davanstrien/summary-test · Datasets at Hugging Face

datasetId stringlengths 2 117	card stringlengths 19 1.01M
um-ids/dailymed-annotations	--- license: cc-by-4.0 --- 1. Dailymed prescription indications
open-llm-leaderboard/details_synapsoft__Llama-2-7b-hf-flan2022-1.2M	--- pretty_name: Evaluation run of synapsoft/Llama-2-7b-hf-flan2022-1.2M dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [synapsoft/Llama-2-7b-hf-flan2022-1.2M](https://huggingface.co/synapsoft/Llama-2-7b-hf-flan2022-1.2M)\ \ 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_synapsoft__Llama-2-7b-hf-flan2022-1.2M\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-13T06:59:34.296378](https://huggingface.co/datasets/open-llm-leaderboard/details_synapsoft__Llama-2-7b-hf-flan2022-1.2M/blob/main/results_2023-10-13T06-59-34.296378.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\": 0.25870385906040266,\n\ \ \"em_stderr\": 0.004484736946763185,\n \"f1\": 0.2965908137583894,\n\ \ \"f1_stderr\": 0.004480084563201026,\n \"acc\": 0.40002920104621126,\n\ \ \"acc_stderr\": 0.008888005892783395\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.25870385906040266,\n \"em_stderr\": 0.004484736946763185,\n\ \ \"f1\": 0.2965908137583894,\n \"f1_stderr\": 0.004480084563201026\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.04473085670962851,\n \ \ \"acc_stderr\": 0.005693886131407052\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.755327545382794,\n \"acc_stderr\": 0.012082125654159738\n\ \ }\n}\n```" repo_url: https://huggingface.co/synapsoft/Llama-2-7b-hf-flan2022-1.2M leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|arc:challenge\|25_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-29T11:38:40.621041.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_13T06_59_34.296378 path: - '/details_harness\|drop\|3_2023-10-13T06-59-34.296378.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-13T06-59-34.296378.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_13T06_59_34.296378 path: - '/details_harness\|gsm8k\|5_2023-10-13T06-59-34.296378.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-13T06-59-34.296378.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hellaswag\|10_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-29T11:38:40.621041.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_29T11_38_40.621041 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-29T11:38:40.621041.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_13T06_59_34.296378 path: - '/details_harness\|winogrande\|5_2023-10-13T06-59-34.296378.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-13T06-59-34.296378.parquet' - config_name: results data_files: - split: 2023_08_29T11_38_40.621041 path: - results_2023-08-29T11:38:40.621041.parquet - split: 2023_10_13T06_59_34.296378 path: - results_2023-10-13T06-59-34.296378.parquet - split: latest path: - results_2023-10-13T06-59-34.296378.parquet --- # Dataset Card for Evaluation run of synapsoft/Llama-2-7b-hf-flan2022-1.2M ## Dataset Description - Homepage: - Repository: https://huggingface.co/synapsoft/Llama-2-7b-hf-flan2022-1.2M - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [synapsoft/Llama-2-7b-hf-flan2022-1.2M](https://huggingface.co/synapsoft/Llama-2-7b-hf-flan2022-1.2M) 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_synapsoft__Llama-2-7b-hf-flan2022-1.2M", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-13T06:59:34.296378](https://huggingface.co/datasets/open-llm-leaderboard/details_synapsoft__Llama-2-7b-hf-flan2022-1.2M/blob/main/results_2023-10-13T06-59-34.296378.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": 0.25870385906040266, "em_stderr": 0.004484736946763185, "f1": 0.2965908137583894, "f1_stderr": 0.004480084563201026, "acc": 0.40002920104621126, "acc_stderr": 0.008888005892783395 }, "harness\|drop\|3": { "em": 0.25870385906040266, "em_stderr": 0.004484736946763185, "f1": 0.2965908137583894, "f1_stderr": 0.004480084563201026 }, "harness\|gsm8k\|5": { "acc": 0.04473085670962851, "acc_stderr": 0.005693886131407052 }, "harness\|winogrande\|5": { "acc": 0.755327545382794, "acc_stderr": 0.012082125654159738 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
open-llm-leaderboard/details_Qwen__Qwen2-beta-72B	--- pretty_name: Evaluation run of Qwen/Qwen2-beta-72B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Qwen/Qwen2-beta-72B](https://huggingface.co/Qwen/Qwen2-beta-72B) on the [Open\ \ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Qwen__Qwen2-beta-72B_private\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-29T23:47:04.571636](https://huggingface.co/datasets/open-llm-leaderboard/details_Qwen__Qwen2-beta-72B_private/blob/main/results_2024-01-29T23-47-04.571636.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\": 0.7669743429877653,\n\ \ \"acc_stderr\": 0.027971495069922473,\n \"acc_norm\": 0.7715834368806984,\n\ \ \"acc_norm_stderr\": 0.028493498109494097,\n \"mc1\": 0.412484700122399,\n\ \ \"mc1_stderr\": 0.017233299399571227,\n \"mc2\": 0.596080564321232,\n\ \ \"mc2_stderr\": 0.01451800985281567\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6262798634812287,\n \"acc_stderr\": 0.014137708601759095,\n\ \ \"acc_norm\": 0.658703071672355,\n \"acc_norm_stderr\": 0.01385583128749773\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6666998605855408,\n\ \ \"acc_stderr\": 0.004704293898729911,\n \"acc_norm\": 0.8598884684325832,\n\ \ \"acc_norm_stderr\": 0.003463933286063887\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.7185185185185186,\n\ \ \"acc_stderr\": 0.038850042458002526,\n \"acc_norm\": 0.7185185185185186,\n\ \ \"acc_norm_stderr\": 0.038850042458002526\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.8881578947368421,\n \"acc_stderr\": 0.02564834125169361,\n\ \ \"acc_norm\": 0.8881578947368421,\n \"acc_norm_stderr\": 0.02564834125169361\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|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-clinical_knowledge\|5\"\ : {\n \"acc\": 0.8226415094339623,\n \"acc_stderr\": 0.023508739218846938,\n\ \ \"acc_norm\": 0.8226415094339623,\n \"acc_norm_stderr\": 0.023508739218846938\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.9027777777777778,\n\ \ \"acc_stderr\": 0.024774516250440175,\n \"acc_norm\": 0.9027777777777778,\n\ \ \"acc_norm_stderr\": 0.024774516250440175\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.64,\n \"acc_stderr\": 0.048241815132442176,\n \"acc_norm\"\ : 0.64,\n \"acc_norm_stderr\": 0.048241815132442176\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \ \ \"acc_norm\": 0.54,\n \"acc_norm_stderr\": 0.05009082659620332\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.7630057803468208,\n\ \ \"acc_stderr\": 0.032424147574830975,\n \"acc_norm\": 0.7630057803468208,\n\ \ \"acc_norm_stderr\": 0.032424147574830975\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.5490196078431373,\n \"acc_stderr\": 0.049512182523962604,\n\ \ \"acc_norm\": 0.5490196078431373,\n \"acc_norm_stderr\": 0.049512182523962604\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \"acc_norm\": 0.84,\n\ \ \"acc_norm_stderr\": 0.03684529491774709\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.8085106382978723,\n \"acc_stderr\": 0.025722149992637798,\n\ \ \"acc_norm\": 0.8085106382978723,\n \"acc_norm_stderr\": 0.025722149992637798\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.5877192982456141,\n\ \ \"acc_stderr\": 0.046306532033665956,\n \"acc_norm\": 0.5877192982456141,\n\ \ \"acc_norm_stderr\": 0.046306532033665956\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.7862068965517242,\n \"acc_stderr\": 0.03416520447747549,\n\ \ \"acc_norm\": 0.7862068965517242,\n \"acc_norm_stderr\": 0.03416520447747549\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.6984126984126984,\n \"acc_stderr\": 0.0236369759961018,\n \"acc_norm\"\ : 0.6984126984126984,\n \"acc_norm_stderr\": 0.0236369759961018\n },\n\ \ \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.5793650793650794,\n\ \ \"acc_stderr\": 0.04415438226743745,\n \"acc_norm\": 0.5793650793650794,\n\ \ \"acc_norm_stderr\": 0.04415438226743745\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956911,\n \ \ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956911\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.8838709677419355,\n\ \ \"acc_stderr\": 0.018225757949432306,\n \"acc_norm\": 0.8838709677419355,\n\ \ \"acc_norm_stderr\": 0.018225757949432306\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.6600985221674877,\n \"acc_stderr\": 0.033327690684107895,\n\ \ \"acc_norm\": 0.6600985221674877,\n \"acc_norm_stderr\": 0.033327690684107895\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774707,\n \"acc_norm\"\ : 0.84,\n \"acc_norm_stderr\": 0.03684529491774707\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\"\ : 0.9292929292929293,\n \"acc_stderr\": 0.0182631054201995,\n \"acc_norm\"\ : 0.9292929292929293,\n \"acc_norm_stderr\": 0.0182631054201995\n },\n\ \ \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n \ \ \"acc\": 0.9896373056994818,\n \"acc_stderr\": 0.007308424386792194,\n\ \ \"acc_norm\": 0.9896373056994818,\n \"acc_norm_stderr\": 0.007308424386792194\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.8153846153846154,\n \"acc_stderr\": 0.01967163241310029,\n \ \ \"acc_norm\": 0.8153846153846154,\n \"acc_norm_stderr\": 0.01967163241310029\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.4925925925925926,\n \"acc_stderr\": 0.030482192395191506,\n \ \ \"acc_norm\": 0.4925925925925926,\n \"acc_norm_stderr\": 0.030482192395191506\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.8361344537815126,\n \"acc_stderr\": 0.024044054940440488,\n\ \ \"acc_norm\": 0.8361344537815126,\n \"acc_norm_stderr\": 0.024044054940440488\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.5761589403973509,\n \"acc_stderr\": 0.04034846678603396,\n \"\ acc_norm\": 0.5761589403973509,\n \"acc_norm_stderr\": 0.04034846678603396\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.9302752293577982,\n \"acc_stderr\": 0.01091942641184862,\n \"\ acc_norm\": 0.9302752293577982,\n \"acc_norm_stderr\": 0.01091942641184862\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.6851851851851852,\n \"acc_stderr\": 0.0316746870682898,\n \"acc_norm\"\ : 0.6851851851851852,\n \"acc_norm_stderr\": 0.0316746870682898\n },\n\ \ \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\": 0.9313725490196079,\n\ \ \"acc_stderr\": 0.017744453647073322,\n \"acc_norm\": 0.9313725490196079,\n\ \ \"acc_norm_stderr\": 0.017744453647073322\n },\n \"harness\|hendrycksTest-high_school_world_history\|5\"\ : {\n \"acc\": 0.9029535864978903,\n \"acc_stderr\": 0.019269323025640273,\n\ \ \"acc_norm\": 0.9029535864978903,\n \"acc_norm_stderr\": 0.019269323025640273\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.7937219730941704,\n\ \ \"acc_stderr\": 0.02715715047956382,\n \"acc_norm\": 0.7937219730941704,\n\ \ \"acc_norm_stderr\": 0.02715715047956382\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8778625954198473,\n \"acc_stderr\": 0.02871877688934232,\n\ \ \"acc_norm\": 0.8778625954198473,\n \"acc_norm_stderr\": 0.02871877688934232\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.9090909090909091,\n \"acc_stderr\": 0.026243194054073892,\n \"\ acc_norm\": 0.9090909090909091,\n \"acc_norm_stderr\": 0.026243194054073892\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8518518518518519,\n\ \ \"acc_stderr\": 0.03434300243630999,\n \"acc_norm\": 0.8518518518518519,\n\ \ \"acc_norm_stderr\": 0.03434300243630999\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.8711656441717791,\n \"acc_stderr\": 0.02632138319878367,\n\ \ \"acc_norm\": 0.8711656441717791,\n \"acc_norm_stderr\": 0.02632138319878367\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.6517857142857143,\n\ \ \"acc_stderr\": 0.04521829902833585,\n \"acc_norm\": 0.6517857142857143,\n\ \ \"acc_norm_stderr\": 0.04521829902833585\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8737864077669902,\n \"acc_stderr\": 0.03288180278808628,\n\ \ \"acc_norm\": 0.8737864077669902,\n \"acc_norm_stderr\": 0.03288180278808628\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.9401709401709402,\n\ \ \"acc_stderr\": 0.015537514263253874,\n \"acc_norm\": 0.9401709401709402,\n\ \ \"acc_norm_stderr\": 0.015537514263253874\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.035887028128263734,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.035887028128263734\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.9157088122605364,\n\ \ \"acc_stderr\": 0.009934966499513786,\n \"acc_norm\": 0.9157088122605364,\n\ \ \"acc_norm_stderr\": 0.009934966499513786\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.8352601156069365,\n \"acc_stderr\": 0.019971040982442265,\n\ \ \"acc_norm\": 0.8352601156069365,\n \"acc_norm_stderr\": 0.019971040982442265\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.6346368715083799,\n\ \ \"acc_stderr\": 0.016104833880142302,\n \"acc_norm\": 0.6346368715083799,\n\ \ \"acc_norm_stderr\": 0.016104833880142302\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.8594771241830066,\n \"acc_stderr\": 0.01989943546353996,\n\ \ \"acc_norm\": 0.8594771241830066,\n \"acc_norm_stderr\": 0.01989943546353996\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.8392282958199357,\n\ \ \"acc_stderr\": 0.020862388082391888,\n \"acc_norm\": 0.8392282958199357,\n\ \ \"acc_norm_stderr\": 0.020862388082391888\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.8641975308641975,\n \"acc_stderr\": 0.0190615881815054,\n\ \ \"acc_norm\": 0.8641975308641975,\n \"acc_norm_stderr\": 0.0190615881815054\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.6276595744680851,\n \"acc_stderr\": 0.028838921471251455,\n \ \ \"acc_norm\": 0.6276595744680851,\n \"acc_norm_stderr\": 0.028838921471251455\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.6121251629726207,\n\ \ \"acc_stderr\": 0.012444998309675631,\n \"acc_norm\": 0.6121251629726207,\n\ \ \"acc_norm_stderr\": 0.012444998309675631\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.8198529411764706,\n \"acc_stderr\": 0.02334516361654484,\n\ \ \"acc_norm\": 0.8198529411764706,\n \"acc_norm_stderr\": 0.02334516361654484\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.8137254901960784,\n \"acc_stderr\": 0.01575052628436337,\n \ \ \"acc_norm\": 0.8137254901960784,\n \"acc_norm_stderr\": 0.01575052628436337\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7363636363636363,\n\ \ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.7363636363636363,\n\ \ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.8285714285714286,\n \"acc_stderr\": 0.024127463462650156,\n\ \ \"acc_norm\": 0.8285714285714286,\n \"acc_norm_stderr\": 0.024127463462650156\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8855721393034826,\n\ \ \"acc_stderr\": 0.022509345325101706,\n \"acc_norm\": 0.8855721393034826,\n\ \ \"acc_norm_stderr\": 0.022509345325101706\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.94,\n \"acc_stderr\": 0.023868325657594194,\n \ \ \"acc_norm\": 0.94,\n \"acc_norm_stderr\": 0.023868325657594194\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.572289156626506,\n\ \ \"acc_stderr\": 0.03851597683718533,\n \"acc_norm\": 0.572289156626506,\n\ \ \"acc_norm_stderr\": 0.03851597683718533\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8888888888888888,\n \"acc_stderr\": 0.024103384202072864,\n\ \ \"acc_norm\": 0.8888888888888888,\n \"acc_norm_stderr\": 0.024103384202072864\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.412484700122399,\n\ \ \"mc1_stderr\": 0.017233299399571227,\n \"mc2\": 0.596080564321232,\n\ \ \"mc2_stderr\": 0.01451800985281567\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8303078137332282,\n \"acc_stderr\": 0.010549542647363696\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.6573161485974223,\n \ \ \"acc_stderr\": 0.013073030230827912\n }\n}\n```" repo_url: https://huggingface.co/Qwen/Qwen2-beta-72B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|arc:challenge\|25_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-01-29T23-47-04.571636.