004781623142650588\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.10841546626231995,\n \ \ \"acc_stderr\": 0.008563852506627504\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7671665351223362,\n \"acc_stderr\": 0.011878201073856546\n\ \ }\n}\n```" repo_url: https://huggingface.co/CHIH-HUNG/llama-2-13b-FINETUNE3_3.3w-r8-q_k_v_o_gate_up_down 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_04T05_37_11.185661 path: - '/details_harness\|arc:challenge\|25_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-04T05-37-11.185661.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_28T08_25_23.619577 path: - '/details_harness\|drop\|3_2023-10-28T08-25-23.619577.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-28T08-25-23.619577.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_28T08_25_23.619577 path: - '/details_harness\|gsm8k\|5_2023-10-28T08-25-23.619577.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-28T08-25-23.619577.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hellaswag\|10_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T05-37-11.185661.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T05-37-11.185661.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_04T05_37_11.185661 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-04T05-37-11.185661.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-04T05-37-11.185661.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_28T08_25_23.619577 path: - '/details_harness\|winogrande\|5_2023-10-28T08-25-23.619577.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-28T08-25-23.619577.parquet' - config_name: results data_files: - split: 2023_10_04T05_37_11.185661 path: - results_2023-10-04T05-37-11.185661.parquet - split: 2023_10_28T08_25_23.619577 path: - results_2023-10-28T08-25-23.619577.parquet - split: latest path: - results_2023-10-28T08-25-23.619577.parquet --- # Dataset Card for Evaluation run of CHIH-HUNG/llama-2-13b-FINETUNE3_3.3w-r8-q_k_v_o_gate_up_down ## Dataset Description - Homepage: - Repository: https://huggingface.co/CHIH-HUNG/llama-2-13b-FINETUNE3_3.3w-r8-q_k_v_o_gate_up_down - 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 [CHIH-HUNG/llama-2-13b-FINETUNE3_3.3w-r8-q_k_v_o_gate_up_down](https://huggingface.co/CHIH-HUNG/llama-2-13b-FINETUNE3_3.3w-r8-q_k_v_o_gate_up_down) 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_CHIH-HUNG__llama-2-13b-FINETUNE3_3.3w-r8-q_k_v_o_gate_up_down", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-28T08:25:23.619577](https://huggingface.co/datasets/open-llm-leaderboard/details_CHIH-HUNG__llama-2-13b-FINETUNE3_3.3w-r8-q_k_v_o_gate_up_down/blob/main/results_2023-10-28T08-25-23.619577.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": 0.3410234899328859, "em_stderr": 0.0048547488279167, "f1": 0.3798521392617453, "f1_stderr": 0.004781623142650588, "acc": 0.43779100069232807, "acc_stderr": 0.010221026790242026 }, "harness\|drop\|3": { "em": 0.3410234899328859, "em_stderr": 0.0048547488279167, "f1": 0.3798521392617453, "f1_stderr": 0.004781623142650588 }, "harness\|gsm8k\|5": { "acc": 0.10841546626231995, "acc_stderr": 0.008563852506627504 }, "harness\|winogrande\|5": { "acc": 0.7671665351223362, "acc_stderr": 0.011878201073856546 } } ``` ### 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]	[ -0.383381724357605, -0.7560539245605469, 0.23926779627799988, 0.28000596165657043, -0.19416990876197815, 0.14784954488277435, -0.3229750096797943, -0.2636149227619171, 0.44911912083625793, 0.525836706161499, -0.6946000456809998, -0.9036755561828613, -0.7258855104446411, 0.22502614557743073, -0.1875762939453125, 1.1820626258850098, -0.3055288791656494, -0.2019871175289154, 0.11081937700510025, -0.24590711295604706, -0.45500096678733826, -0.3749440610408783, -0.4504299461841583, 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zeroshot/twitter-financial-news-topic	zeroshot	2022-12-04T16:50:10Z	314	16	[ "task_categories:text-classification", "task_ids:multi-class-classification", "annotations_creators:other", "language_creators:other", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "license:mit", "twitter", "finance", "markets", "stocks", "wallstreet", "quant", "hedgefunds", "region:us" ]	[ "text-classification" ]	2022-09-07T18:43:21Z	--- annotations_creators: - other language: - en language_creators: - other license: - mit multilinguality: - monolingual pretty_name: twitter financial news size_categories: - 10K<n<100K source_datasets: - original tags: - twitter - finance - markets - stocks - wallstreet - quant - hedgefunds - markets task_categories: - text-classification task_ids: - multi-class-classification --- Read this [BLOG](https://neuralmagic.com/blog/classifying-finance-tweets-in-real-time-with-sparse-transformers/) to see how I fine-tuned a sparse transformer on this dataset. ### Dataset Description The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their topic. 1. The dataset holds 21,107 documents annotated with 20 labels: ```python topics = { "LABEL_0": "Analyst Update", "LABEL_1": "Fed \| Central Banks", "LABEL_2": "Company \| Product News", "LABEL_3": "Treasuries \| Corporate Debt", "LABEL_4": "Dividend", "LABEL_5": "Earnings", "LABEL_6": "Energy \| Oil", "LABEL_7": "Financials", "LABEL_8": "Currencies", "LABEL_9": "General News \| Opinion", "LABEL_10": "Gold \| Metals \| Materials", "LABEL_11": "IPO", "LABEL_12": "Legal \| Regulation", "LABEL_13": "M&A \| Investments", "LABEL_14": "Macro", "LABEL_15": "Markets", "LABEL_16": "Politics", "LABEL_17": "Personnel Change", "LABEL_18": "Stock Commentary", "LABEL_19": "Stock Movement", } ``` The data was collected using the Twitter API. The current dataset supports the multi-class classification task. ### Task: Topic Classification # Data Splits There are 2 splits: train and validation. Below are the statistics: \| Dataset Split \| Number of Instances in Split \| \| ------------- \| ------------------------------------------- \| \| Train \| 16,990 \| \| Validation \| 4,118 \| # Licensing Information The Twitter Financial Dataset (topic) version 1.0.0 is released under the MIT License.	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FreedomIntelligence/alpaca-gpt4-deutsch	FreedomIntelligence	2023-08-06T08:08:37Z	314	3	[ "license:apache-2.0", "region:us" ]	null	2023-06-26T08:17:40Z	--- license: apache-2.0 --- The dataset is used in the research related to [MultilingualSIFT](https://github.com/FreedomIntelligence/MultilingualSIFT).	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philipphager/baidu-ultr_tencent-bert-12L	philipphager	2023-11-28T13:23:15Z	314	0	[ "license:cc-by-nc-4.0", "region:us" ]	null	2023-11-24T15:37:43Z	--- license: cc-by-nc-4.0 ---	[ -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, 0.8275899291038513, 0.3960294723510742, 0.503056526184082, 1.7515552043914795, -0.08836923539638519, -0.22754432260990143, -0.458920419216156, 0.4223068356513977, -0.3327738642692566, -0.4213368892669678, -0.26241645216941833, -0.0744934156537056, 0.32380396127700806, 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conv_questions	null	2023-06-02T12:18:49Z	313	2	[ "task_categories:question-answering", "task_categories:text-generation", "task_categories:fill-mask", "task_ids:open-domain-qa", "task_ids:dialogue-modeling", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "license:cc-by-4.0", "arxiv:1910.03262", "region:us" ]	[ "question-answering", "text-generation", "fill-mask" ]	2022-03-02T23:29:22Z	--- annotations_creators: - crowdsourced language_creators: - crowdsourced language: - en language_bcp47: - en-US license: - cc-by-4.0 multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - question-answering - text-generation - fill-mask task_ids: - open-domain-qa - dialogue-modeling pretty_name: ConvQuestions dataset_info: features: - name: domain dtype: string - name: seed_entity dtype: string - name: seed_entity_text dtype: string - name: questions sequence: string - name: answers sequence: sequence: string - name: answer_texts sequence: string splits: - name: train num_bytes: 3589880 num_examples: 6720 - name: validation num_bytes: 1241778 num_examples: 2240 - name: test num_bytes: 1175656 num_examples: 2240 download_size: 3276017 dataset_size: 6007314 --- # Dataset Card for ConvQuestions ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-instances) - [Data Splits](#data-instances) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: [ConvQuestions page](https://convex.mpi-inf.mpg.de) - Repository: [GitHub](https://github.com/PhilippChr/CONVEX) - Paper: [Look before you hop: Conversational question answering over knowledge graphs using judicious context expansion](https://arxiv.org/abs/1910.03262) - Leaderboard: [ConvQuestions leaderboard](https://convex.mpi-inf.mpg.de) - Point of Contact: [Philipp Christmann](mailto:[email protected]) ### Dataset Summary ConvQuestions is the first realistic benchmark for conversational question answering over knowledge graphs. It contains 11,200 conversations which can be evaluated over Wikidata. They are compiled from the inputs of 70 Master crowdworkers on Amazon Mechanical Turk, with conversations from five domains: Books, Movies, Soccer, Music, and TV Series. The questions feature a variety of complex question phenomena like comparisons, aggregations, compositionality, and temporal reasoning. Answers are grounded in Wikidata entities to enable fair comparison across diverse methods. The data gathering setup was kept as natural as possible, with the annotators selecting entities of their choice from each of the five domains, and formulating the entire conversation in one session. All questions in a conversation are from the same Turker, who also provided gold answers to the questions. For suitability to knowledge graphs, questions were constrained to be objective or factoid in nature, but no other restrictive guidelines were set. A notable property of ConvQuestions is that several questions are not answerable by Wikidata alone (as of September 2019), but the required facts can, for example, be found in the open Web or in Wikipedia. For details, please refer to the CIKM 2019 full paper (https://dl.acm.org/citation.cfm?id=3358016). ### Supported Tasks and Leaderboards [Needs More Information] ### Languages en ## Dataset Structure ### Data Instances An example of 'train' looks as follows. ``` { 'domain': 'music', 'seed_entity': 'https://www.wikidata.org/wiki/Q223495', 'seed_entity_text': 'The Carpenters', 'questions': [ 'When did The Carpenters sign with A&M Records?', 'What song was their first hit?', 'When did Karen die?', 'Karen had what eating problem?', 'and how did she die?' ], 'answers': [ [ '1969' ], [ 'https://www.wikidata.org/wiki/Q928282' ], [ '1983' ], [ 'https://www.wikidata.org/wiki/Q131749' ], [ 'https://www.wikidata.org/wiki/Q181754' ] ], 'answer_texts': [ '1969', '(They Long to Be) Close to You', '1983', 'anorexia nervosa', 'heart failure' ] } ``` ### Data Fields - `domain`: a `string` feature. Any of: ['books', 'movies', 'music', 'soccer', 'tv_series'] - `seed_entity`: a `string` feature. Wikidata ID of the topic entity. - `seed_entity_text`: a `string` feature. Surface form of the topic entity. - `questions`: a `list` of `string` features. List of questions (initial question and follow-up questions). - `answers`: a `list` of `lists` of `string` features. List of answers, given as Wikidata IDs or literals (e.g. timestamps or names). - `answer_texts`: a `list` of `string` features. List of surface forms of the answers. ### Data Splits \|train\|validation\|tests\| \|----:\|---------:\|----:\| \| 6720\| 2240\| 2240\| ## Dataset Creation ### Curation Rationale [Needs More Information] ### Source Data #### Initial Data Collection and Normalization [Needs More Information] #### Who are the source language producers? [Needs More Information] ### Annotations #### Annotation process With insights from a meticulous in-house pilot study with ten students over two weeks, the authors posed the conversation generation task on Amazon Mechanical Turk (AMT) in the most natural setup: Each crowdworker was asked to build a conversation by asking five sequential questions starting from any seed entity of his/her choice, as this is an intuitive mental model that humans may have when satisfying their real information needs via their search assistants. #### Who are the annotators? Local students (Saarland Informatics Campus) and AMT Master Workers. ### Personal and Sensitive Information [Needs More Information] ## Considerations for Using the Data ### Social Impact of Dataset [Needs More Information] ### Discussion of Biases [Needs More Information] ### Other Known Limitations [Needs More Information] ## Additional Information ### Dataset Curators [Needs More Information] ### Licensing Information The ConvQuestions benchmark is licensed under a Creative Commons Attribution 4.0 International License. ### Citation Information ``` @InProceedings{christmann2019look, title={Look before you hop: Conversational question answering over knowledge graphs using judicious context expansion}, author={Christmann, Philipp and Saha Roy, Rishiraj and Abujabal, Abdalghani and Singh, Jyotsna and Weikum, Gerhard}, booktitle={Proceedings of the 28th ACM International Conference on Information and Knowledge Management}, pages={729--738}, year={2019} } ``` ### Contributions Thanks to [@PhilippChr](https://github.com/PhilippChr) for adding this dataset.	