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|gsm8k\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hellaswag\|10_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-29T23-47-04.571636.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-management\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|truthfulqa:mc\|0_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-01-29T23-47-04.571636.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '/details_harness\|winogrande\|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-01-29T23-47-04.571636.parquet' - config_name: results data_files: - split: 2024_01_29T23_47_04.571636 path: - results_2024-01-29T23-47-04.571636.parquet - split: latest path: - results_2024-01-29T23-47-04.571636.parquet --- # Dataset Card for Evaluation run of Qwen/Qwen2-beta-72B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Qwen/Qwen2-beta-72B](https://huggingface.co/Qwen/Qwen2-beta-72B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Qwen__Qwen2-beta-72B_private", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-29T23:47:04.571636](https://huggingface.co/datasets/open-llm-leaderboard/details_Qwen__Qwen2-beta-72B_private/blob/main/results_2024-01-29T23-47-04.571636.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": 0.7669743429877653, "acc_stderr": 0.027971495069922473, "acc_norm": 0.7715834368806984, "acc_norm_stderr": 0.028493498109494097, "mc1": 0.412484700122399, "mc1_stderr": 0.017233299399571227, "mc2": 0.596080564321232, "mc2_stderr": 0.01451800985281567 }, "harness\|arc:challenge\|25": { "acc": 0.6262798634812287, "acc_stderr": 0.014137708601759095, "acc_norm": 0.658703071672355, "acc_norm_stderr": 0.01385583128749773 }, "harness\|hellaswag\|10": { "acc": 0.6666998605855408, "acc_stderr": 0.004704293898729911, "acc_norm": 0.8598884684325832, "acc_norm_stderr": 0.003463933286063887 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.7185185185185186, "acc_stderr": 0.038850042458002526, "acc_norm": 0.7185185185185186, "acc_norm_stderr": 0.038850042458002526 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.8881578947368421, "acc_stderr": 0.02564834125169361, "acc_norm": 0.8881578947368421, "acc_norm_stderr": 0.02564834125169361 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.8, "acc_stderr": 0.04020151261036845, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036845 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.8226415094339623, "acc_stderr": 0.023508739218846938, "acc_norm": 0.8226415094339623, "acc_norm_stderr": 0.023508739218846938 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.9027777777777778, "acc_stderr": 0.024774516250440175, "acc_norm": 0.9027777777777778, "acc_norm_stderr": 0.024774516250440175 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.64, "acc_stderr": 0.048241815132442176, "acc_norm": 0.64, "acc_norm_stderr": 0.048241815132442176 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.7630057803468208, "acc_stderr": 0.032424147574830975, "acc_norm": 0.7630057803468208, "acc_norm_stderr": 0.032424147574830975 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.5490196078431373, "acc_stderr": 0.049512182523962604, "acc_norm": 0.5490196078431373, "acc_norm_stderr": 0.049512182523962604 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.84, "acc_stderr": 0.03684529491774709, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774709 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.8085106382978723, "acc_stderr": 0.025722149992637798, "acc_norm": 0.8085106382978723, "acc_norm_stderr": 0.025722149992637798 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.5877192982456141, "acc_stderr": 0.046306532033665956, "acc_norm": 0.5877192982456141, "acc_norm_stderr": 0.046306532033665956 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.7862068965517242, "acc_stderr": 0.03416520447747549, "acc_norm": 0.7862068965517242, "acc_norm_stderr": 0.03416520447747549 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.6984126984126984, "acc_stderr": 0.0236369759961018, "acc_norm": 0.6984126984126984, "acc_norm_stderr": 0.0236369759961018 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.5793650793650794, "acc_stderr": 0.04415438226743745, "acc_norm": 0.5793650793650794, "acc_norm_stderr": 0.04415438226743745 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.51, "acc_stderr": 0.05024183937956911, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956911 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.8838709677419355, "acc_stderr": 0.018225757949432306, "acc_norm": 0.8838709677419355, "acc_norm_stderr": 0.018225757949432306 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.6600985221674877, "acc_stderr": 0.033327690684107895, "acc_norm": 0.6600985221674877, "acc_norm_stderr": 0.033327690684107895 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.84, "acc_stderr": 0.03684529491774707, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774707 }, "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": 0.9292929292929293, "acc_stderr": 0.0182631054201995, "acc_norm": 0.9292929292929293, "acc_norm_stderr": 0.0182631054201995 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9896373056994818, "acc_stderr": 0.007308424386792194, "acc_norm": 0.9896373056994818, "acc_norm_stderr": 0.007308424386792194 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.8153846153846154, "acc_stderr": 0.01967163241310029, "acc_norm": 0.8153846153846154, "acc_norm_stderr": 0.01967163241310029 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.4925925925925926, "acc_stderr": 0.030482192395191506, "acc_norm": 0.4925925925925926, "acc_norm_stderr": 0.030482192395191506 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.8361344537815126, "acc_stderr": 0.024044054940440488, "acc_norm": 0.8361344537815126, "acc_norm_stderr": 0.024044054940440488 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.5761589403973509, "acc_stderr": 0.04034846678603396, "acc_norm": 0.5761589403973509, "acc_norm_stderr": 0.04034846678603396 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.9302752293577982, "acc_stderr": 0.01091942641184862, "acc_norm": 0.9302752293577982, "acc_norm_stderr": 0.01091942641184862 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.6851851851851852, "acc_stderr": 0.0316746870682898, "acc_norm": 0.6851851851851852, "acc_norm_stderr": 0.0316746870682898 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.9313725490196079, "acc_stderr": 0.017744453647073322, "acc_norm": 0.9313725490196079, "acc_norm_stderr": 0.017744453647073322 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.9029535864978903, "acc_stderr": 0.019269323025640273, "acc_norm": 0.9029535864978903, "acc_norm_stderr": 0.019269323025640273 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.7937219730941704, "acc_stderr": 0.02715715047956382, "acc_norm": 0.7937219730941704, "acc_norm_stderr": 0.02715715047956382 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8778625954198473, "acc_stderr": 0.02871877688934232, "acc_norm": 0.8778625954198473, "acc_norm_stderr": 0.02871877688934232 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.9090909090909091, "acc_stderr": 0.026243194054073892, "acc_norm": 0.9090909090909091, "acc_norm_stderr": 0.026243194054073892 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8518518518518519, "acc_stderr": 0.03434300243630999, "acc_norm": 0.8518518518518519, "acc_norm_stderr": 0.03434300243630999 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.8711656441717791, "acc_stderr": 0.02632138319878367, "acc_norm": 0.8711656441717791, "acc_norm_stderr": 0.02632138319878367 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.6517857142857143, "acc_stderr": 0.04521829902833585, "acc_norm": 0.6517857142857143, "acc_norm_stderr": 0.04521829902833585 }, "harness\|hendrycksTest-management\|5": { "acc": 0.8737864077669902, "acc_stderr": 0.03288180278808628, "acc_norm": 0.8737864077669902, "acc_norm_stderr": 0.03288180278808628 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.9401709401709402, "acc_stderr": 0.015537514263253874, "acc_norm": 0.9401709401709402, "acc_norm_stderr": 0.015537514263253874 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.85, "acc_stderr": 0.035887028128263734, "acc_norm": 0.85, "acc_norm_stderr": 0.035887028128263734 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.9157088122605364, "acc_stderr": 0.009934966499513786, "acc_norm": 0.9157088122605364, "acc_norm_stderr": 0.009934966499513786 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.8352601156069365, "acc_stderr": 0.019971040982442265, "acc_norm": 0.8352601156069365, "acc_norm_stderr": 0.019971040982442265 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.6346368715083799, "acc_stderr": 0.016104833880142302, "acc_norm": 0.6346368715083799, "acc_norm_stderr": 0.016104833880142302 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.8594771241830066, "acc_stderr": 0.01989943546353996, "acc_norm": 0.8594771241830066, "acc_norm_stderr": 0.01989943546353996 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.8392282958199357, "acc_stderr": 0.020862388082391888, "acc_norm": 0.8392282958199357, "acc_norm_stderr": 0.020862388082391888 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.8641975308641975, "acc_stderr": 0.0190615881815054, "acc_norm": 0.8641975308641975, "acc_norm_stderr": 0.0190615881815054 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.6276595744680851, "acc_stderr": 0.028838921471251455, "acc_norm": 0.6276595744680851, "acc_norm_stderr": 0.028838921471251455 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.6121251629726207, "acc_stderr": 0.012444998309675631, "acc_norm": 0.6121251629726207, "acc_norm_stderr": 0.012444998309675631 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.8198529411764706, "acc_stderr": 0.02334516361654484, "acc_norm": 0.8198529411764706, "acc_norm_stderr": 0.02334516361654484 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.8137254901960784, "acc_stderr": 0.01575052628436337, "acc_norm": 0.8137254901960784, "acc_norm_stderr": 0.01575052628436337 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7363636363636363, "acc_stderr": 0.04220224692971987, "acc_norm": 0.7363636363636363, "acc_norm_stderr": 0.04220224692971987 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.8285714285714286, "acc_stderr": 0.024127463462650156, "acc_norm": 0.8285714285714286, "acc_norm_stderr": 0.024127463462650156 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8855721393034826, "acc_stderr": 0.022509345325101706, "acc_norm": 0.8855721393034826, "acc_norm_stderr": 0.022509345325101706 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.94, "acc_stderr": 0.023868325657594194, "acc_norm": 0.94, "acc_norm_stderr": 0.023868325657594194 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.572289156626506, "acc_stderr": 0.03851597683718533, "acc_norm": 0.572289156626506, "acc_norm_stderr": 0.03851597683718533 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8888888888888888, "acc_stderr": 0.024103384202072864, "acc_norm": 0.8888888888888888, "acc_norm_stderr": 0.024103384202072864 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.412484700122399, "mc1_stderr": 0.017233299399571227, "mc2": 0.596080564321232, "mc2_stderr": 0.01451800985281567 }, "harness\|winogrande\|5": { "acc": 0.8303078137332282, "acc_stderr": 0.010549542647363696 }, "harness\|gsm8k\|5": { "acc": 0.6573161485974223, "acc_stderr": 0.013073030230827912 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
zenml/rag_qa_embedding_questions	--- dataset_info: features: - name: page_content dtype: string - name: filename dtype: string - name: parent_section dtype: string - name: url dtype: string - name: embedding sequence: float64 - name: token_count dtype: int64 - name: generated_questions sequence: string - name: __pydantic_initialised__ dtype: bool splits: - name: train num_bytes: 10042718 num_examples: 1806 download_size: 5948133 dataset_size: 10042718 configs: - config_name: default data_files: - split: train path: data/train-* ---
JonnyHsu/testtest	--- license: openrail ---
Blessin/dialogues-one-liners	--- license: mit ---
mask-distilled-onesec-cv12-each-chunk-uniq/chunk_131	--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 822836648.0 num_examples: 161594 download_size: 837715041 dataset_size: 822836648.0 --- # Dataset Card for "chunk_131" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
osmzrl/ofpptv2	--- license: apache-2.0 ---
mask-distilled-onesec-cv12-each-chunk-uniq/chunk_106	--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 887841120.0 num_examples: 174360 download_size: 905816663 dataset_size: 887841120.0 --- # Dataset Card for "chunk_106" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
satellite-image-deep-learning/DOTAv2	--- license: cc-by-4.0 tags: - remote-sensing - oriented-bounding-boxes - object-detection --- DOTA v2 Dataset with OBB, specifically the version from the [Ultralytics docs](https://docs.ultralytics.com/datasets/obb/dota-v2/) - [Website](https://captain-whu.github.io/DOTA/dataset.html) ![Image](https://user-images.githubusercontent.com/26833433/259461765-72fdd0d8-266b-44a9-8199-199329bf5ca9.jpg) ## Full License Here reproduced from the website webpage License for Academic Non-Commercial Use Only This DOTA dataset is made available under the following terms: 1. The Google Earth images in this dataset are subject to Google Earth's terms of use, which must be adhered to. 2. The GF-2 and JL-1 satellite images are provided by the China Centre for Resources Satellite Data and Application. The aerial images are provided by CycloMedia B.V. 3. Permission is hereby granted, free of charge, to any person obtaining a copy of this dataset to use it for academic, research, and other non-commercial uses only. 4. Redistribution, modification, or commercial use of this dataset or any portion of it is strictly prohibited without explicit permission from the copyright holder. 5. Any academic work that makes use of this dataset should include a citation to the dataset source. All rights not expressly granted are reserved.
indiejoseph/wikipedia-zh-yue-filtered	--- license: cc-by-4.0 configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: title dtype: string - name: text dtype: string splits: - name: train num_bytes: 90299602 num_examples: 133133 download_size: 56260688 dataset_size: 90299602 ---
jenhsia/ragged_id2title	--- license: mit dataset_info: - config_name: id2title_demo features: - name: id dtype: int64 - name: title dtype: string splits: - name: train num_bytes: 509 num_examples: 8 download_size: 1866 dataset_size: 509 - config_name: kilt_wikipedia_id2title features: - name: id dtype: int64 - name: title dtype: string splits: - name: train num_bytes: 187669689 num_examples: 5903530 download_size: 147063565 dataset_size: 187669689 configs: - config_name: id2title_demo data_files: - split: train path: id2title_demo/train-* - config_name: kilt_wikipedia_id2title data_files: - split: train path: kilt_wikipedia_id2title/train-* ---
Atsushi/fungi_indexed_mycological_papers_japanese	--- annotations_creators: - other language: - ja license: - cc-by-4.0 multilinguality: - monolingual source_datasets: - original size_categories: - 1K<n<10K --- fungi_indexed_mycological_papers_japanese 大菌輪「論文3行まとめ」データセット最終更新日：2024/2/23（R3-11457まで） ==== ### Languages Japanese This dataset is available in Japanese only. # 概要 Atsushi Nakajima（中島淳志）が個人で運営しているWebサイト[大菌輪](http://mycoscouter.coolblog.jp/daikinrin/) では、数千件以上の菌類分類学論文を「論文3行まとめ」という形で要約および索引付け（インデキシング）した情報を提供しています。本データセットは、「論文3行まとめ」のコンテンツに含まれる各論文の3行抄録、タグ（索引）、掲載種一覧、比較種一覧をまとめたものです。「論文3行まとめ」は毎日更新していますが、本データセットの更新はおおむね1ヶ月に一度とする予定です。また、本データセットを可視化したWebアプリを[Observableで公開](https://tinyurl.com/2tvryz8u)しています。 ## 関連データセット「識別形質まとめ」 [Atsushi/fungi_diagnostic_chars_comparison_japanese](https://huggingface.co/datasets/Atsushi/fungi_diagnostic_chars_comparison_japanese) 「Trait Circusデータセット」（統制形質） [Atsushi/fungi_trait_circus_database](https://huggingface.co/datasets/Atsushi/fungi_trait_circus_database) ## 各カラムの説明 * R3ID … 大菌輪「論文3行まとめ」のIDです。 * ja_title_provisional_translate（仮訳和文題名） … 作成者が翻訳したタイトルです。一部、日本語の原題があるものはそれをそのまま使用しています。 * original_title（原文題名） * published_year（出版年） * journal_title（雑誌名） * source（文献リンク） … 各情報の出典（文献）のURLです。 * daikinrin_url … 大菌輪「論文3行まとめ」のURLです。 * tags … 作成者が論文を全文読んだ上で独自に付与した索引です。カンマ+半角空白区切りです。形態形質、宿主/基質、実験器具/実験手法/試薬、地理的分布、生理/生化学などを幅広く索引しています。 * R3summary_1 … 3行抄録の「1行目」です。 * R3summary_2 … 3行抄録の「2行目」です。 * R3summary_3 … 3行抄録の「3行目」です。 * species_reported（報告種一覧） … 当該論文内で掲載された種の一覧です。「半角空白+半角スラッシュ+半角空白」区切りです。記号の意味は以下の通りです。 * ★＝新種（新亜種・新品種・新変種） * ■＝新産種 * ▲＝新組み合わせ * ◆＝新学名 * ●＝新階級 * （無印）＝その他 * species_compared（比較種一覧） … いずれかの報告種と論文中で何らかの比較がなされた種の一覧です。「半角空白+半角スラッシュ+半角空白」区切りです。詳細は「識別形質まとめ」データセット（[Atsushi/fungi_diagnostic_chars_comparison_japanese](https://huggingface.co/datasets/Atsushi/fungi_diagnostic_chars_comparison_japanese)）を参照してください。 * taxon_reported（分類群一覧） … 報告種に対応する上位分類群をまとめたものです。カンマ+半角空白区切りです。MycoBankの情報を基に付与していますが、最新でない可能性があります。
abhinand/tamil-llama-eval	--- language: - ta license: gpl size_categories: - n<1K task_categories: - text-generation pretty_name: tamil-llama-eval dataset_info: config_name: large features: - name: input dtype: string - name: raw_input dtype: string - name: evol_source dtype: string - name: category dtype: string splits: - name: train num_bytes: 1077035 num_examples: 956 download_size: 347891 dataset_size: 1077035 configs: - config_name: large data_files: - split: train path: large/train-* --- # Dataset Card for "tamil-alpaca-eval" This repository includes evaluation instructions to quickly test the Tamil LLaMA family of instruction models. To dive deep into the development and capabilities of the models, please read the [research paper](https://arxiv.org/abs/2311.05845) and the [introductory blog post (WIP) ]() that outlines our journey and the model's potential impact. GitHub Repository: [https://github.com/abhinand5/tamil-llama](https://github.com/abhinand5/tamil-llama) Note: This is the second version of the evaluation dataset was created using [Evol Instruct](https://arxiv.org/pdf/2304.12244.pdf) methodology and GPT-4. The initial 120 questions in [Tamil-Llama-Eval.csv](https://huggingface.co/datasets/abhinand/tamil-llama-eval/blob/main/Tamil-LLaMA-Eval.csv) (v1) were used as seed instructions. ## Models evaluated using this dataset \| Task Type \| [Tamil-LLaMA-7B](abhinand/tamil-llama-7b-instruct-v0.1) \| [Tamil-LLaMA-13B](abhinand/tamil-llama-13b-instruct-v0.1) \| [gpt-3.5-turbo](https://platform.openai.com/docs/models/gpt-3-5) \| \|-----------------\|----------------\|-----------------\|---------------\| \| Question Answering \| 77.00 \| 75.33 \| 54.33 \| \| Open-ended QA \| 84.47 \| 85.26 \| 58.68 \| \| Reasoning \| 47.50 \| 64.25 \| 63.50 \| \| Literature \| 45.50 \| 40.00 \| 71.00 \| \| Entertainment \| 43.33 \| 50.00 \| 60.00 \| \| Creative Writing\| 92.50 \| 95.62 \| 59.69 \| \| Translation \| 60.56 \| 66.67 \| 92.78 \| \| Coding \| 63.57 \| 76.07 \| 57.14 \| \| Ethics \| 23.75 \| 57.50 \| 40.00 \| \| Overall \| 63.83 \| 71.17 \| 61.33 \| ## Meet the Developers Get to know the creators behind this innovative model and follow their contributions to the field: - [Abhinand Balachandran](https://www.linkedin.com/in/abhinand-05/) ## Citation If you use this model or any of the the Tamil-Llama datasets in your research, please cite: ```bibtex @misc{balachandran2023tamilllama, title={Tamil-Llama: A New Tamil Language Model Based on Llama 2}, author={Abhinand Balachandran}, year={2023}, eprint={2311.05845}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```
joey234/mmlu-moral_disputes-original-neg-prepend	--- dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: neg_prompt dtype: string splits: - name: test num_bytes: 29708 num_examples: 53 download_size: 22744 dataset_size: 29708 --- # Dataset Card for "mmlu-moral_disputes-original-neg-prepend" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Violetmae14/image-to-sound-with-effects-using-videos	--- license: artistic-2.0 --- image to sounds using facebook: images here? space: button, images and audios,
Gregor/mblip-train	--- license: other language: - en - multilingual pretty_name: mBLIP instructions --- # mBLIP Instruct Mix Dataset Card ## Important! This dataset currently does not work directly with `datasets.load_dataset(Gregor/mblip-train)`! Please download the data files you need and load them with `datasets.load_dataset("json", data_files="filename")`. ## Dataset details Dataset type: This is the instruction mix used to train [mBLIP](https://github.com/gregor-ge/mBLIP). See https://github.com/gregor-ge/mBLIP/data/README.md for more information on how to reproduce the data. Dataset date: The dataset was created in May 2023. Dataset languages: The original English examples were machine translated to the following 95 languages: ` af, am, ar, az, be, bg, bn, ca, ceb, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fil, fr, ga, gd, gl, gu, ha, hi, ht, hu, hy, id, ig, is, it, iw, ja, jv, ka, kk, km, kn, ko, ku, ky, lb, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, no, ny, pa, pl, ps, pt, ro, ru, sd, si, sk, sl, sm, sn, so, sq, sr, st, su, sv, sw, ta, te, tg, th, tr, uk, ur, uz, vi, xh, yi, yo, zh, zu ` Languages are translated proportional to their size in [mC4](https://www.tensorflow.org/datasets/catalog/c4#c4multilingual), i.e., as 6% of examples in mC4 are German, we translate 6% of the data to German. Dataset structure: - `task_mix_mt.json`: The instruction mix data in the processed, translated, and combined form. - Folders: The folders contain 1) the separate tasks used to generate the mix and 2) the files of the tasks used to evaluate the model. Images: We do not include any images with this dataset. Images from the public datasets (MSCOCO for instruction training, and others for evaluation) can be downloaded from the respective websites. For the BLIP captions, we provide the URLs and filenames as used by us [here](blip_captions/ccs_synthetic_filtered_large_2273005_raw.json). To download them, [our code](https://github.com/gregor-ge/mBLIP/tree/main/data#blip-web-capfilt) can be adapted, for example. License: Must comply with license of the original datasets used to create this mix. See https://github.com/gregor-ge/mBLIP/data/README.md for more. Translations were produced with [NLLB](https://huggingface.co/facebook/nllb-200-distilled-1.3B) so use has to comply with their license. Where to send questions or comments about the model: https://github.com/gregor-ge/mBLIP/issues ## Intended use Primary intended uses: The primary is research on large multilingual multimodal models and chatbots. Primary intended users: The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
divers/jobsedcription-requirement	--- dataset_info: features: - name: index dtype: int64 - name: job_description dtype: string - name: job_requirements dtype: string - name: unknown dtype: float64 - name: __index_level_0__ dtype: float64 splits: - name: train num_bytes: 25599853 num_examples: 4551 download_size: 12633905 dataset_size: 25599853 --- # Dataset Card for "jobsedcription-requirement" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
realPCH/trutuful_ko	--- dataset_info: features: - name: question dtype: string - name: mc1_targets struct: - name: choices dtype: string - name: labels dtype: string - name: mc2_targets struct: - name: choices dtype: string - name: labels dtype: string splits: - name: validation num_bytes: 2788 num_examples: 3 download_size: 9265 dataset_size: 2788 configs: - config_name: default data_files: - split: validation path: data/validation-* ---
vwxyzjn/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_1706381144	--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_token sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_token sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_token sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 splits: - name: train num_bytes: 2125689249 num_examples: 116722 - name: validation num_bytes: 117437271 num_examples: 6447 - name: test num_bytes: 119410966 num_examples: 6553 download_size: 562087836 dataset_size: 2362537486 --- # TL;DR SFT Dataset for OpenAI's [Summarize from Feedback](https://openai.com/blog/summarization/) task The dataset is directly taken from https://github.com/openai/summarize-from-feedback/tree/700967448d10004279f138666442bf1497d0e705#reddit-tldr-dataset These columns are taken directly from the aforementioned dataset: * id: unique identifier for the post * subreddit: subreddit the post was taken from * title: title of the post * post: body of the post * summary: summary of the post * reference_response: reference response for the post These columns are added by this preprocessing script: * query: length-limited query for summarization: OAI pre-processes the main text (title + subreddit + post), ensuring it has only 512 tokens; if the main text is too long, then it tries to truncate at the last ` `. If it's too short it pads the main text ([summarize_from_feedback/tasks.py#L98-L165](https://github.com/openai/summarize-from-feedback/blob/700967448d10004279f138666442bf1497d0e705/summarize_from_feedback/tasks.py#L98-L165)). Padding is either space or `[PAD]` token (see Args below). * query_token: tokenized version of `query` * reference_response_token: tokenized version of `reference_response` * reference_response_token_len: length of `reference_response_token` * query_reference_response: concatenation of `query.strip()` and `reference_response` * query_reference_response_token: tokenized version of `query_reference_response`, up to `max_sft_query_response_length` tokens * query_reference_response_token_len: length of `query_reference_response_token` # Args ```python {'base_model': 'EleutherAI/pythia-1b-deduped', 'check_length_correctness': True, 'cnndm_params': TaskQueryHParams(length=1919, format_str='Article:\n{article}\n\nTL;DR:\n', truncate_field='article', truncate_text='\n', padding='pad_token', pad_token=[50277], pad_side='left', max_sft_response_length=None, max_sft_query_response_length=None, max_rm_response_length=155, max_rm_query_response_length=2021), 'debug': False, 'hf_entity': 'vwxyzjn', 'push_to_hub': True, 'tldr_params': TaskQueryHParams(length=512, format_str='SUBREDDIT: r/{subreddit}\n' '\n' 'TITLE: {title}\n' '\n' 'POST: {post}\n' '\n' 'TL;DR:', truncate_field='post', truncate_text='\n', padding='pad_token', pad_token=[50277], pad_side='left', max_sft_response_length=53, max_sft_query_response_length=562, max_rm_response_length=169, max_rm_query_response_length=638)} ```
gymprathap/Brain-MRI-LGG-Segmentation	--- license: cc-by-4.0 language: - en tags: - medical size_categories: - 1K<n<10K --- Brain MR images and FLAIR abnormality segmentation masks created by hand are part of this dataset. These pictures came from TCIA, or The Cancer Imaging Archive. Their genetic cluster data and fluid-attenuated inversion recovery (FLAIR) sequences are from 110 patients with lower-grade glioma who are part of the Cancer Genome Atlas (TCGA) collection. You can find patient information and genomic clusters of tumours in the data.csv file. <a href="http://projectcentersinchennai.co.in/Final-Year-Projects-for-CSE/Final-Year-Projects-for-CSE-Deep-learning-Domain" title="Deep Learning Projects for Final Year">Deep Learning Projects for Final Year</a> FYI: It is not my dataset. I got it from kaggle.