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gooaq	null	2023-01-25T14:31:10Z	313	3	[ "task_categories:question-answering", "task_ids:open-domain-qa", "annotations_creators:expert-generated", "language_creators:machine-generated", "multilinguality:monolingual", "size_categories:1M<n<10M", "source_datasets:original", "language:en", "license:apache-2.0", "arxiv:2104.08727", "region:us" ]	[ "question-answering" ]	2022-03-02T23:29:22Z	--- annotations_creators: - expert-generated language_creators: - machine-generated language: - en license: - apache-2.0 multilinguality: - monolingual size_categories: - 1M<n<10M source_datasets: - original task_categories: - question-answering task_ids: - open-domain-qa paperswithcode_id: gooaq pretty_name: 'GooAQ: Open Question Answering with Diverse Answer Types' dataset_info: features: - name: id dtype: int32 - name: question dtype: string - name: short_answer dtype: string - name: answer dtype: string - name: answer_type dtype: class_label: names: '0': feat_snip '1': collection '2': knowledge '3': unit_conv '4': time_conv '5': curr_conv splits: - name: train num_bytes: 974320061 num_examples: 3112679 - name: validation num_bytes: 444553 num_examples: 2500 - name: test num_bytes: 445810 num_examples: 2500 download_size: 2111358901 dataset_size: 975210424 --- # Dataset Card for GooAQ ## 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: [GooAQ 🥑: Google Answers to Google Questions!](https://github.com/allenai/gooaq) - Repository: [GooAQ 🥑: Google Answers to Google Questions!](https://github.com/allenai/gooaq) - Paper: [GOOAQ: Open Question Answering with Diverse Answer Types](https://arxiv.org/abs/2104.08727) - Point of Contact: [Daniel Khashabi]([email protected]) ### Dataset Summary GooAQ is a large-scale dataset with a variety of answer types. This dataset contains over 5 million questions and 3 million answers collected from Google. GooAQ questions are collected semi-automatically from the Google search engine using its autocomplete feature. This results in naturalistic questions of practical interest that are nonetheless short and expressed using simple language. GooAQ answers are mined from Google's responses to our collected questions, specifically from the answer boxes in the search results. This yields a rich space of answer types, containing both textual answers (short and long) as well as more structured ones such as collections. ### Supported Tasks and Leaderboards [More Information Needed] ### Languages The dataset contains samples in English only. ## Dataset Structure ### Data Instances Each row of the data file should look like this: ``` { "id": 3339543, "question": "what is the difference between collagen and whey protein?", "short_answer": None, "answer": "The main differences between the amino acid profiles of whey and collagen are that whey contains all 9 essential amino acids, while collagen only has 8. ... Collagen is a fibrous protein found in the skin, cartilage, and bones of animals whereas whey comes from milk.", "answer_type": "feat_snip" } ``` where the questions `question` are collected via Google auto-complete. The answers responses (`short_answer` and `answer`) were collected from Google's answer boxes. The answer types (`answer_type`) are inferred based on the html content of Google's response. Here is the dominant types in the current dataset: - `feat_snip`: explanatory responses; the majoriy the question/responses are of this type. - `collection`: list responses (e.g., steps to accomplish something). - `knowledge`: typically short responses for knowledge seeking questions. - `unit_conv`: questions about converting units. - `time_conv`: questions about converting times. - `curr_conv`: questions about converting currencies. Dataset instances which are not part of dominant types are marked with -1 label. ### Data Fields - `id`: an `int` feature. - `question`: a `string` feature. - `short_answer`: a `string` feature (could be None as well in some cases). - `answer`: a `string` feature (could be None as well in some cases). - `answer_type`: a `string` feature. ### Data Splits Number of samples in train/validation/test set are given below: \| Split \| Number of samples \| \|------------\|-------------------\| \| Train \| 3112679 \| \| Validation \| 2500 \| \| Test \| 2500 \| ## Dataset Creation ### Curation Rationale While day-to-day questions come with a variety of answer types, the current question-answering (QA) literature has failed to adequately address the answer diversity of questions. Many of the everyday questions that humans deal with and pose to search engines have a more diverse set of responses. Their answer can be a multi-sentence description (a snippet) (e.g., ‘what is’ or ‘can you’ questions), a collection of items such as ingredients (‘what are’, ‘things to’) or of steps towards a goal such as unlocking a phone (‘how to’), etc. Even when the answer is short, it can have richer types, e.g., unit conversion, time zone conversion, or various kinds of knowledge look-up (‘how much’, ‘when is’, etc.). Such answer type diversity is not represented in any existing dataset. ### Source Data #### Initial Data Collection and Normalization Construction this dataset involved two main steps, extracting questions from search auto-complete and extracting answers from answer boxes. 1) Query Extraction: To extract a rich yet natural set of questions they used Google auto-completion. They start with a seed set of question terms (e.g., “who”, “where”, etc.). They bootstrap based on this set, by repeatedly querying prefixes of previously extracted questions, in order to discover longer and richer sets of questions. Such questions extracted from the autocomplete algorithm are highly reflective of popular questions posed by users of Google. They filter out any questions shorter than 5 tokens as they are often in-complete questions. This process yields over ∼5M questions, which were collected over a span of 6 months. The average length of the questions is about 8 tokens. 2) Answer Extraction: They rely on the Google answer boxes shown on top of the search results when the questions are issued to Google. There are a variety of answer boxes. The most common kind involves highlighted sentences (extracted from various websites) that contain the answer to a given question. These form the snippet and collection answers in GOOAQ. In some cases, the answer box shows the answer directly, possibly in addition to the textual snippet. These form theshort answers in GOOAQ. They first scrape the search results for all questions. This is the main extraction bottleneck, which was done over a span of 2 months. Subsequently, they extract answer strings from the HTML content of the search results. Answer types are also inferred at this stage, based on the HTML tags around the answer. #### Who are the source language producers? Answered above. ### Annotations #### Annotation process Answered in above section. #### Who are the annotators? Since their task is focused on English, they required workers to be based in a country with a population predominantly of native English speakers (e.g., USA, Canada, UK, and Australia) and have completed at least 5000 HITs with ≥ 99% assignment approval rate. Additionally, they have a qualification test with half-a-dozen questions all of which need to be answered correctly by the annotators. ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases To prevent biased judgements, they also ask the annotators to avoid using Google search (which is what they used when mined GOOAQ) when annotating the quality of shown instances. ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators List the people involved in collecting the dataset and their affiliation(s). If funding information is known, include it here. ### Licensing Information Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. ### Citation Information ``` @article{gooaq2021, title={GooAQ: Open Question Answering with Diverse Answer Types}, author={Khashabi, Daniel and Ng, Amos and Khot, Tushar and Sabharwal, Ashish and Hajishirzi, Hannaneh and Callison-Burch, Chris}, journal={arXiv preprint}, year={2021} } ``` ### Contributions Thanks to [@bhavitvyamalik](https://github.com/bhavitvyamalik) for adding this dataset.	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kor_qpair	null	2023-01-25T14:34:00Z	313	2	[ "task_categories:text-classification", "task_ids:semantic-similarity-classification", "annotations_creators:expert-generated", "language_creators:other", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:ko", "license:mit", "region:us" ]	[ "text-classification" ]	2022-03-02T23:29:22Z	--- annotations_creators: - expert-generated language_creators: - other language: - ko license: - mit multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - text-classification task_ids: - semantic-similarity-classification pretty_name: KorQpair dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: is_duplicate dtype: class_label: names: '0': '0' '1': '1' splits: - name: train num_bytes: 515365 num_examples: 6136 - name: test num_bytes: 63466 num_examples: 758 - name: validation num_bytes: 57242 num_examples: 682 download_size: 545236 dataset_size: 636073 --- # Dataset Card for [Dataset Name] ## 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: [Github](https://github.com/songys/Question_pair) - Repository: [Github](https://github.com/songys/Question_pair) - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary [More Information Needed] ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields Each row in the dataset contains two questions and a `is_duplicate` label. - `question1`: The first question - `question2`: The second question - `is_duplicate`: 0 if `question1` and `question2` are semantically similar; 1 otherwise ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions Thanks to [@jaketae](https://github.com/jaketae) for adding this dataset.	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GEM/dart	GEM	2022-10-24T15:30:16Z	313	0	[ "task_categories:table-to-text", "annotations_creators:none", "language_creators:unknown", "multilinguality:unknown", "size_categories:unknown", "source_datasets:original", "language:en", "license:mit", "data-to-text", "arxiv:1910.13461", "arxiv:1908.09022", "arxiv:2007.02871", "arxiv:1709.00103", "arxiv:1706.09254", "arxiv:1810.01170", "region:us" ]	[ "table-to-text" ]	2022-03-02T23:29:22Z	--- annotations_creators: - none language_creators: - unknown language: - en license: - mit multilinguality: - unknown size_categories: - unknown source_datasets: - original task_categories: - table-to-text task_ids: [] pretty_name: dart tags: - data-to-text --- # Dataset Card for GEM/dart ## Dataset Description - Homepage: n/a - Repository: https://github.com/Yale-LILY/dart - Paper: https://aclanthology.org/2021.naacl-main.37/ - Leaderboard: https://github.com/Yale-LILY/dart#leaderboard - Point of Contact: Dragomir Radev, Rui Zhang, Nazneen Rajani ### Link to Main Data Card You can find the main data card on the [GEM Website](https://gem-benchmark.com/data_cards/dart). ### Dataset Summary DART is an English dataset aggregating multiple other data-to-text dataset in a common triple-based format. The new format is completely flat, thus not requiring a model to learn hierarchical structures, while still retaining the full information. You can load the dataset via: ``` import datasets data = datasets.load_dataset('GEM/dart') ``` The data loader can be found [here](https://huggingface.co/datasets/GEM/dart). #### website n/a #### paper [ACL Anthology](https://aclanthology.org/2021.naacl-main.37/) #### authors Linyong Nan, Dragomir Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani ## Dataset Overview ### Where to find the Data and its Documentation #### Download <!-- info: What is the link to where the original dataset is hosted? --> <!-- scope: telescope --> [Github](https://github.com/Yale-LILY/dart) #### Paper <!-- info: What is the link to the paper describing the dataset (open access preferred)? --> <!-- scope: telescope --> [ACL Anthology](https://aclanthology.org/2021.naacl-main.37/) #### BibTex <!-- info: Provide the BibTex-formatted reference for the dataset. Please use the correct published version (ACL anthology, etc.) instead of google scholar created Bibtex. --> <!-- scope: microscope --> ``` @inproceedings{nan-etal-2021-dart, title = "{DART}: Open-Domain Structured Data Record to Text Generation", author = "Nan, Linyong and Radev, Dragomir and Zhang, Rui and Rau, Amrit and Sivaprasad, Abhinand and Hsieh, Chiachun and Tang, Xiangru and Vyas, Aadit and Verma, Neha and Krishna, Pranav and Liu, Yangxiaokang and Irwanto, Nadia and Pan, Jessica and Rahman, Faiaz and Zaidi, Ahmad and Mutuma, Mutethia and Tarabar, Yasin and Gupta, Ankit and Yu, Tao and Tan, Yi Chern and Lin, Xi Victoria and Xiong, Caiming and Socher, Richard and Rajani, Nazneen Fatema", booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies", month = jun, year = "2021", address = "Online", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2021.naacl-main.37", doi = "10.18653/v1/2021.naacl-main.37", pages = "432--447", abstract = "We present DART, an open domain structured DAta Record to Text generation dataset with over 82k instances (DARTs). Data-to-text annotations can be a costly process, especially when dealing with tables which are the major source of structured data and contain nontrivial structures. To this end, we propose a procedure of extracting semantic triples from tables that encodes their structures by exploiting the semantic dependencies among table headers and the table title. Our dataset construction framework effectively merged heterogeneous sources from open domain semantic parsing and spoken dialogue systems by utilizing techniques including tree ontology annotation, question-answer pair to declarative sentence conversion, and predicate unification, all with minimum post-editing. We present systematic evaluation on DART as well as new state-of-the-art results on WebNLG 2017 to show that DART (1) poses new challenges to existing data-to-text datasets and (2) facilitates out-of-domain generalization. Our data and code can be found at https://github.com/Yale-LILY/dart.", } ``` #### Contact Name <!-- quick --> <!-- info: If known, provide the name of at least one person the reader can contact for questions about the dataset. --> <!-- scope: periscope --> Dragomir Radev, Rui Zhang, Nazneen Rajani #### Contact Email <!-- info: If known, provide the email of at least one person the reader can contact for questions about the dataset. --> <!-- scope: periscope --> {dragomir.radev, r.zhang}@yale.edu, {nazneen.rajani}@salesforce.com #### Has a Leaderboard? <!-- info: Does the dataset have an active leaderboard? --> <!-- scope: telescope --> yes #### Leaderboard Link <!-- info: Provide a link to the leaderboard. --> <!-- scope: periscope --> [Leaderboard](https://github.com/Yale-LILY/dart#leaderboard) #### Leaderboard Details <!-- info: Briefly describe how the leaderboard evaluates models. --> <!-- scope: microscope --> Several state-of-the-art table-to-text models were evaluated on DART, such as BART ([Lewis et al., 2020](https://arxiv.org/pdf/1910.13461.pdf)), Seq2Seq-Att ([MELBOURNE](https://webnlg-challenge.loria.fr/files/melbourne_report.pdf)) and End-to-End Transformer ([Castro Ferreira et al., 2019](https://arxiv.org/pdf/1908.09022.pdf)). The leaderboard reports BLEU, METEOR, TER, MoverScore, BERTScore and BLEURT scores. ### Languages and Intended Use #### Multilingual? <!-- quick --> <!-- info: Is the dataset multilingual? --> <!-- scope: telescope --> no #### Covered Dialects <!-- info: What dialects are covered? Are there multiple dialects per language? --> <!-- scope: periscope --> It is an aggregated from multiple other datasets that use general US-American or British English without differentiation between dialects. #### Covered Languages <!-- quick --> <!-- info: What languages/dialects are covered in the dataset? --> <!-- scope: telescope --> `English` #### Whose Language? <!-- info: Whose language is in the dataset? --> <!-- scope: periscope --> The dataset is aggregated from multiple others that were crowdsourced on different platforms. #### License <!-- quick --> <!-- info: What is the license of the dataset? --> <!-- scope: telescope --> mit: MIT License #### Intended Use <!-- info: What is the intended use of the dataset? --> <!-- scope: microscope --> The dataset is aimed to further research in natural language generation from semantic data. #### Primary Task <!-- info: What primary task does the dataset support? --> <!-- scope: telescope --> Data-to-Text #### Communicative Goal <!-- quick --> <!-- info: Provide a short description of the communicative goal of a model trained for this task on this dataset. --> <!-- scope: periscope --> The speaker is required to produce coherent sentences and construct a trees structured ontology of the column headers. ### Credit #### Curation Organization Type(s) <!-- info: In what kind of organization did the dataset curation happen? --> <!-- scope: telescope --> `academic`, `industry` #### Curation Organization(s) <!-- info: Name the organization(s). --> <!-- scope: periscope --> Yale University, Salesforce Research, Penn State University, The University of Hong Kong, MIT #### Dataset Creators <!-- info: Who created the original dataset? List the people involved in collecting the dataset and their affiliation(s). --> <!-- scope: microscope --> Linyong Nan, Dragomir Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani #### Who added the Dataset to GEM? <!-- info: Who contributed to the data card and adding the dataset to GEM? List the people+affiliations involved in creating this data card and who helped integrate this dataset into GEM. --> <!-- scope: microscope --> Miruna Clinciu contributed the original data card and Yacine Jernite wrote the initial data loader. Sebastian Gehrmann migrated the data card and the loader to the new format. ### Dataset Structure #### Data Fields <!-- info: List and describe the fields present in the dataset. --> <!-- scope: telescope --> -`tripleset`: a list of tuples, each tuple has 3 items -`subtree_was_extended`: a boolean variable (true or false) -`annotations`: a list of dict, each with source and text keys. -`source`: a string mentioning the name of the source table. -`text`: a sentence string. #### Reason for Structure <!-- info: How was the dataset structure determined? --> <!-- scope: microscope --> The structure is supposed to be able more complex structures beyond "flat" attribute-value pairs, instead encoding hierarchical relationships. #### How were labels chosen? <!-- info: How were the labels chosen? --> <!-- scope: microscope --> They are a combination of those from existing datasets and new annotations that take advantage of the hierarchical structure #### Example Instance <!-- info: Provide a JSON formatted example of a typical instance in the dataset. --> <!-- scope: periscope --> ``` { "tripleset": [ [ "Ben Mauk", "High school", "Kenton" ], [ "Ben Mauk", "College", "Wake Forest Cincinnati" ] ], "subtree_was_extended": false, "annotations": [ { "source": "WikiTableQuestions_lily", "text": "Ben Mauk, who attended Kenton High School, attended Wake Forest Cincinnati for college." } ] } ``` #### Data Splits <!-- info: Describe and name the splits in the dataset if there are more than one. --> <!-- scope: periscope --> \|Input Unit \| Examples \| Vocab Size \| Words per SR \| Sents per SR \| Tables \| \| ------------- \| ------------- \|\| ------------- \|\| ------------- \|\| ------------- \|\| ------------- \| \|Triple Set \| 82,191 \| 33.2K \| 21.6 \| 1.5 \| 5,623 \| \| Train \| Dev \| Test\| \| ------------- \| ------------- \|\| ------------- \| \| 62,659 \| 6,980 \| 12,552\| Statistics of DART decomposed by different collection methods. DART exhibits a great deal of topical variety in terms of the number of unique predicates, the number of unique triples, and the vocabulary size. These statistics are computed from DART v1.1.1; the number of unique predicates reported is post-unification (see Section 3.4). SR: Surface Realization. ([details in Table 1 and 2](https://arxiv.org/pdf/2007.02871.pdf)). #### Splitting Criteria <!-- info: Describe any criteria for splitting the data, if used. If there are differences between the splits (e.g., if the training annotations are machine-generated and the dev and test ones are created by humans, or if different numbers of annotators contributed to each example), describe them here. --> <!-- scope: microscope --> For WebNLG 2017 and Cleaned E2E, DART use the original data splits. For the new annotation on WikiTableQuestions and WikiSQL, random splitting will make train, dev, and test splits contain similar tables and similar <triple-set, sentence> examples. They are thus split based on Jaccard similarity such that no training examples has a similarity with a test example of over 0.5 ## Dataset in GEM ### Rationale for Inclusion in GEM #### Why is the Dataset in GEM? <!-- info: What does this dataset contribute toward better generation evaluation and why is it part of GEM? --> <!-- scope: microscope --> DART is a large and open-domain structured DAta Record to Text generation corpus with high-quality sentence annotations with each input being a set of entity-relation triples following a tree-structured ontology. #### Similar Datasets <!-- info: Do other datasets for the high level task exist? --> <!-- scope: telescope --> yes #### Unique Language Coverage <!-- info: Does this dataset cover other languages than other datasets for the same task? --> <!-- scope: periscope --> no #### Difference from other GEM datasets <!-- info: What else sets this dataset apart from other similar datasets in GEM? --> <!-- scope: microscope --> The tree structure is unique among GEM datasets #### Ability that the Dataset measures <!-- info: What aspect of model ability can be measured with this dataset? --> <!-- scope: periscope --> Reasoning, surface realization ### GEM-Specific Curation #### Modificatied for GEM? <!-- info: Has the GEM version of the dataset been modified in any way (data, processing, splits) from the original curated data? --> <!-- scope: telescope --> no #### Additional Splits? <!-- info: Does GEM provide additional splits to the dataset? --> <!-- scope: telescope --> no ### Getting Started with the Task #### Pointers to Resources <!-- info: Getting started with in-depth research on the task. Add relevant pointers to resources that researchers can consult when they want to get started digging deeper into the task. --> <!-- scope: microscope --> Experimental results on DART shows that BART model as the highest performance among three models with a BLEU score of 37.06. This is attributed to BART’s generalization ability due to pretraining ([Table 4](https://arxiv.org/pdf/2007.02871.pdf)). ## Previous Results ### Previous Results #### Measured Model Abilities <!-- info: What aspect of model ability can be measured with this dataset? --> <!-- scope: telescope --> Reasoning, surface realization #### Metrics <!-- info: What metrics are typically used for this task? --> <!-- scope: periscope --> `BLEU`, `MoverScore`, `BERT-Score`, `BLEURT` #### Proposed Evaluation <!-- info: List and describe the purpose of the metrics and evaluation methodology (including human evaluation) that the dataset creators used when introducing this task. --> <!-- scope: microscope --> The leaderboard uses the combination of BLEU, METEOR, TER, MoverScore, BERTScore, PARENT and BLEURT to overcome the limitations of the n-gram overlap metrics. A small scale human annotation of 100 data points was conducted along the dimensions of (1) fluency - a sentence is natural and grammatical, and (2) semantic faithfulness - a sentence is supported by the input triples. #### Previous results available? <!-- info: Are previous results available? --> <!-- scope: telescope --> yes #### Other Evaluation Approaches <!-- info: What evaluation approaches have others used? --> <!-- scope: periscope --> n/a #### Relevant Previous Results <!-- info: What are the most relevant previous results for this task/dataset? --> <!-- scope: microscope --> BART currently achieves the best performance according to the leaderboard. ## Dataset Curation ### Original Curation #### Original Curation Rationale <!-- info: Original curation rationale --> <!-- scope: telescope --> The dataset creators encourage through DART further research in natural language generation from semantic data. DART provides high-quality sentence annotations with each input being a set of entity-relation triples in a tree structure. #### Communicative Goal <!-- info: What was the communicative goal? --> <!-- scope: periscope --> The speaker is required to produce coherent sentences and construct a trees structured ontology of the column headers. #### Sourced from Different Sources <!