open-llm-leaderboard/details_jefferylovely__SuperThetaMaven	--- pretty_name: Evaluation run of jefferylovely/SuperThetaMaven dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [jefferylovely/SuperThetaMaven](https://huggingface.co/jefferylovely/SuperThetaMaven)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_jefferylovely__SuperThetaMaven\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-02T04:35:28.673518](https://huggingface.co/datasets/open-llm-leaderboard/details_jefferylovely__SuperThetaMaven/blob/main/results_2024-02-02T04-35-28.673518.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\": 0.6545059772983542,\n\ \ \"acc_stderr\": 0.03205377283844669,\n \"acc_norm\": 0.6538200997878416,\n\ \ \"acc_norm_stderr\": 0.03272641534569135,\n \"mc1\": 0.5703794369645043,\n\ \ \"mc1_stderr\": 0.01732923458040909,\n \"mc2\": 0.7177387118634652,\n\ \ \"mc2_stderr\": 0.014774281827372924\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.7107508532423208,\n \"acc_stderr\": 0.013250012579393441,\n\ \ \"acc_norm\": 0.7363481228668942,\n \"acc_norm_stderr\": 0.012875929151297042\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.7144991037641903,\n\ \ \"acc_stderr\": 0.004507296196227809,\n \"acc_norm\": 0.8899621589324835,\n\ \ \"acc_norm_stderr\": 0.0031229736320394727\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6666666666666666,\n\ \ \"acc_stderr\": 0.04072314811876837,\n \"acc_norm\": 0.6666666666666666,\n\ \ \"acc_norm_stderr\": 0.04072314811876837\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.64,\n\ \ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n \ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7094339622641509,\n \"acc_stderr\": 0.02794321998933714,\n\ \ \"acc_norm\": 0.7094339622641509,\n \"acc_norm_stderr\": 0.02794321998933714\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7638888888888888,\n\ \ \"acc_stderr\": 0.03551446610810826,\n \"acc_norm\": 0.7638888888888888,\n\ \ \"acc_norm_stderr\": 0.03551446610810826\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.050161355804659205\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\ : 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6705202312138728,\n\ \ \"acc_stderr\": 0.03583901754736412,\n \"acc_norm\": 0.6705202312138728,\n\ \ \"acc_norm_stderr\": 0.03583901754736412\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4215686274509804,\n \"acc_stderr\": 0.04913595201274498,\n\ \ \"acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.04913595201274498\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.74,\n \"acc_stderr\": 0.04408440022768077,\n \"acc_norm\": 0.74,\n\ \ \"acc_norm_stderr\": 0.04408440022768077\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5787234042553191,\n \"acc_stderr\": 0.03227834510146267,\n\ \ \"acc_norm\": 0.5787234042553191,\n \"acc_norm_stderr\": 0.03227834510146267\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4824561403508772,\n\ \ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.4824561403508772,\n\ \ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5448275862068965,\n \"acc_stderr\": 0.04149886942192117,\n\ \ \"acc_norm\": 0.5448275862068965,\n \"acc_norm_stderr\": 0.04149886942192117\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.42328042328042326,\n \"acc_stderr\": 0.025446365634406783,\n \"\ acc_norm\": 0.42328042328042326,\n \"acc_norm_stderr\": 0.025446365634406783\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.4603174603174603,\n\ \ \"acc_stderr\": 0.04458029125470973,\n \"acc_norm\": 0.4603174603174603,\n\ \ \"acc_norm_stderr\": 0.04458029125470973\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621505,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621505\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7870967741935484,\n\ \ \"acc_stderr\": 0.023287665127268545,\n \"acc_norm\": 0.7870967741935484,\n\ \ \"acc_norm_stderr\": 0.023287665127268545\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5123152709359606,\n \"acc_stderr\": 0.035169204442208966,\n\ \ \"acc_norm\": 0.5123152709359606,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621505,\n \"acc_norm\"\ : 0.68,\n \"acc_norm_stderr\": 0.04688261722621505\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.03225078108306289,\n\ \ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.03225078108306289\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.803030303030303,\n \"acc_stderr\": 0.028335609732463362,\n \"\ acc_norm\": 0.803030303030303,\n \"acc_norm_stderr\": 0.028335609732463362\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8860103626943006,\n \"acc_stderr\": 0.022935144053919443,\n\ \ \"acc_norm\": 0.8860103626943006,\n \"acc_norm_stderr\": 0.022935144053919443\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6641025641025641,\n \"acc_stderr\": 0.023946724741563976,\n\ \ \"acc_norm\": 0.6641025641025641,\n \"acc_norm_stderr\": 0.023946724741563976\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.34444444444444444,\n \"acc_stderr\": 0.02897264888484427,\n \ \ \"acc_norm\": 0.34444444444444444,\n \"acc_norm_stderr\": 0.02897264888484427\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.030388353551886797,\n\ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.030388353551886797\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.37748344370860926,\n \"acc_stderr\": 0.03958027231121569,\n \"\ acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.03958027231121569\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8458715596330275,\n \"acc_stderr\": 0.015480826865374303,\n \"\ acc_norm\": 0.8458715596330275,\n \"acc_norm_stderr\": 0.015480826865374303\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5092592592592593,\n \"acc_stderr\": 0.034093869469927006,\n \"\ acc_norm\": 0.5092592592592593,\n \"acc_norm_stderr\": 0.034093869469927006\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.8382352941176471,\n \"acc_stderr\": 0.02584501798692692,\n \"\ acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.02584501798692692\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8143459915611815,\n \"acc_stderr\": 0.025310495376944856,\n \ \ \"acc_norm\": 0.8143459915611815,\n \"acc_norm_stderr\": 0.025310495376944856\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6860986547085202,\n\ \ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.6860986547085202,\n\ \ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7938931297709924,\n \"acc_stderr\": 0.03547771004159463,\n\ \ \"acc_norm\": 0.7938931297709924,\n \"acc_norm_stderr\": 0.03547771004159463\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\ acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.0401910747255735,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.0401910747255735\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7730061349693251,\n \"acc_stderr\": 0.03291099578615769,\n\ \ \"acc_norm\": 0.7730061349693251,\n \"acc_norm_stderr\": 0.03291099578615769\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.45535714285714285,\n\ \ \"acc_stderr\": 0.047268355537191,\n \"acc_norm\": 0.45535714285714285,\n\ \ \"acc_norm_stderr\": 0.047268355537191\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8846153846153846,\n\ \ \"acc_stderr\": 0.02093019318517933,\n \"acc_norm\": 0.8846153846153846,\n\ \ \"acc_norm_stderr\": 0.02093019318517933\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \ \ \"acc_norm\": 0.74,\n \"acc_norm_stderr\": 0.04408440022768078\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8263090676883781,\n\ \ \"acc_stderr\": 0.013547415658662264,\n \"acc_norm\": 0.8263090676883781,\n\ \ \"acc_norm_stderr\": 0.013547415658662264\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7369942196531792,\n \"acc_stderr\": 0.023703099525258176,\n\ \ \"acc_norm\": 0.7369942196531792,\n \"acc_norm_stderr\": 0.023703099525258176\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.42905027932960893,\n\ \ \"acc_stderr\": 0.016553287863116037,\n \"acc_norm\": 0.42905027932960893,\n\ \ \"acc_norm_stderr\": 0.016553287863116037\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7124183006535948,\n \"acc_stderr\": 0.02591780611714716,\n\ \ \"acc_norm\": 0.7124183006535948,\n \"acc_norm_stderr\": 0.02591780611714716\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7202572347266881,\n\ \ \"acc_stderr\": 0.025494259350694912,\n \"acc_norm\": 0.7202572347266881,\n\ \ \"acc_norm_stderr\": 0.025494259350694912\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7592592592592593,\n \"acc_stderr\": 0.023788583551658533,\n\ \ \"acc_norm\": 0.7592592592592593,\n \"acc_norm_stderr\": 0.023788583551658533\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.48936170212765956,\n \"acc_stderr\": 0.029820747191422473,\n \ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.029820747191422473\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.470013037809648,\n\ \ \"acc_stderr\": 0.012747248967079064,\n \"acc_norm\": 0.470013037809648,\n\ \ \"acc_norm_stderr\": 0.012747248967079064\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6801470588235294,\n \"acc_stderr\": 0.02833295951403121,\n\ \ \"acc_norm\": 0.6801470588235294,\n \"acc_norm_stderr\": 0.02833295951403121\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6715686274509803,\n \"acc_stderr\": 0.018999707383162673,\n \ \ \"acc_norm\": 0.6715686274509803,\n \"acc_norm_stderr\": 0.018999707383162673\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6909090909090909,\n\ \ \"acc_stderr\": 0.044262946482000985,\n \"acc_norm\": 0.6909090909090909,\n\ \ \"acc_norm_stderr\": 0.044262946482000985\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.835820895522388,\n\ \ \"acc_stderr\": 0.026193923544454115,\n \"acc_norm\": 0.835820895522388,\n\ \ \"acc_norm_stderr\": 0.026193923544454115\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\n },\n\ \ \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5662650602409639,\n\ \ \"acc_stderr\": 0.03858158940685516,\n \"acc_norm\": 0.5662650602409639,\n\ \ \"acc_norm_stderr\": 0.03858158940685516\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\ \ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.5703794369645043,\n\ \ \"mc1_stderr\": 0.01732923458040909,\n \"mc2\": 0.7177387118634652,\n\ \ \"mc2_stderr\": 0.014774281827372924\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8492501973164956,\n \"acc_stderr\": 0.010056094631479674\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.7012888551933283,\n \ \ \"acc_stderr\": 0.012607137125693633\n }\n}\n```" repo_url: https://huggingface.co/jefferylovely/SuperThetaMaven leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|arc:challenge\|25_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-02-02T04-35-28.673518.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|gsm8k\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hellaswag\|10_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-02T04-35-28.673518.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-management\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|truthfulqa:mc\|0_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-02-02T04-35-28.673518.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '/details_harness\|winogrande\|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-02-02T04-35-28.673518.parquet' - config_name: results data_files: - split: 2024_02_02T04_35_28.673518 path: - results_2024-02-02T04-35-28.673518.parquet - split: latest path: - results_2024-02-02T04-35-28.673518.parquet --- # Dataset Card for Evaluation run of jefferylovely/SuperThetaMaven <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [jefferylovely/SuperThetaMaven](https://huggingface.co/jefferylovely/SuperThetaMaven) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_jefferylovely__SuperThetaMaven", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-02T04:35:28.673518](https://huggingface.co/datasets/open-llm-leaderboard/details_jefferylovely__SuperThetaMaven/blob/main/results_2024-02-02T04-35-28.673518.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": 0.6545059772983542, "acc_stderr": 0.03205377283844669, "acc_norm": 0.6538200997878416, "acc_norm_stderr": 0.03272641534569135, "mc1": 0.5703794369645043, "mc1_stderr": 0.01732923458040909, "mc2": 0.7177387118634652, "mc2_stderr": 0.014774281827372924 }, "harness\|arc:challenge\|25": { "acc": 0.7107508532423208, "acc_stderr": 0.013250012579393441, "acc_norm": 0.7363481228668942, "acc_norm_stderr": 0.012875929151297042 }, "harness\|hellaswag\|10": { "acc": 0.7144991037641903, "acc_stderr": 0.004507296196227809, "acc_norm": 0.8899621589324835, "acc_norm_stderr": 0.0031229736320394727 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6666666666666666, "acc_stderr": 0.04072314811876837, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.04072314811876837 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7094339622641509, "acc_stderr": 0.02794321998933714, "acc_norm": 0.7094339622641509, "acc_norm_stderr": 0.02794321998933714 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7638888888888888, "acc_stderr": 0.03551446610810826, "acc_norm": 0.7638888888888888, "acc_norm_stderr": 0.03551446610810826 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.47, "acc_stderr": 0.050161355804659205, "acc_norm": 0.47, "acc_norm_stderr": 0.050161355804659205 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6705202312138728, "acc_stderr": 0.03583901754736412, "acc_norm": 0.6705202312138728, "acc_norm_stderr": 0.03583901754736412 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4215686274509804, "acc_stderr": 0.04913595201274498, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.04913595201274498 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.74, "acc_stderr": 0.04408440022768077, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768077 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5787234042553191, "acc_stderr": 0.03227834510146267, "acc_norm": 0.5787234042553191, "acc_norm_stderr": 0.03227834510146267 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4824561403508772, "acc_stderr": 0.04700708033551038, "acc_norm": 0.4824561403508772, "acc_norm_stderr": 0.04700708033551038 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5448275862068965, "acc_stderr": 0.04149886942192117, "acc_norm": 0.5448275862068965, "acc_norm_stderr": 0.04149886942192117 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.42328042328042326, "acc_stderr": 0.025446365634406783, "acc_norm": 0.42328042328042326, "acc_norm_stderr": 0.025446365634406783 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.4603174603174603, "acc_stderr": 0.04458029125470973, "acc_norm": 0.4603174603174603, "acc_norm_stderr": 0.04458029125470973 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.32, "acc_stderr": 0.04688261722621505, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621505 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7870967741935484, "acc_stderr": 0.023287665127268545, "acc_norm": 0.7870967741935484, "acc_norm_stderr": 0.023287665127268545 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5123152709359606, "acc_stderr": 0.035169204442208966, "acc_norm": 0.5123152709359606, "acc_norm_stderr": 0.035169204442208966 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.68, "acc_stderr": 0.04688261722621505, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621505 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7818181818181819, "acc_stderr": 0.03225078108306289, "acc_norm": 0.7818181818181819, "acc_norm_stderr": 0.03225078108306289 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.803030303030303, "acc_stderr": 0.028335609732463362, "acc_norm": 0.803030303030303, "acc_norm_stderr": 0.028335609732463362 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8860103626943006, "acc_stderr": 0.022935144053919443, "acc_norm": 0.8860103626943006, "acc_norm_stderr": 0.022935144053919443 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6641025641025641, "acc_stderr": 0.023946724741563976, "acc_norm": 0.6641025641025641, "acc_norm_stderr": 0.023946724741563976 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.34444444444444444, "acc_stderr": 0.02897264888484427, "acc_norm": 0.34444444444444444, "acc_norm_stderr": 0.02897264888484427 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6764705882352942, "acc_stderr": 0.030388353551886797, "acc_norm": 0.6764705882352942, "acc_norm_stderr": 