-- info: Is the dataset aggregated from different data sources? --> <!-- scope: telescope --> yes #### Source Details <!-- info: List the sources (one per line) --> <!-- scope: periscope --> - human annotation on open-domain Wikipedia tables from WikiTableQuestions ([Pasupat and Liang, 2015](https://www.aclweb.org/anthology/P15-1142.pdf)) and WikiSQL ([Zhong et al., 2017](https://arxiv.org/pdf/1709.00103.pdf)) - automatic conversion of questions in WikiSQL to declarative sentences - incorporation of existing datasets including WebNLG 2017 (Gardent et al., 2017[a](https://www.aclweb.org/anthology/P17-1017.pdf),[b](https://www.aclweb.org/anthology/W17-3518.pdf); [Shimorina and Gardent, 2018](https://www.aclweb.org/anthology/W18-6543.pdf)) and Cleaned E2E ([Novikova et al., 2017b](https://arxiv.org/pdf/1706.09254.pdf); Dušek et al., [2018](https://arxiv.org/pdf/1810.01170.pdf), [2019](https://www.aclweb.org/anthology/W19-8652.pdf)) ### Language Data #### How was Language Data Obtained? <!-- info: How was the language data obtained? --> <!-- scope: telescope --> `Found`, `Created for the dataset` #### Where was it found? <!-- info: If found, where from? --> <!-- scope: telescope --> `Offline media collection` #### Creation Process <!-- info: If created for the dataset, describe the creation process. --> <!-- scope: microscope --> Creators proposed a two-stage annotation process for constructing triple set sentence pairs based on a tree-structured ontology of each table. First, internal skilled annotators denote the parent column for each column header. Then, a larger number of annotators provide a sentential description of an automatically-chosen subset of table cells in a row. To form a triple set sentence pair, the highlighted cells can be converted to a connected triple set automatically according to the column ontology for the given table. #### Language Producers <!-- info: What further information do we have on the language producers? --> <!-- scope: microscope --> No further information about the MTurk workers has been provided. #### Topics Covered <!-- info: Does the language in the dataset focus on specific topics? How would you describe them? --> <!-- scope: periscope --> The sub-datasets are from Wikipedia, DBPedia, and artificially created restaurant data. #### Data Validation <!-- info: Was the text validated by a different worker or a data curator? --> <!-- scope: telescope --> validated by crowdworker #### Was Data Filtered? <!-- info: Were text instances selected or filtered? --> <!-- scope: telescope --> not filtered ### Structured Annotations #### Additional Annotations? <!-- quick --> <!-- info: Does the dataset have additional annotations for each instance? --> <!-- scope: telescope --> none #### Annotation Service? <!-- info: Was an annotation service used? --> <!-- scope: telescope --> no ### Consent #### Any Consent Policy? <!-- info: Was there a consent policy involved when gathering the data? --> <!-- scope: telescope --> no #### Justification for Using the Data <!-- info: If not, what is the justification for reusing the data? --> <!-- scope: microscope --> The new annotations are based on Wikipedia which is in the public domain and the other two datasets permit reuse (with attribution) ### Private Identifying Information (PII) #### Contains PII? <!-- quick --> <!-- info: Does the source language data likely contain Personal Identifying Information about the data creators or subjects? --> <!-- scope: telescope --> no PII #### Justification for no PII <!-- info: Provide a justification for selecting `no PII` above. --> <!-- scope: periscope --> None of the datasets talk about individuals ### Maintenance #### Any Maintenance Plan? <!-- info: Does the original dataset have a maintenance plan? --> <!-- scope: telescope --> no ## Broader Social Context ### Previous Work on the Social Impact of the Dataset #### Usage of Models based on the Data <!-- info: Are you aware of cases where models trained on the task featured in this dataset ore related tasks have been used in automated systems? --> <!-- scope: telescope --> no ### Impact on Under-Served Communities #### Addresses needs of underserved Communities? <!-- info: Does this dataset address the needs of communities that are traditionally underserved in language technology, and particularly language generation technology? Communities may be underserved for exemple because their language, language variety, or social or geographical context is underepresented in NLP and NLG resources (datasets and models). --> <!-- scope: telescope --> no ### Discussion of Biases #### Any Documented Social Biases? <!-- info: Are there documented social biases in the dataset? Biases in this context are variations in the ways members of different social categories are represented that can have harmful downstream consequences for members of the more disadvantaged group. --> <!-- scope: telescope --> no #### Are the Language Producers Representative of the Language? <!-- info: Does the distribution of language producers in the dataset accurately represent the full distribution of speakers of the language world-wide? If not, how does it differ? --> <!-- scope: periscope --> No, the annotators are raters on crowdworking platforms and thus only represent their demographics. ## Considerations for Using the Data ### PII Risks and Liability ### Licenses #### Copyright Restrictions on the Dataset <!-- info: Based on your answers in the Intended Use part of the Data Overview Section, which of the following best describe the copyright and licensing status of the dataset? --> <!-- scope: periscope --> `open license - commercial use allowed` #### Copyright Restrictions on the Language Data <!-- info: Based on your answers in the Language part of the Data Curation Section, which of the following best describe the copyright and licensing status of the underlying language data? --> <!-- scope: periscope --> `open license - commercial use allowed` ### Known Technical Limitations #### Technical Limitations <!-- info: Describe any known technical limitations, such as spurrious correlations, train/test overlap, annotation biases, or mis-annotations, and cite the works that first identified these limitations when possible. --> <!-- scope: microscope --> The dataset may contain some social biases, as the input sentences are based on Wikipedia (WikiTableQuestions, WikiSQL, WebNLG). Studies have shown that the English Wikipedia contains gender biases([Dinan et al., 2020](https://www.aclweb.org/anthology/2020.emnlp-main.23.pdf)), racial biases([Papakyriakopoulos et al., 2020 (https://dl.acm.org/doi/pdf/10.1145/3351095.3372843)) and geographical bias([Livingstone et al., 2010](https://doi.org/10.5204/mcj.315)). [More info](https://en.wikipedia.org/wiki/Racial_bias_on_Wikipedia#cite_note-23). #### Unsuited Applications <!-- info: When using a model trained on this dataset in a setting where users or the public may interact with its predictions, what are some pitfalls to look out for? In particular, describe some applications of the general task featured in this dataset that its curation or properties make it less suitable for. --> <!-- scope: microscope --> The end-to-end transformer has the lowest performance since the transformer model needs intermediate pipeline planning steps to have higher performance. Similar findings can be found in [Castro Ferreira et al., 2019](https://arxiv.org/pdf/1908.09022.pdf).	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IlyaGusev/oasst1_ru_main_branch	IlyaGusev	2023-09-15T20:58:01Z	313	3	[ "task_categories:conversational", "task_categories:text-generation", "size_categories:1K<n<10K", "language:ru", "license:apache-2.0", "region:us" ]	[ "conversational", "text-generation" ]	2023-04-15T18:16:15Z	--- language: - ru license: apache-2.0 size_categories: - 1K<n<10K task_categories: - conversational - text-generation dataset_info: features: - name: messages sequence: - name: role dtype: string - name: content dtype: string - name: id dtype: string splits: - name: train num_bytes: 2040115 num_examples: 614 download_size: 2105736 dataset_size: 2040115 --- * Based on [oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1). * Only Russian message trees, only main branches. * Script: [get_oasst_ru.py](https://github.com/IlyaGusev/rulm/blob/master/self_instruct/src/data_processing/get_oasst_ru.py)	[ 0.2646355926990509, -0.767301082611084, 0.40991491079330444, 0.15153342485427856, -0.4082253873348236, 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open-llm-leaderboard/details_PocketDoc__Dans-PileOfSets-Mk1-llama-13b-merged	open-llm-leaderboard	2023-09-17T21:54:32Z	313	0	[ "region:us" ]	null	2023-08-18T08:30:00Z	--- pretty_name: Evaluation run of PocketDoc/Dans-PileOfSets-Mk1-llama-13b-merged dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [PocketDoc/Dans-PileOfSets-Mk1-llama-13b-merged](https://huggingface.co/PocketDoc/Dans-PileOfSets-Mk1-llama-13b-merged)\ \ 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_PocketDoc__Dans-PileOfSets-Mk1-llama-13b-merged\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-17T21:54:20.873992](https://huggingface.co/datasets/open-llm-leaderboard/details_PocketDoc__Dans-PileOfSets-Mk1-llama-13b-merged/blob/main/results_2023-09-17T21-54-20.873992.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.001572986577181208,\n\ \ \"em_stderr\": 0.0004058451132417743,\n \"f1\": 0.057128775167785376,\n\ \ \"f1_stderr\": 0.001288342539357545,\n \"acc\": 0.4232772429904026,\n\ \ \"acc_stderr\": 0.009826580746076554\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.001572986577181208,\n \"em_stderr\": 0.0004058451132417743,\n\ \ \"f1\": 0.057128775167785376,\n \"f1_stderr\": 0.001288342539357545\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.08491281273692192,\n \ \ \"acc_stderr\": 0.007678212824450797\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7616416732438832,\n \"acc_stderr\": 0.011974948667702311\n\ \ }\n}\n```" repo_url: https://huggingface.co/PocketDoc/Dans-PileOfSets-Mk1-llama-13b-merged 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_07_18T14_55_50.956867 path: - '/details_harness\|arc:challenge\|25_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-07-18T14:55:50.956867.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_17T21_54_20.873992 path: - '/details_harness\|drop\|3_2023-09-17T21-54-20.873992.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-17T21-54-20.873992.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_17T21_54_20.873992 path: - '/details_harness\|gsm8k\|5_2023-09-17T21-54-20.873992.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-17T21-54-20.873992.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hellaswag\|10_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-18T14:55:50.956867.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-management\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-18T14:55:50.956867.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_18T14_55_50.956867 path: - '/details_harness\|truthfulqa:mc\|0_2023-07-18T14:55:50.956867.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-07-18T14:55:50.956867.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_17T21_54_20.873992 path: - '/details_harness\|winogrande\|5_2023-09-17T21-54-20.873992.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-17T21-54-20.873992.parquet' - config_name: results data_files: - split: 2023_07_18T14_55_50.956867 path: - results_2023-07-18T14:55:50.956867.parquet - split: 2023_09_17T21_54_20.873992 path: - results_2023-09-17T21-54-20.873992.parquet - split: latest path: - results_2023-09-17T21-54-20.873992.parquet --- # Dataset Card for Evaluation run of PocketDoc/Dans-PileOfSets-Mk1-llama-13b-merged ## Dataset Description - Homepage: - Repository: https://huggingface.co/PocketDoc/Dans-PileOfSets-Mk1-llama-13b-merged - 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 [PocketDoc/Dans-PileOfSets-Mk1-llama-13b-merged](https://huggingface.co/PocketDoc/Dans-PileOfSets-Mk1-llama-13b-merged) 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_PocketDoc__Dans-PileOfSets-Mk1-llama-13b-merged", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-17T21:54:20.873992](https://huggingface.co/datasets/open-llm-leaderboard/details_PocketDoc__Dans-PileOfSets-Mk1-llama-13b-merged/blob/main/results_2023-09-17T21-54-20.873992.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.001572986577181208, "em_stderr": 0.0004058451132417743, "f1": 0.057128775167785376, "f1_stderr": 0.001288342539357545, "acc": 0.4232772429904026, "acc_stderr": 0.009826580746076554 }, "harness\|drop\|3": { "em": 0.001572986577181208, "em_stderr": 0.0004058451132417743, "f1": 0.057128775167785376, "f1_stderr": 0.001288342539357545 }, "harness\|gsm8k\|5": { "acc": 0.08491281273692192, "acc_stderr": 0.007678212824450797 }, "harness\|winogrande\|5": { "acc": 0.7616416732438832, "acc_stderr": 0.011974948667702311 } } ``` ### 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]	[ -0.47734302282333374, -0.6540875434875488, 0.3033548891544342, 0.17921730875968933, -0.30503401160240173, 0.1463925689458847, -0.32537174224853516, -0.11094660311937332, 0.45218625664711, 0.6125764846801758, -0.6781277060508728, -0.8857880234718323, -0.7595430612564087, 0.2341870665550232, -0.3289911150932312, 1.1107701063156128, -0.18845590949058533, -0.25167733430862427, -0.03623379394412041, -0.23554913699626923, -0.24904629588127136, -0.32446935772895813, -0.35313680768013, 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open-llm-leaderboard/details_TheTravellingEngineer__llama2-7b-chat-hf-guanaco	open-llm-leaderboard	2023-09-16T15:24:21Z	313	0	[ "region:us" ]	null	2023-08-18T11:13:44Z	--- pretty_name: Evaluation run of TheTravellingEngineer/llama2-7b-chat-hf-guanaco dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [TheTravellingEngineer/llama2-7b-chat-hf-guanaco](https://huggingface.co/TheTravellingEngineer/llama2-7b-chat-hf-guanaco)\ \ 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_TheTravellingEngineer__llama2-7b-chat-hf-guanaco\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-16T15:24:09.297572](https://huggingface.co/datasets/open-llm-leaderboard/details_TheTravellingEngineer__llama2-7b-chat-hf-guanaco/blob/main/results_2023-09-16T15-24-09.297572.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\": 0.0028313758389261743,\n\ \ \"em_stderr\": 0.0005441551135494218,\n \"f1\": 0.05759857382550368,\n\ \ \"f1_stderr\": 0.0013970900427636582,\n \"acc\": 0.4074763654032228,\n\ \ \"acc_stderr\": 0.01009856180825454\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0028313758389261743,\n \"em_stderr\": 0.0005441551135494218,\n\ \ \"f1\": 0.05759857382550368,\n \"f1_stderr\": 0.0013970900427636582\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.08567096285064443,\n \ \ \"acc_stderr\": 0.007709218855882777\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7292817679558011,\n \"acc_stderr\": 0.012487904760626304\n\ \ }\n}\n```" repo_url: https://huggingface.co/TheTravellingEngineer/llama2-7b-chat-hf-guanaco 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_02T15_25_50.809561 path: - '/details_harness\|arc:challenge\|25_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-02T15:25:50.809561.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_16T15_24_09.297572 path: - '/details_harness\|drop\|3_2023-09-16T15-24-09.297572.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-16T15-24-09.297572.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_16T15_24_09.297572 path: - '/details_harness\|gsm8k\|5_2023-09-16T15-24-09.297572.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-16T15-24-09.297572.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hellaswag\|10_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-02T15:25:50.809561.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-02T15:25:50.809561.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_02T15_25_50.809561 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-02T15:25:50.809561.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-02T15:25:50.809561.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_16T15_24_09.297572 path: - '/details_harness\|winogrande\|5_2023-09-16T15-24-09.297572.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-16T15-24-09.297572.parquet' - config_name: results data_files: - split: 2023_08_02T15_25_50.809561 path: - results_2023-08-02T15:25:50.809561.parquet - split: 2023_09_16T15_24_09.297572 path: - results_2023-09-16T15-24-09.297572.parquet - split: latest path: - results_2023-09-16T15-24-09.297572.parquet --- # Dataset Card for Evaluation run of TheTravellingEngineer/llama2-7b-chat-hf-guanaco ## Dataset Description - Homepage: - Repository: https://huggingface.co/TheTravellingEngineer/llama2-7b-chat-hf-guanaco - 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 [TheTravellingEngineer/llama2-7b-chat-hf-guanaco](https://huggingface.co/TheTravellingEngineer/llama2-7b-chat-hf-guanaco) 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_TheTravellingEngineer__llama2-7b-chat-hf-guanaco", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-16T15:24:09.297572](https://huggingface.co/datasets/open-llm-leaderboard/details_TheTravellingEngineer__llama2-7b-chat-hf-guanaco/blob/main/results_2023-09-16T15-24-09.297572.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": 0.0028313758389261743, "em_stderr": 0.0005441551135494218, "f1": 0.05759857382550368, "f1_stderr": 0.0013970900427636582, "acc": 0.4074763654032228, "acc_stderr": 0.01009856180825454 }, "harness\|drop\|3": { "em": 0.0028313758389261743, "em_stderr": 0.0005441551135494218, "f1": 0.05759857382550368, "f1_stderr": 0.0013970900427636582 }, "harness\|gsm8k\|5": { "acc": 0.08567096285064443, "acc_stderr": 0.007709218855882777 }, "harness\|winogrande\|5": { "acc": 0.7292817679558011, "acc_stderr": 0.012487904760626304 } } ``` ### 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]	[ -0.3561753034591675, -0.6688239574432373, 0.1706628054380417, 0.3585030734539032, -0.18920738995075226, 0.1764015555381775, -0.3736944794654846, -0.22946284711360931, 0.3964920938014984, 0.5354671478271484, -0.7181745767593384, -0.9538099765777588, -0.6843629479408264, 0.12547190487384796, -0.19299548864364624, 1.157632827758789, -0.21432259678840637, -0.2849009335041046, -0.010771697387099266, -0.27280300855636597, -0.42867234349250793, -0.3999575078487396, -0.5837415456771851, 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open-llm-leaderboard/details_TheBloke__OpenOrca-Platypus2-13B-GPTQ	open-llm-leaderboard	2023-09-16T19:40:30Z	313	0	[ "region:us" ]	null	2023-08-31T16:41:54Z	--- pretty_name: Evaluation run of TheBloke/OpenOrca-Platypus2-13B-GPTQ dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [TheBloke/OpenOrca-Platypus2-13B-GPTQ](https://huggingface.co/TheBloke/OpenOrca-Platypus2-13B-GPTQ)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_TheBloke__OpenOrca-Platypus2-13B-GPTQ\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-16T19:40:18.805309](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__OpenOrca-Platypus2-13B-GPTQ/blob/main/results_2023-09-16T19-40-18.805309.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\": 0.00776006711409396,\n\ \ \"em_stderr\": 0.0008986296432392665,\n \"f1\": 0.09614198825503374,\n\ \ \"f1_stderr\": 0.001960302320596267,\n \"acc\": 0.43098320760328224,\n\ \ \"acc_stderr\": 0.009951484755350203\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.00776006711409396,\n \"em_stderr\": 0.0008986296432392665,\n\ \ \"f1\": 0.09614198825503374,\n \"f1_stderr\": 0.001960302320596267\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.09401061410159212,\n \ \ \"acc_stderr\": 0.008038819818872464\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7679558011049724,\n \"acc_stderr\": 0.01186414969182794\n\ \ }\n}\n```" repo_url: https://huggingface.co/TheBloke/OpenOrca-Platypus2-13B-GPTQ 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_31T16_41_28.579874 path: - '/details_harness\|arc:challenge\|25_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-31T16:41:28.579874.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_16T19_40_18.805309 path: - '/details_harness\|drop\|3_2023-09-16T19-40-18.805309.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-16T19-40-18.805309.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_16T19_40_18.805309 path: - '/details_harness\|gsm8k\|5_2023-09-16T19-40-18.805309.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-16T19-40-18.805309.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hellaswag\|10_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-31T16:41:28.579874.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-31T16:41:28.579874.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_31T16_41_28.579874 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-31T16:41:28.579874.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-31T16:41:28.579874.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_16T19_40_18.805309 path: - '/details_harness\|winogrande\|5_2023-09-16T19-40-18.805309.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-16T19-40-18.805309.parquet' - config_name: results data_files: - split: 2023_08_31T16_41_28.579874 path: - results_2023-08-31T16:41:28.579874.parquet - split: 2023_09_16T19_40_18.805309 path: - results_2023-09-16T19-40-18.805309.parquet - split: latest path: - results_2023-09-16T19-40-18.805309.parquet --- # Dataset Card for Evaluation run of TheBloke/OpenOrca-Platypus2-13B-GPTQ ## Dataset Description - Homepage: - Repository: https://huggingface.co/TheBloke/OpenOrca-Platypus2-13B-GPTQ - 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 [TheBloke/OpenOrca-Platypus2-13B-GPTQ](https://huggingface.co/TheBloke/OpenOrca-Platypus2-13B-GPTQ) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_TheBloke__OpenOrca-Platypus2-13B-GPTQ", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-16T19:40:18.805309](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__OpenOrca-Platypus2-13B-GPTQ/blob/main/results_2023-09-16T19-40-18.805309.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": 0.00776006711409396, "em_stderr": 0.0008986296432392665, "f1": 0.09614198825503374, "f1_stderr": 0.001960302320596267, "acc": 0.43098320760328224, "acc_stderr": 0.009951484755350203 }, "harness\|drop\|3": { "em": 0.00776006711409396, "em_stderr": 0.0008986296432392665, "f1": 0.09614198825503374, "f1_stderr": 0.001960302320596267 }, "harness\|gsm8k\|5": { "acc": 0.09401061410159212, "acc_stderr": 0.008038819818872464 }, "harness\|winogrande\|5": { "acc": 0.7679558011049724, "acc_stderr": 0.01186414969182794 } } ``` ### 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]	[ -0.38986295461654663, -0.6842784881591797, 0.15809892117977142, 0.221354141831398, -0.21826423704624176, 0.14054809510707855, -0.4141745865345001, -0.20193089544773102, 0.33502891659736633, 0.5454378128051758, -0.5984400510787964, -0.9295962452888489, -0.6037863492965698, 0.11942850798368454, -0.08154851943254471, 1.1662218570709229, -0.3020021915435791, -0.2641850709915161, 0.09883059561252594, -0.33797669410705566, -0.3683697283267975, -0.38497650623321533, -0.5440471172332764, 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open-llm-leaderboard/details_Lazycuber__L2-7b-Orca-WVG-Test	open-llm-leaderboard	2023-10-26T20:44:47Z	313	0	[ "region:us" ]	null	2023-10-10T15:40:01Z	--- pretty_name: Evaluation run of Lazycuber/L2-7b-Orca-WVG-Test dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Lazycuber/L2-7b-Orca-WVG-Test](https://huggingface.co/Lazycuber/L2-7b-Orca-WVG-Test)\ \ 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_Lazycuber__L2-7b-Orca-WVG-Test\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-26T20:44:34.027885](https://huggingface.co/datasets/open-llm-leaderboard/details_Lazycuber__L2-7b-Orca-WVG-Test/blob/main/results_2023-10-26T20-44-34.027885.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\": 0.002202181208053691,\n\ \ \"em_stderr\": 0.00048005108166191996,\n \"f1\": 0.07443687080536941,\n\ \ \"f1_stderr\": 0.0016342523738966323,\n \"acc\": 0.4119262338489193,\n\ \ \"acc_stderr\": 0.009880953290999535\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.002202181208053691,\n \"em_stderr\": 0.00048005108166191996,\n\ \ \"f1\": 0.07443687080536941,\n \"f1_stderr\": 0.0016342523738966323\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0803639120545868,\n \ \ \"acc_stderr\": 0.007488258573239077\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7434885556432518,\n \"acc_stderr\": 0.01227364800875999\n\ \ }\n}\n```" repo_url: https://huggingface.co/Lazycuber/L2-7b-Orca-WVG-Test 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_10T15_39_37.735727 path: - '/details_harness\|arc:challenge\|25_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-10T15-39-37.735727.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_26T20_44_34.027885 path: - '/details_harness\|drop\|3_2023-10-26T20-44-34.027885.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-26T20-44-34.027885.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_26T20_44_34.027885 path: - '/details_harness\|gsm8k\|5_2023-10-26T20-44-34.027885.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-26T20-44-34.027885.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hellaswag\|10_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T15-39-37.735727.