0.030388353551886797 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.37748344370860926, "acc_stderr": 0.03958027231121569, "acc_norm": 0.37748344370860926, "acc_norm_stderr": 0.03958027231121569 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8458715596330275, "acc_stderr": 0.015480826865374303, "acc_norm": 0.8458715596330275, "acc_norm_stderr": 0.015480826865374303 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5092592592592593, "acc_stderr": 0.034093869469927006, "acc_norm": 0.5092592592592593, "acc_norm_stderr": 0.034093869469927006 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8382352941176471, "acc_stderr": 0.02584501798692692, "acc_norm": 0.8382352941176471, "acc_norm_stderr": 0.02584501798692692 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8143459915611815, "acc_stderr": 0.025310495376944856, "acc_norm": 0.8143459915611815, "acc_norm_stderr": 0.025310495376944856 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6860986547085202, "acc_stderr": 0.031146796482972465, "acc_norm": 0.6860986547085202, "acc_norm_stderr": 0.031146796482972465 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7938931297709924, "acc_stderr": 0.03547771004159463, "acc_norm": 0.7938931297709924, "acc_norm_stderr": 0.03547771004159463 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7851239669421488, "acc_stderr": 0.037494924487096966, "acc_norm": 0.7851239669421488, "acc_norm_stderr": 0.037494924487096966 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7777777777777778, "acc_stderr": 0.0401910747255735, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.0401910747255735 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7730061349693251, "acc_stderr": 0.03291099578615769, "acc_norm": 0.7730061349693251, "acc_norm_stderr": 0.03291099578615769 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.45535714285714285, "acc_stderr": 0.047268355537191, "acc_norm": 0.45535714285714285, "acc_norm_stderr": 0.047268355537191 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8846153846153846, "acc_stderr": 0.02093019318517933, "acc_norm": 0.8846153846153846, "acc_norm_stderr": 0.02093019318517933 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8263090676883781, "acc_stderr": 0.013547415658662264, "acc_norm": 0.8263090676883781, "acc_norm_stderr": 0.013547415658662264 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7369942196531792, "acc_stderr": 0.023703099525258176, "acc_norm": 0.7369942196531792, "acc_norm_stderr": 0.023703099525258176 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.42905027932960893, "acc_stderr": 0.016553287863116037, "acc_norm": 0.42905027932960893, "acc_norm_stderr": 0.016553287863116037 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7124183006535948, "acc_stderr": 0.02591780611714716, "acc_norm": 0.7124183006535948, "acc_norm_stderr": 0.02591780611714716 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7202572347266881, "acc_stderr": 0.025494259350694912, "acc_norm": 0.7202572347266881, "acc_norm_stderr": 0.025494259350694912 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7592592592592593, "acc_stderr": 0.023788583551658533, "acc_norm": 0.7592592592592593, "acc_norm_stderr": 0.023788583551658533 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.48936170212765956, "acc_stderr": 0.029820747191422473, "acc_norm": 0.48936170212765956, "acc_norm_stderr": 0.029820747191422473 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.470013037809648, "acc_stderr": 0.012747248967079064, "acc_norm": 0.470013037809648, "acc_norm_stderr": 0.012747248967079064 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6801470588235294, "acc_stderr": 0.02833295951403121, "acc_norm": 0.6801470588235294, "acc_norm_stderr": 0.02833295951403121 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6715686274509803, "acc_stderr": 0.018999707383162673, "acc_norm": 0.6715686274509803, "acc_norm_stderr": 0.018999707383162673 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6909090909090909, "acc_stderr": 0.044262946482000985, "acc_norm": 0.6909090909090909, "acc_norm_stderr": 0.044262946482000985 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.835820895522388, "acc_stderr": 0.026193923544454115, "acc_norm": 0.835820895522388, "acc_norm_stderr": 0.026193923544454115 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.86, "acc_stderr": 0.0348735088019777, "acc_norm": 0.86, "acc_norm_stderr": 0.0348735088019777 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5662650602409639, "acc_stderr": 0.03858158940685516, "acc_norm": 0.5662650602409639, "acc_norm_stderr": 0.03858158940685516 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8245614035087719, "acc_stderr": 0.029170885500727665, "acc_norm": 0.8245614035087719, "acc_norm_stderr": 0.029170885500727665 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.5703794369645043, "mc1_stderr": 0.01732923458040909, "mc2": 0.7177387118634652, "mc2_stderr": 0.014774281827372924 }, "harness\|winogrande\|5": { "acc": 0.8492501973164956, "acc_stderr": 0.010056094631479674 }, "harness\|gsm8k\|5": { "acc": 0.7012888551933283, "acc_stderr": 0.012607137125693633 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
open-llm-leaderboard/details_sr5434__CodegebraGPT-10b	--- pretty_name: Evaluation run of sr5434/CodegebraGPT-10b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [sr5434/CodegebraGPT-10b](https://huggingface.co/sr5434/CodegebraGPT-10b) on the\ \ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_sr5434__CodegebraGPT-10b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-05T01:29:14.413360](https://huggingface.co/datasets/open-llm-leaderboard/details_sr5434__CodegebraGPT-10b/blob/main/results_2024-01-05T01-29-14.413360.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\": 0.6027565325073367,\n\ \ \"acc_stderr\": 0.03330413486893907,\n \"acc_norm\": 0.605828746614574,\n\ \ \"acc_norm_stderr\": 0.03399227272363922,\n \"mc1\": 0.3219094247246022,\n\ \ \"mc1_stderr\": 0.016355567611960404,\n \"mc2\": 0.46569772860679925,\n\ \ \"mc2_stderr\": 0.014510196356063874\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5571672354948806,\n \"acc_stderr\": 0.014515573873348911,\n\ \ \"acc_norm\": 0.5981228668941979,\n \"acc_norm_stderr\": 0.014327268614578274\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6385182234614618,\n\ \ \"acc_stderr\": 0.004794478426382608,\n \"acc_norm\": 0.834196375224059,\n\ \ \"acc_norm_stderr\": 0.0037114419828661815\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145632,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.562962962962963,\n\ \ \"acc_stderr\": 0.04284958639753401,\n \"acc_norm\": 0.562962962962963,\n\ \ \"acc_norm_stderr\": 0.04284958639753401\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\": 0.62,\n\ \ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \ \ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6452830188679245,\n \"acc_stderr\": 0.02944517532819959,\n\ \ \"acc_norm\": 0.6452830188679245,\n \"acc_norm_stderr\": 0.02944517532819959\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6666666666666666,\n\ \ \"acc_stderr\": 0.03942082639927213,\n \"acc_norm\": 0.6666666666666666,\n\ \ \"acc_norm_stderr\": 0.03942082639927213\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956911,\n \ \ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956911\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.48,\n\ \ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\ \ \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5895953757225434,\n\ \ \"acc_stderr\": 0.03750757044895537,\n \"acc_norm\": 0.5895953757225434,\n\ \ \"acc_norm_stderr\": 0.03750757044895537\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.04951218252396264,\n\ \ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.04951218252396264\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.69,\n\ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5106382978723404,\n \"acc_stderr\": 0.03267862331014063,\n\ \ \"acc_norm\": 0.5106382978723404,\n \"acc_norm_stderr\": 0.03267862331014063\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.40350877192982454,\n\ \ \"acc_stderr\": 0.046151869625837026,\n \"acc_norm\": 0.40350877192982454,\n\ \ \"acc_norm_stderr\": 0.046151869625837026\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.47586206896551725,\n \"acc_stderr\": 0.041618085035015295,\n\ \ \"acc_norm\": 0.47586206896551725,\n \"acc_norm_stderr\": 0.041618085035015295\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.37566137566137564,\n \"acc_stderr\": 0.024942368931159795,\n \"\ acc_norm\": 0.37566137566137564,\n \"acc_norm_stderr\": 0.024942368931159795\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.42063492063492064,\n\ \ \"acc_stderr\": 0.04415438226743744,\n \"acc_norm\": 0.42063492063492064,\n\ \ \"acc_norm_stderr\": 0.04415438226743744\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7387096774193549,\n\ \ \"acc_stderr\": 0.024993053397764826,\n \"acc_norm\": 0.7387096774193549,\n\ \ \"acc_norm_stderr\": 0.024993053397764826\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.3645320197044335,\n \"acc_stderr\": 0.033864057460620905,\n\ \ \"acc_norm\": 0.3645320197044335,\n \"acc_norm_stderr\": 0.033864057460620905\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.62,\n \"acc_stderr\": 0.04878317312145632,\n \"acc_norm\"\ : 0.62,\n \"acc_norm_stderr\": 0.04878317312145632\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7636363636363637,\n \"acc_stderr\": 0.03317505930009181,\n\ \ \"acc_norm\": 0.7636363636363637,\n \"acc_norm_stderr\": 0.03317505930009181\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7626262626262627,\n \"acc_stderr\": 0.030313710538198906,\n \"\ acc_norm\": 0.7626262626262627,\n \"acc_norm_stderr\": 0.030313710538198906\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8756476683937824,\n \"acc_stderr\": 0.023814477086593556,\n\ \ \"acc_norm\": 0.8756476683937824,\n \"acc_norm_stderr\": 0.023814477086593556\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5743589743589743,\n \"acc_stderr\": 0.025069094387296535,\n\ \ \"acc_norm\": 0.5743589743589743,\n \"acc_norm_stderr\": 0.025069094387296535\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3592592592592593,\n \"acc_stderr\": 0.029252905927251976,\n \ \ \"acc_norm\": 0.3592592592592593,\n \"acc_norm_stderr\": 0.029252905927251976\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.5798319327731093,\n \"acc_stderr\": 0.03206183783236152,\n \ \ \"acc_norm\": 0.5798319327731093,\n \"acc_norm_stderr\": 0.03206183783236152\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8,\n \"acc_stderr\": 0.017149858514250955,\n \"acc_norm\": 0.8,\n\ \ \"acc_norm_stderr\": 0.017149858514250955\n },\n \"harness\|hendrycksTest-high_school_statistics\|5\"\ : {\n \"acc\": 0.5277777777777778,\n \"acc_stderr\": 0.0340470532865388,\n\ \ \"acc_norm\": 0.5277777777777778,\n \"acc_norm_stderr\": 0.0340470532865388\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7794117647058824,\n \"acc_stderr\": 0.029102254389674082,\n \"\ acc_norm\": 0.7794117647058824,\n \"acc_norm_stderr\": 0.029102254389674082\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7890295358649789,\n \"acc_stderr\": 0.02655837250266192,\n \ \ \"acc_norm\": 0.7890295358649789,\n \"acc_norm_stderr\": 0.02655837250266192\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6502242152466368,\n\ \ \"acc_stderr\": 0.03200736719484503,\n \"acc_norm\": 0.6502242152466368,\n\ \ \"acc_norm_stderr\": 0.03200736719484503\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\":\ \ 0.7520661157024794,\n \"acc_stderr\": 0.03941897526516303,\n \"\ acc_norm\": 0.7520661157024794,\n \"acc_norm_stderr\": 0.03941897526516303\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.6574074074074074,\n\ \ \"acc_stderr\": 0.045879047413018105,\n \"acc_norm\": 0.6574074074074074,\n\ \ \"acc_norm_stderr\": 0.045879047413018105\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7055214723926381,\n \"acc_stderr\": 0.03581165790474082,\n\ \ \"acc_norm\": 0.7055214723926381,\n \"acc_norm_stderr\": 0.03581165790474082\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.4642857142857143,\n\ \ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\ \ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8589743589743589,\n\ \ \"acc_stderr\": 0.02280138253459754,\n \"acc_norm\": 0.8589743589743589,\n\ \ \"acc_norm_stderr\": 0.02280138253459754\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\": 0.7841634738186463,\n\ \ \"acc_stderr\": 0.014711684386139946,\n \"acc_norm\": 0.7841634738186463,\n\ \ \"acc_norm_stderr\": 0.014711684386139946\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.661849710982659,\n \"acc_stderr\": 0.025469770149400175,\n\ \ \"acc_norm\": 0.661849710982659,\n \"acc_norm_stderr\": 0.025469770149400175\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.30614525139664805,\n\ \ \"acc_stderr\": 0.015414494487903219,\n \"acc_norm\": 0.30614525139664805,\n\ \ \"acc_norm_stderr\": 0.015414494487903219\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.696078431372549,\n \"acc_stderr\": 0.026336613469046626,\n\ \ \"acc_norm\": 0.696078431372549,\n \"acc_norm_stderr\": 0.026336613469046626\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6366559485530546,\n\ \ \"acc_stderr\": 0.027316847674192714,\n \"acc_norm\": 0.6366559485530546,\n\ \ \"acc_norm_stderr\": 0.027316847674192714\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6820987654320988,\n \"acc_stderr\": 0.02591006352824088,\n\ \ \"acc_norm\": 0.6820987654320988,\n \"acc_norm_stderr\": 0.02591006352824088\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.42907801418439717,\n \"acc_stderr\": 0.02952591430255856,\n \ \ \"acc_norm\": 0.42907801418439717,\n \"acc_norm_stderr\": 0.02952591430255856\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4511082138200782,\n\ \ \"acc_stderr\": 0.012709037347346233,\n \"acc_norm\": 0.4511082138200782,\n\ \ \"acc_norm_stderr\": 0.012709037347346233\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6066176470588235,\n \"acc_stderr\": 0.029674288281311155,\n\ \ \"acc_norm\": 0.6066176470588235,\n \"acc_norm_stderr\": 0.029674288281311155\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.5947712418300654,\n \"acc_stderr\": 0.019861155193829163,\n \ \ \"acc_norm\": 0.5947712418300654,\n \"acc_norm_stderr\": 0.019861155193829163\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6454545454545455,\n\ \ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\ \ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7020408163265306,\n \"acc_stderr\": 0.029279567411065677,\n\ \ \"acc_norm\": 0.7020408163265306,\n \"acc_norm_stderr\": 0.029279567411065677\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8208955223880597,\n\ \ \"acc_stderr\": 0.027113286753111837,\n \"acc_norm\": 0.8208955223880597,\n\ \ \"acc_norm_stderr\": 0.027113286753111837\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036625,\n \ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036625\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.4819277108433735,\n\ \ \"acc_stderr\": 0.038899512528272166,\n \"acc_norm\": 0.4819277108433735,\n\ \ \"acc_norm_stderr\": 0.038899512528272166\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.783625730994152,\n \"acc_stderr\": 0.031581495393387345,\n\ \ \"acc_norm\": 0.783625730994152,\n \"acc_norm_stderr\": 0.031581495393387345\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.3219094247246022,\n\ \ \"mc1_stderr\": 0.016355567611960404,\n \"mc2\": 0.46569772860679925,\n\ \ \"mc2_stderr\": 0.014510196356063874\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8097868981846882,\n \"acc_stderr\": 0.011030335798617442\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.45109931766489764,\n \ \ \"acc_stderr\": 0.013706458809664817\n }\n}\n```" repo_url: https://huggingface.co/sr5434/CodegebraGPT-10b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|arc:challenge\|25_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|arc:challenge\|25_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-01-05T01-29-14.413360.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|gsm8k\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|gsm8k\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hellaswag\|10_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hellaswag\|10_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-30T15-18-52.631261.