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T15-39-37.735727.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_10T15_39_37.735727 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-10T15-39-37.735727.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-10T15-39-37.735727.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_26T20_44_34.027885 path: - '/details_harness\|winogrande\|5_2023-10-26T20-44-34.027885.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-26T20-44-34.027885.parquet' - config_name: results data_files: - split: 2023_10_10T15_39_37.735727 path: - results_2023-10-10T15-39-37.735727.parquet - split: 2023_10_26T20_44_34.027885 path: - results_2023-10-26T20-44-34.027885.parquet - split: latest path: - results_2023-10-26T20-44-34.027885.parquet --- # Dataset Card for Evaluation run of Lazycuber/L2-7b-Orca-WVG-Test ## Dataset Description - Homepage: - Repository: https://huggingface.co/Lazycuber/L2-7b-Orca-WVG-Test - 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 [Lazycuber/L2-7b-Orca-WVG-Test](https://huggingface.co/Lazycuber/L2-7b-Orca-WVG-Test) 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_Lazycuber__L2-7b-Orca-WVG-Test", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-26T20:44:34.027885](https://huggingface.co/datasets/open-llm-leaderboard/details_Lazycuber__L2-7b-Orca-WVG-Test/blob/main/results_2023-10-26T20-44-34.027885.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": 0.002202181208053691, "em_stderr": 0.00048005108166191996, "f1": 0.07443687080536941, "f1_stderr": 0.0016342523738966323, "acc": 0.4119262338489193, "acc_stderr": 0.009880953290999535 }, "harness\|drop\|3": { "em": 0.002202181208053691, "em_stderr": 0.00048005108166191996, "f1": 0.07443687080536941, "f1_stderr": 0.0016342523738966323 }, "harness\|gsm8k\|5": { "acc": 0.0803639120545868, "acc_stderr": 0.007488258573239077 }, "harness\|winogrande\|5": { "acc": 0.7434885556432518, "acc_stderr": 0.01227364800875999 } } ``` ### 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]	[ -0.36709126830101013, -0.8400570750236511, 0.18104137480258942, 0.16155824065208435, -0.14700211584568024, 0.04310493916273117, -0.3504056930541992, -0.2456786185503006, 0.3625357747077942, 0.4841080904006958, -0.709211528301239, -0.9054679870605469, -0.6620864272117615, 0.06737924367189407, -0.20556311309337616, 1.1181901693344116, -0.1478051096200943, -0.18213839828968048, 0.032326437532901764, -0.3570404350757599, -0.4618581533432007, -0.3250873386859894, -0.5414979457855225, 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wmt_t2t	null	2023-04-05T13:44:08Z	312	0	[ "task_categories:translation", "annotations_creators:no-annotation", "language_creators:found", "multilinguality:translation", "size_categories:10M<n<100M", "source_datasets:extended\|europarl_bilingual", "source_datasets:extended\|news_commentary", "source_datasets:extended\|opus_paracrawl", "source_datasets:extended\|un_multi", "language:de", "language:en", "license:unknown", "region:us" ]	[ "translation" ]	2022-03-02T23:29:22Z	--- annotations_creators: - no-annotation language_creators: - found language: - de - en license: - unknown multilinguality: - translation size_categories: - 10M<n<100M source_datasets: - extended\|europarl_bilingual - extended\|news_commentary - extended\|opus_paracrawl - extended\|un_multi task_categories: - translation task_ids: [] pretty_name: WMT T2T paperswithcode_id: null dataset_info: features: - name: translation dtype: translation: languages: - de - en config_name: de-en splits: - name: train num_bytes: 1385110179 num_examples: 4592289 - name: validation num_bytes: 736415 num_examples: 3000 - name: test num_bytes: 777334 num_examples: 3003 download_size: 1728762345 dataset_size: 1386623928 --- # Dataset Card for "wmt_t2t" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: [https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/data_generators/translate_ende.py](https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/data_generators/translate_ende.py) - Repository: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of downloaded dataset files: 1.73 GB - Size of the generated dataset: 1.39 GB - Total amount of disk used: 3.11 GB ### Dataset Summary The WMT EnDe Translate dataset used by the Tensor2Tensor library. Translation dataset based on the data from statmt.org. Versions exist for different years using a combination of data sources. The base `wmt` allows you to create a custom dataset by choosing your own data/language pair. This can be done as follows: ```python from datasets import inspect_dataset, load_dataset_builder inspect_dataset("wmt_t2t", "path/to/scripts") builder = load_dataset_builder( "path/to/scripts/wmt_utils.py", language_pair=("fr", "de"), subsets={ datasets.Split.TRAIN: ["commoncrawl_frde"], datasets.Split.VALIDATION: ["euelections_dev2019"], }, ) # Standard version builder.download_and_prepare() ds = builder.as_dataset() # Streamable version ds = builder.as_streaming_dataset() ``` ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances #### de-en - Size of downloaded dataset files: 1.73 GB - Size of the generated dataset: 1.39 GB - Total amount of disk used: 3.11 GB An example of 'validation' looks as follows. ``` { "translation": { "de": "Just a test sentence.", "en": "Just a test sentence." } } ``` ### Data Fields The data fields are the same among all splits. #### de-en - `translation`: a multilingual `string` variable, with possible languages including `de`, `en`. ### Data Splits \|name \| train \|validation\|test\| \|-----\|------:\|---------:\|---:\| \|de-en\|4592289\| 3000\|3003\| ## 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{bojar-EtAl:2014:W14-33, author = {Bojar, Ondrej and Buck, Christian and Federmann, Christian and Haddow, Barry and Koehn, Philipp and Leveling, Johannes and Monz, Christof and Pecina, Pavel and Post, Matt and Saint-Amand, Herve and Soricut, Radu and Specia, Lucia and Tamchyna, Ale {s}}, title = {Findings of the 2014 Workshop on Statistical Machine Translation}, booktitle = {Proceedings of the Ninth Workshop on Statistical Machine Translation}, month = {June}, year = {2014}, address = {Baltimore, Maryland, USA}, publisher = {Association for Computational Linguistics}, pages = {12--58}, url = {http://www.aclweb.org/anthology/W/W14/W14-3302} } ``` ### Contributions Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.	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WorkInTheDark/FairytaleQA	WorkInTheDark	2023-08-22T18:49:30Z	312	1	[ "task_categories:question-answering", "task_categories:text-generation", "language:en", "license:apache-2.0", "education", "children education", "region:us" ]	[ "question-answering", "text-generation" ]	2022-05-18T19:11:00Z	--- license: apache-2.0 task_categories: - question-answering - text-generation language: - en tags: - education - children education --- # Dataset Card for FairytaleQA ## Dataset Description - Homepage: - Repository: https://github.com/uci-soe/FairytaleQAData https://github.com/WorkInTheDark/FairytaleQA_Dataset - Paper: https://aclanthology.org/2022.acl-long.34/ - Leaderboard: - Point of Contact: ### Dataset Summary This is the repository for the FairytaleQA dataset, an open-source dataset focusing on comprehension of narratives, targeting students from kindergarten to eighth grade. The FairytaleQA dataset is annotated by education experts based on an evidence-based theoretical framework. It consists of 10,580 explicit and implicit questions derived from 278 children-friendly stories, covering seven types of narrative elements or relations. ### Supported Tasks and Leaderboards Question-Answering, Question-Generation, Question-Answer Pair Generation ### Languages English ## Dataset Structure ### Data Instances An example of "train" looks as follows: ``` { 'story_name': 'three-dogs', 'story_section': 'once upon a time there was a king who went forth into the world and ... ... guards to watch over the little princess so that she would not get out under the open sky .', 'question': 'why was there great rejoicing in the city and throughout the country ?', 'answer1': 'the people wished their king all that was good .', 'answer2': '', 'local-or-sum': 'local', 'attribute': 'causal relationship', 'ex-or-im': 'explicit', 'ex-or-im2': '', } ``` ### Data Fields - 'story_name': story name - 'story_section': story section related to the QA-pair - 'question': the question content - 'answer1': the 1st answer (available in all splits) - 'answer2': the 2nd answer by another annotator (only available in test / val splits) - 'local-or-sum': 'local' denotes the question is related to only one story section, while 'summary' denotes the question is related to multiple story sections - 'attribute': categorized by education experts into seven narrative elements: character / setting / action / feeling / causal relationship / outcome resolution, detailed definition is described in the paper - 'ex-or-im': 'explicit' denotes the answer can be found in the story content, while 'implicit' denotes the answer require high-level summarization - 'ex-or-im2': similar to 'ex-or-im', but annotated by another annotator (only available in storys in test / val splits) ### Data Splits - train split: 232 books with 8548 QA-pairs - val split: 23 books with 1025 QA-pairs - test split: 23 books with 1007 QA-pairs ## 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 Our Dataset Paper is accepted to ACL 2022, you may cite: ``` @inproceedings{xu2022fairytaleqa, author={Xu, Ying and Wang, Dakuo and Yu, Mo and Ritchie, Daniel and Yao, Bingsheng and Wu, Tongshuang and Zhang, Zheng and Li, Toby Jia-Jun and Bradford, Nora and Sun, Branda and Hoang, Tran Bao and Sang, Yisi and Hou, Yufang and Ma, Xiaojuan and Yang, Diyi and Peng, Nanyun and Yu, Zhou and Warschauer, Mark}, title = {Fantastic Questions and Where to Find Them: Fairytale{QA} -- An Authentic Dataset for Narrative Comprehension}, publisher = {Association for Computational Linguistics}, year = {2022} } ``` ### Contributions [More Information Needed]	[ -0.445491760969162, -0.8840484619140625, 0.16075555980205536, 0.3118264973163605, -0.07053409516811371, 0.038767892867326736, 0.18959300220012665, -0.5273874402046204, 0.2727353274822235, 0.5530560612678528, -0.8797739744186401, -0.6280317902565002, -0.2818605899810791, 0.24008359014987946, -0.29893046617507935, 1.0742671489715576, -0.20993374288082123, -0.18014021217823029, -0.20883136987686157, -0.136277437210083, -0.3393440544605255, -0.6205512285232544, -0.4998210668563843, 0.03944827988743782, 0.5994407534599304, 0.4201069176197052, 0.5346562266349792, 0.6478697657585144, 0.1721917986869812, 0.21085704863071442, -0.1691049337387085, 0.18974462151527405, -0.42044582962989807, 0.08990787714719772, 0.02689586579799652, -0.6379565000534058, -0.5116956233978271, 0.0771758034825325, 0.7742952704429626, 0.5674366354942322, 0.14572279155254364, 0.518365204334259, 0.26032963395118713, 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open-llm-leaderboard/details_Fredithefish__RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4	open-llm-leaderboard	2023-09-28T15:50:12Z	312	0	[ "region:us" ]	null	2023-08-18T00:10:03Z	--- pretty_name: Evaluation run of Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4](https://huggingface.co/Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 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_Fredithefish__RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-28T15:50:00.560199](https://huggingface.co/datasets/open-llm-leaderboard/details_Fredithefish__RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4/blob/main/results_2023-09-28T15-50-00.560199.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\": 0.018246644295302015,\n\ \ \"em_stderr\": 0.0013706682452812888,\n \"f1\": 0.0714765100671141,\n\ \ \"f1_stderr\": 0.0018411955158404013,\n \"acc\": 0.32543219642729987,\n\ \ \"acc_stderr\": 0.007862138879264232\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.018246644295302015,\n \"em_stderr\": 0.0013706682452812888,\n\ \ \"f1\": 0.0714765100671141,\n \"f1_stderr\": 0.0018411955158404013\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.006823351023502654,\n \ \ \"acc_stderr\": 0.0022675371022545044\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.6440410418310971,\n \"acc_stderr\": 0.013456740656273959\n\ \ }\n}\n```" repo_url: https://huggingface.co/Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4 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_07_19T14_47_41.742069 path: - '/details_harness\|arc:challenge\|25_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-07-19T14:47:41.742069.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_28T15_50_00.560199 path: - '/details_harness\|drop\|3_2023-09-28T15-50-00.560199.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-28T15-50-00.560199.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_28T15_50_00.560199 path: - '/details_harness\|gsm8k\|5_2023-09-28T15-50-00.560199.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-28T15-50-00.560199.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hellaswag\|10_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T14:47:41.742069.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-management\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T14:47:41.742069.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_19T14_47_41.742069 path: - '/details_harness\|truthfulqa:mc\|0_2023-07-19T14:47:41.742069.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-07-19T14:47:41.742069.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_28T15_50_00.560199 path: - '/details_harness\|winogrande\|5_2023-09-28T15-50-00.560199.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-28T15-50-00.560199.parquet' - config_name: results data_files: - split: 2023_07_19T14_47_41.742069 path: - results_2023-07-19T14:47:41.742069.parquet - split: 2023_09_28T15_50_00.560199 path: - results_2023-09-28T15-50-00.560199.parquet - split: latest path: - results_2023-09-28T15-50-00.560199.parquet --- # Dataset Card for Evaluation run of Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4 ## Dataset Description - Homepage: - Repository: https://huggingface.co/Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4 - 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 [Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4](https://huggingface.co/Fredithefish/RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 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_Fredithefish__RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-28T15:50:00.560199](https://huggingface.co/datasets/open-llm-leaderboard/details_Fredithefish__RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4/blob/main/results_2023-09-28T15-50-00.560199.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": 0.018246644295302015, "em_stderr": 0.0013706682452812888, "f1": 0.0714765100671141, "f1_stderr": 0.0018411955158404013, "acc": 0.32543219642729987, "acc_stderr": 0.007862138879264232 }, "harness\|drop\|3": { "em": 0.018246644295302015, "em_stderr": 0.0013706682452812888, "f1": 0.0714765100671141, "f1_stderr": 0.0018411955158404013 }, "harness\|gsm8k\|5": { "acc": 0.006823351023502654, "acc_stderr": 0.0022675371022545044 }, "harness\|winogrande\|5": { "acc": 0.6440410418310971, "acc_stderr": 0.013456740656273959 } } ``` ### 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]	[ -0.43311095237731934, -0.8429715633392334, 0.18498195707798004, 0.2751644551753998, -0.15779460966587067, 0.09503193199634552, -0.4818977117538452, -0.25600185990333557, 0.3572022616863251, 0.4651923179626465, -0.7606934309005737, -0.8917511105537415, -0.7000956535339355, 0.1738177090883255, -0.18706339597702026, 1.2619186639785767, -0.26238006353378296, -0.2552734613418579, 0.13574370741844177, -0.13902869820594788, -0.5001007318496704, -0.42023149132728577, -0.5633471012115479, 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hmao/reformatted_singleapi	hmao	2023-10-20T17:41:43Z	312	0	[ "region:us" ]	null	2023-10-20T17:41:41Z	--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: api_name dtype: string - name: api_definition dtype: string - name: dataset_name dtype: string splits: - name: train num_bytes: 19426 num_examples: 14 download_size: 15603 dataset_size: 19426 --- # Dataset Card for "reformatted_singleapi" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.46770524978637695, -0.18474163115024567, 0.008100783452391624, 0.31041383743286133, -0.28728166222572327, -0.08710907399654388, 0.10436707735061646, 0.02873440459370613, 1.0926576852798462, 0.6387783288955688, -1.1107847690582275, -0.7828578948974609, -0.26478755474090576, -0.16784316301345825, -0.23495274782180786, 1.4659773111343384, -0.005572209134697914, 0.03537987917661667, -0.39287394285202026, 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definite_pronoun_resolution	null	2023-04-05T10:04:44Z	311	3	[ "task_categories:token-classification", "task_ids:word-sense-disambiguation", "annotations_creators:expert-generated", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:en", "license:unknown", "region:us" ]	[ "token-classification" ]	2022-03-02T23:29:22Z	--- annotations_creators: - expert-generated language_creators: - crowdsourced language: - en license: - unknown multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - token-classification task_ids: - word-sense-disambiguation paperswithcode_id: definite-pronoun-resolution-dataset pretty_name: Definite Pronoun Resolution Dataset dataset_info: features: - name: sentence dtype: string - name: pronoun dtype: string - name: candidates sequence: string length: 2 - name: label dtype: class_label: names: '0': '0' '1': '1' config_name: plain_text splits: - name: test num_bytes: 71691 num_examples: 564 - name: train num_bytes: 171511 num_examples: 1322 download_size: 227452 dataset_size: 243202 --- # Dataset Card for "definite_pronoun_resolution" ## 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.hlt.utdallas.edu/~vince/data/emnlp12/](https://www.hlt.utdallas.edu/~vince/data/emnlp12/) - Repository: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of downloaded dataset files: 0.23 MB - Size of the generated dataset: 0.24 MB - Total amount of disk used: 0.47 MB ### Dataset Summary Composed by 30 students from one of the author's undergraduate classes. These sentence pairs cover topics ranging from real events (e.g., Iran's plan to attack the Saudi ambassador to the U.S.) to events/characters in movies (e.g., Batman) and purely imaginary situations, largely reflecting the pop culture as perceived by the American kids born in the early 90s. Each annotated example spans four lines: the first line contains the sentence, the second line contains the target pronoun, the third line contains the two candidate antecedents, and the fourth line contains the correct antecedent. If the target pronoun appears more than once in the sentence, its first occurrence is the one to be resolved. ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances #### plain_text - Size of downloaded dataset files: 0.23 MB - Size of the generated dataset: 0.24 MB - Total amount of disk used: 0.47 MB An example of 'train' looks as follows. ``` { "candidates": ["coreference resolution", "chunking"], "label": 0, "pronoun": "it", "sentence": "There is currently more work on coreference resolution than on chunking because it is a problem that is still far from being solved." } ``` ### Data Fields The data fields are the same among all splits. #### plain_text - `sentence`: a `string` feature. - `pronoun`: a `string` feature. - `candidates`: a `list` of `string` features. - `label`: a classification label, with possible values including `0` (0), `1` (1). ### Data Splits \| name \|train\|test\| \|----------\|----:\|---:\| \|plain_text\| 1322\| 564\| ## 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{rahman2012resolving, title={Resolving complex cases of definite pronouns: the winograd schema challenge}, author={Rahman, Altaf and Ng, Vincent}, booktitle={Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning}, pages={777--789}, year={2012}, organization={Association for Computational Linguistics} } ``` ### Contributions Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.	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zpn/zinc20	zpn	2023-01-06T02:03:46Z	311	5	[ "size_categories:1B<n<10B", "license:mit", "bio", "selfies", "smiles", "small_molecules", "region:us" ]	null	2023-01-04T17:32:47Z	--- license: mit dataset_info: features: - name: selfies dtype: string - name: smiles dtype: string - name: id dtype: string splits: - name: train num_bytes: 238295712864 num_examples: 804925861 - name: validation num_bytes: 26983481360 num_examples: 100642661 - name: test num_bytes: 29158755632 num_examples: 101082073 download_size: 40061255073 dataset_size: 294437949856 tags: - bio - selfies - smiles - small_molecules pretty_name: zinc20 size_categories: - 1B<n<10B --- # Dataset Card for Zinc20 ## Dataset Description - Homepage: https://zinc20.docking.org/ - Paper: https://pubs.acs.org/doi/10.1021/acs.jcim.0c00675 ### Dataset Summary ZINC is a publicly available database that aggregates commercially available and annotated compounds. ZINC provides downloadable 2D and 3D versions as well as a website that enables rapid molecule lookup and analog search. ZINC has grown from fewer than 1 million compounds in 2005 to nearly 2 billion now. This dataset includes ~1B molecules in total. We have filtered out any compounds that were not avaible to be converted from `smiles` to `seflies` representations. ### 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 The dataset is split into an 80/10/10 train/valid/test random split across files (which roughly corresponds to the same percentages) ### Source Data #### Initial Data Collection and Normalization Initial data was released at https://zinc20.docking.org/. We have downloaded and added a `selfies` field and filtered out all molecules that did not contain molecules that could be converted to `selfies` representations. ### Citation Information @article{Irwin2020, doi = {10.1021/acs.jcim.0c00675}, url = {https://doi.org/10.1021/acs.jcim.0c00675}, year = {2020}, month = oct, publisher = {American Chemical Society ({ACS})}, volume = {60}, number = {12}, pages = {6065--6073}, author = {John J. Irwin and Khanh G. Tang and Jennifer Young and Chinzorig Dandarchuluun and Benjamin R. Wong and Munkhzul Khurelbaatar and Yurii S. Moroz and John Mayfield and Roger A. Sayle}, title = {{ZINC}20{\textemdash}A Free Ultralarge-Scale Chemical Database for Ligand Discovery}, journal = {Journal of Chemical Information and Modeling} } ### Contributions This dataset was curated and added by [@zanussbaum](https://github.com/zanussbaum).	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open-llm-leaderboard/details_Sao10K__Zephyrus-L1-33B	open-llm-leaderboard	2023-10-26T22:59:00Z	311	0	[ "region:us" ]	null	2023-10-04T01:26:30Z	--- pretty_name: Evaluation run of Sao10K/Zephyrus-L1-33B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Sao10K/Zephyrus-L1-33B](https://huggingface.co/Sao10K/Zephyrus-L1-33B) 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_Sao10K__Zephyrus-L1-33B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-26T22:58:44.962753](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Zephyrus-L1-33B/blob/main/results_2023-10-26T22-58-44.962753.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\": 0.1826761744966443,\n\ \ \"em_stderr\": 0.003957106009101816,\n \"f1\": 0.2689282718120811,\n\ \ \"f1_stderr\": 0.004022541310882054,\n \"acc\": 0.5188394618630148,\n\ \ \"acc_stderr\": 0.011447189197576924\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.1826761744966443,\n \"em_stderr\": 0.003957106009101816,\n\ \ \"f1\": 0.2689282718120811,\n \"f1_stderr\": 0.004022541310882054\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.2357846853677028,\n \ \ \"acc_stderr\": 0.0116925156506668\n },\n \"harness\|winogrande\|5\": {\n\ \ \"acc\": 0.8018942383583267,\n \"acc_stderr\": 0.011201862744487047\n\ \ }\n}\n```" repo_url: https://huggingface.co/Sao10K/Zephyrus-L1-33B 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_04T01_26_11.799613 path: - '/details_harness\|arc:challenge\|25_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-04T01-26-11.799613.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_26T22_58_44.962753 path: - '/details_harness\|drop\|3_2023-10-26T22-58-44.962753.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-26T22-58-44.962753.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_26T22_58_44.962753 path: - '/details_harness\|gsm8k\|5_2023-10-26T22-58-44.962753.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-26T22-58-44.962753.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hellaswag\|10_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T01-26-11.799613.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-04T01-26-11.799613.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_04T01_26_11.799613 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-04T01-26-11.799613.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-04T01-26-11.799613.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_26T22_58_44.962753 path: - '/details_harness\|winogrande\|5_2023-10-26T22-58-44.962753.