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-05T01-29-14.413360.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-management\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|truthfulqa:mc\|0_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-01-05T01-29-14.413360.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '/details_harness\|winogrande\|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '/details_harness\|winogrande\|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-01-05T01-29-14.413360.parquet' - config_name: results data_files: - split: 2023_12_30T15_18_52.631261 path: - results_2023-12-30T15-18-52.631261.parquet - split: 2024_01_05T01_29_14.413360 path: - results_2024-01-05T01-29-14.413360.parquet - split: latest path: - results_2024-01-05T01-29-14.413360.parquet --- # Dataset Card for Evaluation run of sr5434/CodegebraGPT-10b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [sr5434/CodegebraGPT-10b](https://huggingface.co/sr5434/CodegebraGPT-10b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_sr5434__CodegebraGPT-10b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-05T01:29:14.413360](https://huggingface.co/datasets/open-llm-leaderboard/details_sr5434__CodegebraGPT-10b/blob/main/results_2024-01-05T01-29-14.413360.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": 0.6027565325073367, "acc_stderr": 0.03330413486893907, "acc_norm": 0.605828746614574, "acc_norm_stderr": 0.03399227272363922, "mc1": 0.3219094247246022, "mc1_stderr": 0.016355567611960404, "mc2": 0.46569772860679925, "mc2_stderr": 0.014510196356063874 }, "harness\|arc:challenge\|25": { "acc": 0.5571672354948806, "acc_stderr": 0.014515573873348911, "acc_norm": 0.5981228668941979, "acc_norm_stderr": 0.014327268614578274 }, "harness\|hellaswag\|10": { "acc": 0.6385182234614618, "acc_stderr": 0.004794478426382608, "acc_norm": 0.834196375224059, "acc_norm_stderr": 0.0037114419828661815 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.562962962962963, "acc_stderr": 0.04284958639753401, "acc_norm": 0.562962962962963, "acc_norm_stderr": 0.04284958639753401 }, "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": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6452830188679245, "acc_stderr": 0.02944517532819959, "acc_norm": 0.6452830188679245, "acc_norm_stderr": 0.02944517532819959 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6666666666666666, "acc_stderr": 0.03942082639927213, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.03942082639927213 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.49, "acc_stderr": 0.05024183937956911, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956911 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5895953757225434, "acc_stderr": 0.03750757044895537, "acc_norm": 0.5895953757225434, "acc_norm_stderr": 0.03750757044895537 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.45098039215686275, "acc_stderr": 0.04951218252396264, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.04951218252396264 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5106382978723404, "acc_stderr": 0.03267862331014063, "acc_norm": 0.5106382978723404, "acc_norm_stderr": 0.03267862331014063 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.40350877192982454, "acc_stderr": 0.046151869625837026, "acc_norm": 0.40350877192982454, "acc_norm_stderr": 0.046151869625837026 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.47586206896551725, "acc_stderr": 0.041618085035015295, "acc_norm": 0.47586206896551725, "acc_norm_stderr": 0.041618085035015295 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.37566137566137564, "acc_stderr": 0.024942368931159795, "acc_norm": 0.37566137566137564, "acc_norm_stderr": 0.024942368931159795 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.42063492063492064, "acc_stderr": 0.04415438226743744, "acc_norm": 0.42063492063492064, "acc_norm_stderr": 0.04415438226743744 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7387096774193549, "acc_stderr": 0.024993053397764826, "acc_norm": 0.7387096774193549, "acc_norm_stderr": 0.024993053397764826 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.3645320197044335, "acc_stderr": 0.033864057460620905, "acc_norm": 0.3645320197044335, "acc_norm_stderr": 0.033864057460620905 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.62, "acc_stderr": 0.04878317312145632, "acc_norm": 0.62, "acc_norm_stderr": 0.04878317312145632 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7636363636363637, "acc_stderr": 0.03317505930009181, "acc_norm": 0.7636363636363637, "acc_norm_stderr": 0.03317505930009181 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7626262626262627, "acc_stderr": 0.030313710538198906, "acc_norm": 0.7626262626262627, "acc_norm_stderr": 0.030313710538198906 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8756476683937824, "acc_stderr": 0.023814477086593556, "acc_norm": 0.8756476683937824, "acc_norm_stderr": 0.023814477086593556 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5743589743589743, "acc_stderr": 0.025069094387296535, "acc_norm": 0.5743589743589743, "acc_norm_stderr": 0.025069094387296535 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3592592592592593, "acc_stderr": 0.029252905927251976, "acc_norm": 0.3592592592592593, "acc_norm_stderr": 0.029252905927251976 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.5798319327731093, "acc_stderr": 0.03206183783236152, "acc_norm": 0.5798319327731093, "acc_norm_stderr": 0.03206183783236152 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8, "acc_stderr": 0.017149858514250955, "acc_norm": 0.8, "acc_norm_stderr": 0.017149858514250955 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5277777777777778, "acc_stderr": 0.0340470532865388, "acc_norm": 0.5277777777777778, "acc_norm_stderr": 0.0340470532865388 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7794117647058824, "acc_stderr": 0.029102254389674082, "acc_norm": 0.7794117647058824, "acc_norm_stderr": 0.029102254389674082 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7890295358649789, "acc_stderr": 0.02655837250266192, "acc_norm": 0.7890295358649789, "acc_norm_stderr": 0.02655837250266192 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6502242152466368, "acc_stderr": 0.03200736719484503, "acc_norm": 0.6502242152466368, "acc_norm_stderr": 0.03200736719484503 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.6946564885496184, "acc_stderr": 0.04039314978724561, "acc_norm": 0.6946564885496184, "acc_norm_stderr": 0.04039314978724561 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7520661157024794, "acc_stderr": 0.03941897526516303, "acc_norm": 0.7520661157024794, "acc_norm_stderr": 0.03941897526516303 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.6574074074074074, "acc_stderr": 0.045879047413018105, "acc_norm": 0.6574074074074074, "acc_norm_stderr": 0.045879047413018105 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7055214723926381, "acc_stderr": 0.03581165790474082, "acc_norm": 0.7055214723926381, "acc_norm_stderr": 0.03581165790474082 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.4642857142857143, "acc_stderr": 0.04733667890053756, "acc_norm": 0.4642857142857143, "acc_norm_stderr": 0.04733667890053756 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8589743589743589, "acc_stderr": 0.02280138253459754, "acc_norm": 0.8589743589743589, "acc_norm_stderr": 0.02280138253459754 }, "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": 0.7841634738186463, "acc_stderr": 0.014711684386139946, "acc_norm": 0.7841634738186463, "acc_norm_stderr": 0.014711684386139946 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.661849710982659, "acc_stderr": 0.025469770149400175, "acc_norm": 0.661849710982659, "acc_norm_stderr": 0.025469770149400175 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.30614525139664805, "acc_stderr": 0.015414494487903219, "acc_norm": 0.30614525139664805, "acc_norm_stderr": 0.015414494487903219 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.696078431372549, "acc_stderr": 0.026336613469046626, "acc_norm": 0.696078431372549, "acc_norm_stderr": 0.026336613469046626 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6366559485530546, "acc_stderr": 0.027316847674192714, "acc_norm": 0.6366559485530546, "acc_norm_stderr": 0.027316847674192714 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6820987654320988, "acc_stderr": 0.02591006352824088, "acc_norm": 0.6820987654320988, "acc_norm_stderr": 0.02591006352824088 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.42907801418439717, "acc_stderr": 0.02952591430255856, "acc_norm": 0.42907801418439717, "acc_norm_stderr": 0.02952591430255856 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4511082138200782, "acc_stderr": 0.012709037347346233, "acc_norm": 0.4511082138200782, "acc_norm_stderr": 0.012709037347346233 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6066176470588235, "acc_stderr": 0.029674288281311155, "acc_norm": 0.6066176470588235, "acc_norm_stderr": 0.029674288281311155 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.5947712418300654, "acc_stderr": 0.019861155193829163, "acc_norm": 0.5947712418300654, "acc_norm_stderr": 0.019861155193829163 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6454545454545455, "acc_stderr": 0.045820048415054174, "acc_norm": 0.6454545454545455, "acc_norm_stderr": 0.045820048415054174 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7020408163265306, "acc_stderr": 0.029279567411065677, "acc_norm": 0.7020408163265306, "acc_norm_stderr": 0.029279567411065677 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8208955223880597, "acc_stderr": 0.027113286753111837, "acc_norm": 0.8208955223880597, "acc_norm_stderr": 0.027113286753111837 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.81, "acc_stderr": 0.03942772444036625, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036625 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.4819277108433735, "acc_stderr": 0.038899512528272166, "acc_norm": 0.4819277108433735, "acc_norm_stderr": 0.038899512528272166 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.783625730994152, "acc_stderr": 0.031581495393387345, "acc_norm": 0.783625730994152, "acc_norm_stderr": 0.031581495393387345 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.3219094247246022, "mc1_stderr": 0.016355567611960404, "mc2": 0.46569772860679925, "mc2_stderr": 0.014510196356063874 }, "harness\|winogrande\|5": { "acc": 0.8097868981846882, "acc_stderr": 0.011030335798617442 }, "harness\|gsm8k\|5": { "acc": 0.45109931766489764, "acc_stderr": 0.013706458809664817 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
liuyanchen1015/MULTI_VALUE_stsb_it_is_referential	--- dataset_info: features: - name: sentence1 dtype: string - name: sentence2 dtype: string - name: score dtype: float64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 727 num_examples: 4 - name: test num_bytes: 247 num_examples: 2 - name: train num_bytes: 1164 num_examples: 6 download_size: 9992 dataset_size: 2138 --- # Dataset Card for "MULTI_VALUE_stsb_it_is_referential" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
distinsion/generated_images	--- size_categories: n<1K config_names: - text_field_for_argilla tags: - synthetic - distilabel - rlaif --- <p align="left"> <a href="https://github.com/argilla-io/distilabel"> <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/> </a> </p> # Dataset Card for generated_images This dataset has been created with [Distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/distinsion/generated_images/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/distinsion/generated_images/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: text_field_for_argilla </summary><hr> ```json { "evolved_instruction": "Can you identify the species of this bird?", "generated_image_url": "https://oaidalleapiprodscus.blob.core.windows.net/private/org-2FK3RSLIytfK9EtweFtnnAfg/user-hfvBma1cXbdtoCf3WES95wiB/img-7xYV261geAAr9mjtMy829srS.png?st=2024-04-12T09%3A20%3A52Z\u0026se=2024-04-12T11%3A20%3A52Z\u0026sp=r\u0026sv=2021-08-06\u0026sr=b\u0026rscd=inline\u0026rsct=image/png\u0026skoid=6aaadede-4fb3-4698-a8f6-684d7786b067\u0026sktid=a48cca56-e6da-484e-a814-9c849652bcb3\u0026skt=2024-04-12T08%3A04%3A02Z\u0026ske=2024-04-13T08%3A04%3A02Z\u0026sks=b\u0026skv=2021-08-06\u0026sig=4zCigddawumNANK4bsEREFv2wUA%2BeKZwzQ/4YvmlaOQ%3D", "generated_instruction": "What species is depicted in the image, and can you provide some details about its natural habitat and adaptations?", "generated_response": "The image shows a llama, which is native to the Andes Mountains in South America. Llamas are well adapted to the high altitude and cold temperatures of the mountains, with their thick", "generation": "The image you provided is actually of a Highland cow, not a bird. Highland cows are a Scottish breed of cattle known for their long horns and shaggy coats. They are well adapted to the cold weather of the Scottish Highlands.", "image_gen_prompt": "Create an image of a llama standing in a mountain grassland setting, with the Andes Mountains visible in the background. The llama should appear fluffy and predominantly white with some light brown patches. It should be shown early in the morning with light mist swirling around, suggesting a chilly climate.", "instruction_with_image": [ { "content": [ { "image_url": null, "text": "Can you identify the species of this bird?", "type": "text" }, { "image_url": { "url": "https://picsum.photos/id/200/1920/1280" }, "text": null, "type": "image_url" } ], "role": "user" } ], "model_name": "gpt-4-turbo-2024-04-09", "text_field_for_argilla": "Instruction: What species is depicted in the image, and can you provide some details about its natural habitat and adaptations?\n\n![Generated Image](https://oaidalleapiprodscus.blob.core.windows.net/private/org-2FK3RSLIytfK9EtweFtnnAfg/user-hfvBma1cXbdtoCf3WES95wiB/img-7xYV261geAAr9mjtMy829srS.png?st=2024-04-12T09%3A20%3A52Z\u0026se=2024-04-12T11%3A20%3A52Z\u0026sp=r\u0026sv=2021-08-06\u0026sr=b\u0026rscd=inline\u0026rsct=image/png\u0026skoid=6aaadede-4fb3-4698-a8f6-684d7786b067\u0026sktid=a48cca56-e6da-484e-a814-9c849652bcb3\u0026skt=2024-04-12T08%3A04%3A02Z\u0026ske=2024-04-13T08%3A04%3A02Z\u0026sks=b\u0026skv=2021-08-06\u0026sig=4zCigddawumNANK4bsEREFv2wUA%2BeKZwzQ/4YvmlaOQ%3D)\n\nResponse: The image shows a llama, which is native to the Andes Mountains in South America. Llamas are well adapted to the high altitude and cold temperatures of the mountains, with their thick\n" } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("distinsion/generated_images", "text_field_for_argilla") ``` </details>
Ondiet/bert_model	--- license: openrail ---
Jephson/edited-sky-dataset-4	--- dataset_info: features: - name: original_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 325824748.72 num_examples: 1120 download_size: 325957005 dataset_size: 325824748.72 --- # Dataset Card for "edited-sky-dataset-4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
delphi-suite/v0-next-logprobs-llama2-200k	--- dataset_info: features: - name: logprobs sequence: float64 splits: - name: validation num_bytes: 45818277 num_examples: 10982 download_size: 37571491 dataset_size: 45818277 configs: - config_name: default data_files: - split: validation path: data/validation-* ---
results-sd-v1-5-sd-v2-1-if-v1-0-karlo/bcd1c9db	--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 184 num_examples: 10 download_size: 1341 dataset_size: 184 --- # Dataset Card for "bcd1c9db" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
irds/clinicaltrials_2019	--- pretty_name: '`clinicaltrials/2019`' viewer: false source_datasets: [] task_categories: - text-retrieval --- # Dataset Card for `clinicaltrials/2019` The `clinicaltrials/2019` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/clinicaltrials#clinicaltrials/2019). # Data This dataset provides: - `docs` (documents, i.e., the corpus); count=306,238 This dataset is used by: [`clinicaltrials_2019_trec-pm-2019`](https://huggingface.co/datasets/irds/clinicaltrials_2019_trec-pm-2019) ## Usage ```python from datasets import load_dataset docs = load_dataset('irds/clinicaltrials_2019', 'docs') for record in docs: record # {'doc_id': ..., 'title': ..., 'condition': ..., 'summary': ..., 'detailed_description': ..., 'eligibility': ...} ``` Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format.
CyberHarem/todoroki_nene_seitokaiyakuindomo	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Todoroki Nene (Seitokai Yakuindomo) This is the dataset of Todoroki Nene (Seitokai Yakuindomo), containing 88 images and their tags. The core tags of this character are `brown_hair, glasses, brown_eyes, bow, short_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages \| Name \| Images \| Size \| Download \| Type \| Description \| \|:-----------------\|---------:\|:----------\|:----------------------------------------------------------------------------------------------------------------------------------\|:-----------\|:---------------------------------------------------------------------\| \| raw \| 88 \| 47.10 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/todoroki_nene_seitokaiyakuindomo/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 88 \| 39.05 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/todoroki_nene_seitokaiyakuindomo/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 190 \| 80.19 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/todoroki_nene_seitokaiyakuindomo/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 88 \| 47.07 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/todoroki_nene_seitokaiyakuindomo/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 190 \| 93.16 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/todoroki_nene_seitokaiyakuindomo/resolve/main/dataset-stage3-p480-1200.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/todoroki_nene_seitokaiyakuindomo', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| Tags \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:------------------------------------------------\| \| 0 \| 15 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| 1girl, school_uniform, solo, blazer, smile \| \| 1 \| 5 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| 1girl, closed_eyes, school_uniform, smile, solo \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| school_uniform \| solo \| blazer \| smile \| closed_eyes \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:-----------------\|:-------\|:---------\|:--------\|:--------------\| \| 0 \| 15 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| X \| X \| X \| X \| X \| \| \| 1 \| 5 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| X \| X \| X \| \| X \| X \|
communityai/aptchat-v2-general-12k	--- dataset_info: features: - name: category dtype: string - name: total_tokens dtype: int64 - name: conversations list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 163318716.0 num_examples: 12197 download_size: 86039185 dataset_size: 163318716.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
Hiraishin/ujianjpj-tanda-isyarat	--- license: apache-2.0 ---
bazyl/GTSRB	--- annotations_creators: - crowdsourced language_creators: - found language: [] license: - gpl-3.0 multilinguality: [] size_categories: - 10K<n<100K source_datasets: - original task_categories: - image-classification task_ids: - multi-label-image-classification pretty_name: GTSRB --- # Dataset Card for GTSRB ## 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: http://www.sciencedirect.com/science/article/pii/S0893608012000457 - Repository: https://github.com/bazylhorsey/gtsrb/ - Paper: Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition - Leaderboard: https://benchmark.ini.rub.de/gtsrb_results.html - Point of Contact: bhorsey16@gmail.com ### Dataset Summary The German Traffic Sign Benchmark is a multi-class, single-image classification challenge held at the International Joint Conference on Neural Networks (IJCNN) 2011. We cordially invite researchers from relevant fields to participate: The competition is designed to allow for participation without special domain knowledge. Our benchmark has the following properties: - Single-image, multi-class classification problem - More than 40 classes - More than 50,000 images in total - Large, lifelike database ### Supported Tasks and Leaderboards [Kaggle](https://www.kaggle.com/datasets/meowmeowmeowmeowmeow/gtsrb-german-traffic-sign) \ [Original](https://benchmark.ini.rub.de/gtsrb_results.html) ## Dataset Structure ### Data Instances ``` { "Width": 31, "Height": 31, "Roi.X1": 6, "Roi.Y1": 6, "Roi.X2": 26, "Roi.Y2": 26, "ClassId": 20, "Path": "Train/20/00020_00004_00002.png", } ``` ### Data Fields - Width: width of image - Height: Height of image - Roi.X1: Upper left X coordinate - Roi.Y1: Upper left Y coordinate - Roi.X2: Lower right t X coordinate - Roi.Y2: Lower right Y coordinate - ClassId: Class of image - Path: Path of image ### Data Splits Categories: 42 Train: 39209 Test: 12630 ## Dataset Creation ### Curation Rationale Recognition of traffic signs is a challenging real-world problem of high industrial relevance. Although commercial systems have reached the market and several studies on this topic have been published, systematic unbiased comparisons of different approaches are missing and comprehensive benchmark datasets are not freely available. Traffic sign recognition is a multi-class classification problem with unbalanced class frequencies. Traffic signs can provide a wide range of variations between classes in terms of color, shape, and the presence of pictograms or text. However, there exist subsets of classes (e. g., speed limit signs) that are very similar to each other. The classifier has to cope with large variations in visual appearances due to illumination changes, partial occlusions, rotations, weather conditions, etc. Humans are capable of recognizing the large variety of existing road signs with close to 100% correctness. This does not only apply to real-world driving, which provides both context and multiple views of a single traffic sign, but also to the recognition from single images. <!-- ### 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 [Needs More Information] -->
iahlt/alarab_articles	--- dataset_info: features: - name: url dtype: string - name: title dtype: string - name: description dtype: string - name: meta_keywords sequence: string - name: tags sequence: string - name: public_date dtype: string - name: author dtype: string - name: subtitle dtype: string - name: view dtype: int64 - name: main_category dtype: string - name: sub_category dtype: string - name: city dtype: string - name: text dtype: string - name: title_len dtype: int64 - name: description_len dtype: int64 - name: public_date_len dtype: float64 - name: subtitle_len dtype: float64 - name: text_len dtype: int64 splits: - name: train num_bytes: 497537790 num_examples: 145069 download_size: 211536806 dataset_size: 497537790 configs: - config_name: default data_files: - split: train path: data/train-* task_categories: - feature-extraction - fill-mask language: - ar --- ### Description Scraped articles from alarab (~145,069 articles) ### Usage ```python from datasets import load_dataset ds = load_dataset("iahlt/alarab_articles") ``` ### Sample ```json {'url': 'https://www.alarab.co.il/Article/1038538', 'title': 'وفيات النقب \| الحاجة فاطمة البحيري في ذمة الله', 'description': 'انتقلت إلى رحمته تعالى مساء اليوم، السبت، في اللقية الحاجة فاطمة حسن الأسد-البحيري (أم سلمان) عن عمر ناهز 93 عاما. والمرحومة هي أرملة المرحوم علي البحيري.ومن المتوقع أن يتم تشييع جثمانها الطاهر إلى أول منازل الآخرة في مقبرة خربة اللقية صب', 'meta_keywords': ['اخبار اليوم، موقع العرب، اخبار العرب، موقع أخبار ، رياضة ، سياسة ، فن عالمي ، فن عربي ، اقتصاد ، موسيقى ، ترفيه ، ألعاب ، سيارات ، أغاني ، كليبات ، افلام عربية ، صور جميلات العرب ومشاهير العرب'], 'tags': ['حالة الطقس', 'اسعار العملات مقابل الشيكل', 'الطقس', 'حالة الطقس اليوم'], 'public_date': '09/07/22 22:40', 'author': 'ياسر العقبي', 'subtitle': 'وفيات النقب \| الحاجة فاطمة البحيري في ذمة الله', 'view': 20, 'main_category': 'أخبار', 'sub_category': 'وفيات', 'city': None, 'text': 'انتقلت إلى رحمته تعالى مساء اليوم، السبت، في اللقية الحاجة فاطمة حسن الأسد-البحيري (أم سلمان) عن عمر ناهز 93 عاما. والمرحومة هي أرملة المرحوم علي البحيري.ومن المتوقع أن يتم تشييع جثمانها الطاهر إلى أول منازل الآخرة في مقبرة خربة اللقية صباح يوم غد الأحد.تقبل التعازي في خيمة العزاء بالقرب من بيت الفقيدة.', 'title_len': 46, 'description_len': 238, 'public_date_len': 14.0, 'subtitle_len': 46.0, 'text_len': 304} ``` ### Citation If you use this dataset, please cite: ``` @InProceedings{iahlt2023alarab_articles, author = "iahlt", title = "Arabic Corpus: Alarab", year = "2023", publisher = "", location = "", } ```
open-llm-leaderboard/details_genaicore3434__Mistral-7b-instruct-v0.2-summ-sft-lp-e1	--- pretty_name: Evaluation run of genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1](https://huggingface.co/genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_genaicore3434__Mistral-7b-instruct-v0.2-summ-sft-lp-e1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-21T06:47:29.951488](https://huggingface.co/datasets/open-llm-leaderboard/details_genaicore3434__Mistral-7b-instruct-v0.2-summ-sft-lp-e1/blob/main/results_2024-01-21T06-47-29.951488.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\": 0.59052978065543,\n\ \ \"acc_stderr\": 0.03349268505074206,\n \"acc_norm\": 0.5952047695238794,\n\ \ \"acc_norm_stderr\": 0.03418111471832376,\n \"mc1\": 0.4663402692778458,\n\ \ \"mc1_stderr\": 0.017463793867168106,\n \"mc2\": 0.6325766616332602,\n\ \ \"mc2_stderr\": 0.015487593519142183\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5477815699658704,\n \"acc_stderr\": 0.014544519880633825,\n\ \ \"acc_norm\": 0.5955631399317406,\n \"acc_norm_stderr\": 0.01434203648343618\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6301533559051982,\n\ \ \"acc_stderr\": 0.004817763581410245,\n \"acc_norm\": 0.8227444732125074,\n\ \ \"acc_norm_stderr\": 0.0038110434120246627\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\": 0.562962962962963,\n\ \ \"acc_stderr\": 0.04284958639753401,\n \"acc_norm\": 0.562962962962963,\n\ \ \"acc_norm_stderr\": 0.04284958639753401\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6052631578947368,\n \"acc_stderr\": 0.039777499346220734,\n\ \ \"acc_norm\": 0.6052631578947368,\n \"acc_norm_stderr\": 0.039777499346220734\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.57,\n\ \ \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\": 0.57,\n \ \ \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6377358490566037,\n \"acc_stderr\": 0.0295822451283843,\n\ \ \"acc_norm\": 0.6377358490566037,\n \"acc_norm_stderr\": 0.0295822451283843\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6527777777777778,\n\ \ \"acc_stderr\": 0.039812405437178615,\n \"acc_norm\": 0.6527777777777778,\n\ \ \"acc_norm_stderr\": 0.039812405437178615\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \ \ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.049756985195624284\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\"\ : 0.54,\n \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5780346820809249,\n\ \ \"acc_stderr\": 0.0376574669386515,\n \"acc_norm\": 0.5780346820809249,\n\ \ \"acc_norm_stderr\": 0.0376574669386515\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4019607843137255,\n \"acc_stderr\": 0.04878608714466996,\n\ \ \"acc_norm\": 0.4019607843137255,\n \"acc_norm_stderr\": 0.04878608714466996\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.67,\n \"acc_stderr\": 0.04725815626252609,\n \"acc_norm\": 0.67,\n\ \ \"acc_norm_stderr\": 0.04725815626252609\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5148936170212766,\n \"acc_stderr\": 0.03267151848924777,\n\ \ \"acc_norm\": 0.5148936170212766,\n \"acc_norm_stderr\": 0.03267151848924777\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.39473684210526316,\n\ \ \"acc_stderr\": 0.045981880578165414,\n \"acc_norm\": 0.39473684210526316,\n\ \ \"acc_norm_stderr\": 0.045981880578165414\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.593103448275862,\n \"acc_stderr\": 0.04093793981266236,\n\ \ \"acc_norm\": 0.593103448275862,\n \"acc_norm_stderr\": 0.04093793981266236\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.37566137566137564,\n \"acc_stderr\": 0.024942368931159788,\n \"\ acc_norm\": 0.37566137566137564,\n \"acc_norm_stderr\": 0.024942368931159788\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.3968253968253968,\n\ \ \"acc_stderr\": 0.043758884927270605,\n \"acc_norm\": 0.3968253968253968,\n\ \ \"acc_norm_stderr\": 0.043758884927270605\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.6612903225806451,\n\ \ \"acc_stderr\": 0.026923446059302837,\n \"acc_norm\": 0.6612903225806451,\n\ \ \"acc_norm_stderr\": 0.026923446059302837\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5073891625615764,\n \"acc_stderr\": 0.0351760354036101,\n\ \ \"acc_norm\": 0.5073891625615764,\n \"acc_norm_stderr\": 0.0351760354036101\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\"\ : 0.57,\n \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.703030303030303,\n \"acc_stderr\": 0.035679697722680495,\n\ \ \"acc_norm\": 0.703030303030303,\n \"acc_norm_stderr\": 0.035679697722680495\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7424242424242424,\n \"acc_stderr\": 0.03115626951964683,\n \"\ acc_norm\": 0.7424242424242424,\n \"acc_norm_stderr\": 0.03115626951964683\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8341968911917098,\n \"acc_stderr\": 0.026839845022314415,\n\ \ \"acc_norm\": 0.8341968911917098,\n \"acc_norm_stderr\": 0.026839845022314415\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5384615384615384,\n \"acc_stderr\": 0.025275892070240644,\n\ \ \"acc_norm\": 0.5384615384615384,\n \"acc_norm_stderr\": 0.025275892070240644\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.35555555555555557,\n \"acc_stderr\": 0.029185714949857406,\n \ \ \"acc_norm\": 0.35555555555555557,\n \"acc_norm_stderr\": 0.029185714949857406\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.5546218487394958,\n \"acc_stderr\": 0.0322841062671639,\n \ \ \"acc_norm\": 0.5546218487394958,\n \"acc_norm_stderr\": 0.0322841062671639\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7834862385321101,\n \"acc_stderr\": 0.017658710594443128,\n \"\ acc_norm\": 0.7834862385321101,\n \"acc_norm_stderr\": 0.017658710594443128\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.4583333333333333,\n \"acc_stderr\": 0.03398110890294636,\n \"\ acc_norm\": 0.4583333333333333,\n \"acc_norm_stderr\": 0.03398110890294636\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7549019607843137,\n \"acc_stderr\": 0.030190282453501947,\n \"\ acc_norm\": 0.7549019607843137,\n \"acc_norm_stderr\": 0.030190282453501947\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7552742616033755,\n \"acc_stderr\": 0.027985699387036423,\n \ \ \"acc_norm\": 0.7552742616033755,\n \"acc_norm_stderr\": 0.027985699387036423\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6143497757847534,\n\ \ \"acc_stderr\": 0.03266842214289201,\n \"acc_norm\": 0.6143497757847534,\n\ \ \"acc_norm_stderr\": 0.03266842214289201\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7175572519083969,\n \"acc_stderr\": 0.03948406125768361,\n\ \ \"acc_norm\": 0.7175572519083969,\n \"acc_norm_stderr\": 0.03948406125768361\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7520661157024794,\n \"acc_stderr\": 0.03941897526516303,\n \"\ acc_norm\": 0.7520661157024794,\n \"acc_norm_stderr\": 0.03941897526516303\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7407407407407407,\n\ \ \"acc_stderr\": 0.04236511258094634,\n \"acc_norm\": 0.7407407407407407,\n\ \ \"acc_norm_stderr\": 0.04236511258094634\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7055214723926381,\n \"acc_stderr\": 0.03581165790474082,\n\ \ \"acc_norm\": 0.7055214723926381,\n \"acc_norm_stderr\": 0.03581165790474082\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.4107142857142857,\n\ \ \"acc_stderr\": 0.04669510663875191,\n \"acc_norm\": 0.4107142857142857,\n\ \ \"acc_norm_stderr\": 0.04669510663875191\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.6699029126213593,\n \"acc_stderr\": 0.0465614711001235,\n\ \ \"acc_norm\": 0.6699029126213593,\n \"acc_norm_stderr\": 0.0465614711001235\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8504273504273504,\n\ \ \"acc_stderr\": 0.023365051491753715,\n \"acc_norm\": 0.8504273504273504,\n\ \ \"acc_norm_stderr\": 0.023365051491753715\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.67,\n \"acc_stderr\": 0.047258156262526094,\n \ \ \"acc_norm\": 0.67,\n \"acc_norm_stderr\": 0.047258156262526094\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.7624521072796935,\n\ \ \"acc_stderr\": 0.015218733046150191,\n \"acc_norm\": 0.7624521072796935,\n\ \ \"acc_norm_stderr\": 0.015218733046150191\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6560693641618497,\n \"acc_stderr\": 0.025574123786546665,\n\ \ \"acc_norm\": 0.6560693641618497,\n \"acc_norm_stderr\": 0.025574123786546665\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.33519553072625696,\n\ \ \"acc_stderr\": 0.015788007190185888,\n \"acc_norm\": 0.33519553072625696,\n\ \ \"acc_norm_stderr\": 