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-26T22-58-44.962753.parquet' - config_name: results data_files: - split: 2023_10_04T01_26_11.799613 path: - results_2023-10-04T01-26-11.799613.parquet - split: 2023_10_26T22_58_44.962753 path: - results_2023-10-26T22-58-44.962753.parquet - split: latest path: - results_2023-10-26T22-58-44.962753.parquet --- # Dataset Card for Evaluation run of Sao10K/Zephyrus-L1-33B ## Dataset Description - Homepage: - Repository: https://huggingface.co/Sao10K/Zephyrus-L1-33B - 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 [Sao10K/Zephyrus-L1-33B](https://huggingface.co/Sao10K/Zephyrus-L1-33B) 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_Sao10K__Zephyrus-L1-33B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-26T22:58:44.962753](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Zephyrus-L1-33B/blob/main/results_2023-10-26T22-58-44.962753.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": 0.1826761744966443, "em_stderr": 0.003957106009101816, "f1": 0.2689282718120811, "f1_stderr": 0.004022541310882054, "acc": 0.5188394618630148, "acc_stderr": 0.011447189197576924 }, "harness\|drop\|3": { "em": 0.1826761744966443, "em_stderr": 0.003957106009101816, "f1": 0.2689282718120811, "f1_stderr": 0.004022541310882054 }, "harness\|gsm8k\|5": { "acc": 0.2357846853677028, "acc_stderr": 0.0116925156506668 }, "harness\|winogrande\|5": { "acc": 0.8018942383583267, "acc_stderr": 0.011201862744487047 } } ``` ### 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]	[ -0.3750714659690857, -0.6224828362464905, 0.1872767060995102, 0.23637492954730988, -0.10929103195667267, 0.08206196874380112, -0.3673483729362488, -0.30393660068511963, 0.510568380355835, 0.49996981024742126, -0.6582841873168945, -0.9010059237480164, -0.7022260427474976, 0.20118868350982666, -0.1462629735469818, 1.1845101118087769, -0.28200122714042664, -0.1945495456457138, 0.07584448903799057, -0.36419394612312317, -0.2208005040884018, -0.32789620757102966, -0.5556350350379944, 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SocialGrep/one-million-reddit-confessions	SocialGrep	2022-07-01T18:48:52Z	310	3	[ "annotations_creators:lexyr", "language_creators:crowdsourced", "multilinguality:monolingual", "size_categories:1M<n<10M", "source_datasets:original", "language:en", "license:cc-by-4.0", "region:us" ]	null	2022-03-02T23:29:22Z	--- annotations_creators: - lexyr language_creators: - crowdsourced language: - en license: - cc-by-4.0 multilinguality: - monolingual size_categories: - 1M<n<10M source_datasets: - original paperswithcode_id: null --- # Dataset Card for one-million-reddit-confessions ## 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://socialgrep.com/datasets](https://socialgrep.com/datasets?utm_source=huggingface&utm_medium=link&utm_campaign=onemillionconfessions) - Point of Contact: [Website](https://socialgrep.com/contact?utm_source=huggingface&utm_medium=link&utm_campaign=onemillionconfessions) ### Dataset Summary This corpus contains a million posts from the following subreddits: - /r/trueoffmychest - /r/confession - /r/confessions - /r/offmychest Posts are annotated with their score. ### Languages Mainly English. ## Dataset Structure ### Data Instances A data point is a Reddit post. ### Data Fields - 'type': the type of the data point. Can be 'post' or 'comment'. - 'id': the base-36 Reddit ID of the data point. Unique when combined with type. - 'subreddit.id': the base-36 Reddit ID of the data point's host subreddit. Unique. - 'subreddit.name': the human-readable name of the data point's host subreddit. - 'subreddit.nsfw': a boolean marking the data point's host subreddit as NSFW or not. - 'created_utc': a UTC timestamp for the data point. - 'permalink': a reference link to the data point on Reddit. - 'score': score of the data point on Reddit. - 'domain': the domain of the data point's link. - 'url': the destination of the data point's link, if any. - 'selftext': the self-text of the data point, if any. - 'title': the title of the post data point. ## Dataset Creation ### Curation Rationale [Needs More Information] ### Source Data #### Initial Data Collection and Normalization [Needs More Information] #### Who are the source language producers? [Needs More Information] ### Annotations #### Annotation process [Needs More Information] #### Who are the annotators? [Needs More Information] ### Personal and Sensitive Information [Needs More Information] ## Considerations for Using the Data ### Social Impact of Dataset [Needs More Information] ### Discussion of Biases [Needs More Information] ### Other Known Limitations [Needs More Information] ## Additional Information ### Dataset Curators [Needs More Information] ### Licensing Information CC-BY v4.0 ### Contributions [Needs More Information]	[ -0.6687978506088257, -0.8154491782188416, 0.31087735295295715, 0.4743254482746124, -0.4289208650588989, 0.01911442168056965, -0.21109187602996826, -0.2700446546077728, 0.74643474817276, 0.6344823241233826, -1.1415692567825317, -1.0532934665679932, -0.7599503993988037, 0.37440627813339233, -0.30102458596229553, 1.1587049961090088, 0.14019186794757843, -0.3034624457359314, -0.4173179864883423, -0.14319327473640442, -0.26789143681526184, -0.6237900853157043, -0.432871550321579, 0.059877585619688034, 0.6571256518363953, 0.721903383731842, 0.4521910548210144, 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german-nlp-group/german_common_crawl	german-nlp-group	2023-10-03T14:50:28Z	310	7	[ "language:de", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - de --- # Dataset Card for GermanCommonCrawl ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-instances) - [Data Splits](#data-instances) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - Homepage: - Repository: https://github.com/German-NLP-Group/german-transformer-training - Paper: - Leaderboard: - Point of Contact: [email protected] ### Dataset Summary German Only Extract from Common Crawl Stats: Total Size after Deduplication: 142 Mio Pages / 194 GB (Gzipped) Total Size before Deduplcation: 263 Mio Pages / 392 GB (Gzipped) ### Supported Tasks and Leaderboards This Dataset is for pretraining a German Language Model (Unsupervised). ### Languages German only (Sometimes websites are partially in another Language). One can filter these out through the `language_score` attribute. ## Dataset Structure ### Data Instances ``` {'url': 'http://my-shop.ru/shop/books/545473.html', 'date_download': '2016-10-20T19:38:58Z', 'digest': 'sha1:F62EMGYLZDIKF4UL5JZYU47KWGGUBT7T', 'length': 1155, 'nlines': 4, 'source_domain': 'my-shop.ru', 'title': 'Grammatikalische Liebeslieder. Methodische Vorschläge', 'raw_content': 'Grammatikalische Liebeslieder. [....]', 'cc_segment': 'crawl-data/CC-MAIN-2016-44/segments/1476988717783.68/wet/CC-MAIN-20161020183837-00354-ip-10-171-6-4.ec2.internal.warc.wet.gz', 'original_nlines': 99, 'original_length': 2672, 'language': 'de', 'language_score': 1.0, 'perplexity': 283.0, 'bucket': 'head'}" ``` ### Data Fields ### Data Splits Train only ## Dataset Creation ### Curation Rationale Handling and Filtering of Common Crawl Data requires large scale Server Ressources at a location in the US (for downloading speed). The total computing time needed to create this dataset is above 100k CPU hours. To give others the opportunity to train models with this dataset easily we make it publicly available. In most use cases you see an improved Model Performance when extending the pre-training Data so one can achieve highest accuracies as this is probably the largest available dataset. ### Source Data It was filtered from the Common Crawl Snapshots of the following months: 1. 2015-48 2. 2016-18 3. 2016-44 4. 2017-33 5. 2017-30 6. 2017-30 7. 2017-39 8. 2017-51 9. 2018-09 10. 2018-17 11. 2018-30 12. 2018-39 13. 2018-51 14. 2019-09 15. 2019-18 16. 2019-30 17. 2019-47 18. 2020-10 #### Initial Data Collection and Normalization Filtering and deduplication of each month seperalety was performed with [CC_Net](https://github.com/facebookresearch/cc_net). The current datasets only contains the best part (head part) with the highest text quality (see CC_Net Paper for more details). Middle and tail part may be uploaded soon as well, or are available on request. Afterwards this Dataset was deduplicated again to filter out Websites which occur in multiple monthly snapshots. This deduplication removes all Websites which have either the same url or the same hash (this is to filter out websites which are accessible under multiple domains) #### 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 ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information ``` @inproceedings{wenzek2020ccnet, title={CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data}, author={Wenzek, Guillaume and Lachaux, Marie-Anne and Conneau, Alexis and Chaudhary, Vishrav and Guzm{\'a}n, Francisco and Joulin, Armand and Grave, {\'E}douard}, booktitle={Proceedings of The 12th Language Resources and Evaluation Conference}, pages={4003--4012}, year={2020} ```	[ -0.5897865891456604, -0.5933412909507751, -0.002174515975639224, 0.2340298295021057, -0.35744696855545044, 0.017636924982070923, -0.4870220720767975, -0.4006519913673401, 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huggingartists/eminem	huggingartists	2022-10-25T09:29:07Z	310	0	[ "language:en", "huggingartists", "lyrics", "region:us" ]	null	2022-03-02T23:29:22Z	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/eminem" ## 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: 8.291956 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/c7367126e7e6ebc13fcea9d4efca0204.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/eminem"> <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">Eminem</div> <a href="https://genius.com/artists/eminem"> <div style="text-align: center; font-size: 14px;">@eminem</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/eminem). ### 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/eminem") ``` ## 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\| \|------:\|---------:\|---:\| \|1285\| -\| -\| '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/eminem") 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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C-MTEB/IFlyTek-classification	C-MTEB	2023-07-28T13:30:24Z	310	1	[ "region:us" ]	null	2023-07-28T13:30:02Z	--- configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': '5' '6': '6' '7': '7' '8': '8' '9': '9' '10': '10' '11': '11' '12': '12' '13': '13' '14': '14' '15': '15' '16': '16' '17': '17' '18': '18' '19': '19' '20': '20' '21': '21' '22': '22' '23': '23' '24': '24' '25': '25' '26': '26' '27': '27' '28': '28' '29': '29' '30': '30' '31': '31' '32': '32' '33': '33' '34': '34' '35': '35' '36': '36' '37': '37' '38': '38' '39': '39' '40': '40' '41': '41' '42': '42' '43': '43' '44': '44' '45': '45' '46': '46' '47': '47' '48': '48' '49': '49' '50': '50' '51': '51' '52': '52' '53': '53' '54': '54' '55': '55' '56': '56' '57': '57' '58': '58' '59': '59' '60': '60' '61': '61' '62': '62' '63': '63' '64': '64' '65': '65' '66': '66' '67': '67' '68': '68' '69': '69' '70': '70' '71': '71' '72': '72' '73': '73' '74': '74' '75': '75' '76': '76' '77': '77' '78': '78' '79': '79' '80': '80' '81': '81' '82': '82' '83': '83' '84': '84' '85': '85' '86': '86' '87': '87' '88': '88' '89': '89' '90': '90' '91': '91' '92': '92' '93': '93' '94': '94' '95': '95' '96': '96' '97': '97' '98': '98' '99': '99' '100': '100' '101': '101' '102': '102' '103': '103' '104': '104' '105': '105' '106': '106' '107': '107' '108': '108' '109': '109' '110': '110' '111': '111' '112': '112' '113': '113' '114': '114' '115': '115' '116': '116' '117': '117' '118': '118' - name: idx dtype: int32 splits: - name: test num_bytes: 2105684 num_examples: 2600 - name: train num_bytes: 10028605 num_examples: 12133 - name: validation num_bytes: 2157119 num_examples: 2599 download_size: 9777643 dataset_size: 14291408 --- # Dataset Card for "IFlyTek-classification" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)	[ -0.559772789478302, 0.30060046911239624, 0.11780756711959839, 0.1514981985092163, -0.11811215430498123, 0.04451344162225723, 0.15367189049720764, -0.5373458862304688, 0.5598100423812866, 0.16837243735790253, -0.8340445756912231, -0.8567187786102295, -0.6651228070259094, -0.0765853226184845, -0.6041132211685181, 1.4100000858306885, 0.01731572300195694, -0.023838166147470474, -0.27168527245521545, -0.20636336505413055, -0.14604663848876953, -0.5318611860275269, -0.7585039734840393, -0.5594752430915833, 0.7358285188674927, 0.673608124256134, 0.04089304059743881, 0.5188419818878174, 0.7070264220237732, 0.3083035945892334, -0.10908351093530655, -0.29487791657447815, -0.0805606096982956, -0.28163525462150574, -0.4142894446849823, -0.48033708333969116, -1.0398765802383423, 0.02185615338385105, 0.6754201650619507, 0.4481933116912842, -0.24465323984622955, 0.8826501965522766, 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