0.015788007190185888\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6601307189542484,\n \"acc_stderr\": 0.027121956071388852,\n\ \ \"acc_norm\": 0.6601307189542484,\n \"acc_norm_stderr\": 0.027121956071388852\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6720257234726688,\n\ \ \"acc_stderr\": 0.02666441088693762,\n \"acc_norm\": 0.6720257234726688,\n\ \ \"acc_norm_stderr\": 0.02666441088693762\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6820987654320988,\n \"acc_stderr\": 0.025910063528240875,\n\ \ \"acc_norm\": 0.6820987654320988,\n \"acc_norm_stderr\": 0.025910063528240875\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.46099290780141844,\n \"acc_stderr\": 0.02973659252642444,\n \ \ \"acc_norm\": 0.46099290780141844,\n \"acc_norm_stderr\": 0.02973659252642444\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.424380704041721,\n\ \ \"acc_stderr\": 0.01262334375743002,\n \"acc_norm\": 0.424380704041721,\n\ \ \"acc_norm_stderr\": 0.01262334375743002\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.5992647058823529,\n \"acc_stderr\": 0.029768263528933105,\n\ \ \"acc_norm\": 0.5992647058823529,\n \"acc_norm_stderr\": 0.029768263528933105\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6143790849673203,\n \"acc_stderr\": 0.019691459052354022,\n \ \ \"acc_norm\": 0.6143790849673203,\n \"acc_norm_stderr\": 0.019691459052354022\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6727272727272727,\n\ \ \"acc_stderr\": 0.04494290866252091,\n \"acc_norm\": 0.6727272727272727,\n\ \ \"acc_norm_stderr\": 0.04494290866252091\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784596,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784596\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.7711442786069652,\n\ \ \"acc_stderr\": 0.029705284056772432,\n \"acc_norm\": 0.7711442786069652,\n\ \ \"acc_norm_stderr\": 0.029705284056772432\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036624,\n \ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036624\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.4819277108433735,\n\ \ \"acc_stderr\": 0.038899512528272166,\n \"acc_norm\": 0.4819277108433735,\n\ \ \"acc_norm_stderr\": 0.038899512528272166\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.7894736842105263,\n \"acc_stderr\": 0.0312678171466318,\n\ \ \"acc_norm\": 0.7894736842105263,\n \"acc_norm_stderr\": 0.0312678171466318\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.4663402692778458,\n\ \ \"mc1_stderr\": 0.017463793867168106,\n \"mc2\": 0.6325766616332602,\n\ \ \"mc2_stderr\": 0.015487593519142183\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7703235990528808,\n \"acc_stderr\": 0.011821645601838229\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.3752843062926459,\n \ \ \"acc_stderr\": 0.013337170545742934\n }\n}\n```" repo_url: https://huggingface.co/genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|arc:challenge\|25_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|arc:challenge\|25_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-01-21T06-47-29.951488.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|gsm8k\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|gsm8k\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hellaswag\|10_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hellaswag\|10_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-21T06-41-01.110110.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-21T06-47-29.951488.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-management\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-management\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|truthfulqa:mc\|0_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|truthfulqa:mc\|0_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-01-21T06-47-29.951488.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '/details_harness\|winogrande\|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '/details_harness\|winogrande\|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-01-21T06-47-29.951488.parquet' - config_name: results data_files: - split: 2024_01_21T06_41_01.110110 path: - results_2024-01-21T06-41-01.110110.parquet - split: 2024_01_21T06_47_29.951488 path: - results_2024-01-21T06-47-29.951488.parquet - split: latest path: - results_2024-01-21T06-47-29.951488.parquet --- # Dataset Card for Evaluation run of genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1](https://huggingface.co/genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_genaicore3434__Mistral-7b-instruct-v0.2-summ-sft-lp-e1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-21T06:47:29.951488](https://huggingface.co/datasets/open-llm-leaderboard/details_genaicore3434__Mistral-7b-instruct-v0.2-summ-sft-lp-e1/blob/main/results_2024-01-21T06-47-29.951488.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": 0.59052978065543, "acc_stderr": 0.03349268505074206, "acc_norm": 0.5952047695238794, "acc_norm_stderr": 0.03418111471832376, "mc1": 0.4663402692778458, "mc1_stderr": 0.017463793867168106, "mc2": 0.6325766616332602, "mc2_stderr": 0.015487593519142183 }, "harness\|arc:challenge\|25": { "acc": 0.5477815699658704, "acc_stderr": 0.014544519880633825, "acc_norm": 0.5955631399317406, "acc_norm_stderr": 0.01434203648343618 }, "harness\|hellaswag\|10": { "acc": 0.6301533559051982, "acc_stderr": 0.004817763581410245, "acc_norm": 0.8227444732125074, "acc_norm_stderr": 0.0038110434120246627 }, "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": 0.562962962962963, "acc_stderr": 0.04284958639753401, "acc_norm": 0.562962962962963, "acc_norm_stderr": 0.04284958639753401 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6052631578947368, "acc_stderr": 0.039777499346220734, "acc_norm": 0.6052631578947368, "acc_norm_stderr": 0.039777499346220734 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6377358490566037, "acc_stderr": 0.0295822451283843, "acc_norm": 0.6377358490566037, "acc_norm_stderr": 0.0295822451283843 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6527777777777778, "acc_stderr": 0.039812405437178615, "acc_norm": 0.6527777777777778, "acc_norm_stderr": 0.039812405437178615 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5780346820809249, "acc_stderr": 0.0376574669386515, "acc_norm": 0.5780346820809249, "acc_norm_stderr": 0.0376574669386515 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4019607843137255, "acc_stderr": 0.04878608714466996, "acc_norm": 0.4019607843137255, "acc_norm_stderr": 0.04878608714466996 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.67, "acc_stderr": 0.04725815626252609, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252609 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5148936170212766, "acc_stderr": 0.03267151848924777, "acc_norm": 0.5148936170212766, "acc_norm_stderr": 0.03267151848924777 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.39473684210526316, "acc_stderr": 0.045981880578165414, "acc_norm": 0.39473684210526316, "acc_norm_stderr": 0.045981880578165414 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.593103448275862, "acc_stderr": 0.04093793981266236, "acc_norm": 0.593103448275862, "acc_norm_stderr": 0.04093793981266236 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.37566137566137564, "acc_stderr": 0.024942368931159788, "acc_norm": 0.37566137566137564, "acc_norm_stderr": 0.024942368931159788 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.3968253968253968, "acc_stderr": 0.043758884927270605, "acc_norm": 0.3968253968253968, "acc_norm_stderr": 0.043758884927270605 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.6612903225806451, "acc_stderr": 0.026923446059302837, "acc_norm": 0.6612903225806451, "acc_norm_stderr": 0.026923446059302837 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5073891625615764, "acc_stderr": 0.0351760354036101, "acc_norm": 0.5073891625615764, "acc_norm_stderr": 0.0351760354036101 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.703030303030303, "acc_stderr": 0.035679697722680495, "acc_norm": 0.703030303030303, "acc_norm_stderr": 0.035679697722680495 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7424242424242424, "acc_stderr": 0.03115626951964683, "acc_norm": 0.7424242424242424, "acc_norm_stderr": 0.03115626951964683 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8341968911917098, "acc_stderr": 0.026839845022314415, "acc_norm": 0.8341968911917098, "acc_norm_stderr": 0.026839845022314415 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5384615384615384, "acc_stderr": 0.025275892070240644, "acc_norm": 0.5384615384615384, "acc_norm_stderr": 0.025275892070240644 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.35555555555555557, "acc_stderr": 0.029185714949857406, "acc_norm": 0.35555555555555557, "acc_norm_stderr": 0.029185714949857406 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.5546218487394958, "acc_stderr": 0.0322841062671639, "acc_norm": 0.5546218487394958, "acc_norm_stderr": 0.0322841062671639 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7834862385321101, "acc_stderr": 0.017658710594443128, "acc_norm": 0.7834862385321101, "acc_norm_stderr": 0.017658710594443128 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4583333333333333, "acc_stderr": 0.03398110890294636, "acc_norm": 0.4583333333333333, "acc_norm_stderr": 0.03398110890294636 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7549019607843137, "acc_stderr": 0.030190282453501947, "acc_norm": 0.7549019607843137, "acc_norm_stderr": 0.030190282453501947 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7552742616033755, "acc_stderr": 0.027985699387036423, "acc_norm": 0.7552742616033755, "acc_norm_stderr": 0.027985699387036423 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6143497757847534, "acc_stderr": 0.03266842214289201, "acc_norm": 0.6143497757847534, "acc_norm_stderr": 0.03266842214289201 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7175572519083969, "acc_stderr": 0.03948406125768361, "acc_norm": 0.7175572519083969, "acc_norm_stderr": 0.03948406125768361 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7520661157024794, "acc_stderr": 0.03941897526516303, "acc_norm": 0.7520661157024794, "acc_norm_stderr": 0.03941897526516303 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7407407407407407, "acc_stderr": 0.04236511258094634, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.04236511258094634 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7055214723926381, "acc_stderr": 0.03581165790474082, "acc_norm": 0.7055214723926381, "acc_norm_stderr": 0.03581165790474082 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.4107142857142857, "acc_stderr": 0.04669510663875191, "acc_norm": 0.4107142857142857, "acc_norm_stderr": 0.04669510663875191 }, "harness\|hendrycksTest-management\|5": { "acc": 0.6699029126213593, "acc_stderr": 0.0465614711001235, "acc_norm": 0.6699029126213593, "acc_norm_stderr": 0.0465614711001235 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8504273504273504, "acc_stderr": 0.023365051491753715, "acc_norm": 0.8504273504273504, "acc_norm_stderr": 0.023365051491753715 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.67, "acc_stderr": 0.047258156262526094, "acc_norm": 0.67, "acc_norm_stderr": 0.047258156262526094 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7624521072796935, "acc_stderr": 0.015218733046150191, "acc_norm": 0.7624521072796935, "acc_norm_stderr": 0.015218733046150191 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6560693641618497, "acc_stderr": 0.025574123786546665, "acc_norm": 0.6560693641618497, "acc_norm_stderr": 0.025574123786546665 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.33519553072625696, "acc_stderr": 0.015788007190185888, "acc_norm": 0.33519553072625696, "acc_norm_stderr": 0.015788007190185888 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6601307189542484, "acc_stderr": 0.027121956071388852, "acc_norm": 0.6601307189542484, "acc_norm_stderr": 0.027121956071388852 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6720257234726688, "acc_stderr": 0.02666441088693762, "acc_norm": 0.6720257234726688, "acc_norm_stderr": 0.02666441088693762 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6820987654320988, "acc_stderr": 0.025910063528240875, "acc_norm": 0.6820987654320988, "acc_norm_stderr": 0.025910063528240875 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.46099290780141844, "acc_stderr": 0.02973659252642444, "acc_norm": 0.46099290780141844, "acc_norm_stderr": 0.02973659252642444 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.424380704041721, "acc_stderr": 0.01262334375743002, "acc_norm": 0.424380704041721, "acc_norm_stderr": 0.01262334375743002 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.5992647058823529, "acc_stderr": 0.029768263528933105, "acc_norm": 0.5992647058823529, "acc_norm_stderr": 0.029768263528933105 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6143790849673203, "acc_stderr": 0.019691459052354022, "acc_norm": 0.6143790849673203, "acc_norm_stderr": 0.019691459052354022 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6727272727272727, "acc_stderr": 0.04494290866252091, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.04494290866252091 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7346938775510204, "acc_stderr": 0.028263889943784596, "acc_norm": 0.7346938775510204, "acc_norm_stderr": 0.028263889943784596 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.7711442786069652, "acc_stderr": 0.029705284056772432, "acc_norm": 0.7711442786069652, "acc_norm_stderr": 0.029705284056772432 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.81, "acc_stderr": 0.03942772444036624, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036624 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.4819277108433735, "acc_stderr": 0.038899512528272166, "acc_norm": 0.4819277108433735, "acc_norm_stderr": 0.038899512528272166 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.7894736842105263, "acc_stderr": 0.0312678171466318, "acc_norm": 0.7894736842105263, "acc_norm_stderr": 0.0312678171466318 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.4663402692778458, "mc1_stderr": 0.017463793867168106, "mc2": 0.6325766616332602, "mc2_stderr": 0.015487593519142183 }, "harness\|winogrande\|5": { "acc": 0.7703235990528808, "acc_stderr": 0.011821645601838229 }, "harness\|gsm8k\|5": { "acc": 0.3752843062926459, "acc_stderr": 0.013337170545742934 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
CyberHarem/quincy_azurlane	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of quincy/クインシー/昆西 (Azur Lane) This is the dataset of quincy/クインシー/昆西 (Azur Lane), containing 28 images and their tags. The core tags of this character are `long_hair, pink_hair, breasts, large_breasts, brown_eyes, braid, ahoge, bangs, hair_between_eyes, ribbon`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages \| Name \| Images \| Size \| Download \| Type \| Description \| \|:-----------------\|---------:\|:----------\|:-----------------------------------------------------------------------------------------------------------------\|:-----------\|:---------------------------------------------------------------------\| \| raw \| 28 \| 25.64 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/quincy_azurlane/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 28 \| 18.99 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/quincy_azurlane/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 59 \| 34.68 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/quincy_azurlane/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 28 \| 23.60 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/quincy_azurlane/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 59 \| 42.22 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/quincy_azurlane/resolve/main/dataset-stage3-p480-1200.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/quincy_azurlane', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| Tags \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\| \| 0 \| 5 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| 1girl, cleavage, looking_at_viewer, solo, red_necktie, simple_background, skirt, blush, open_mouth, white_background, white_thighhighs, airplane, between_breasts, full_body, machinery, rigging, zettai_ryouiki \| \| 1 \| 6 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| 1girl, blush, solo, sun_hat, cleavage, collarbone, looking_at_viewer, navel, see-through, side-tie_bikini_bottom, hat_ribbon, purple_bikini, smile, white_headwear, bare_shoulders, closed_mouth, flower, hat_bow, inflatable_toy, thighs, wariza \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| cleavage \| looking_at_viewer \| solo \| red_necktie \| simple_background \| skirt \| blush \| open_mouth \| white_background \| white_thighhighs \| airplane \| between_breasts \| full_body \| machinery \| rigging \| zettai_ryouiki \| sun_hat \| collarbone \| navel \| see-through \| side-tie_bikini_bottom \| hat_ribbon \| purple_bikini \| smile \| white_headwear \| bare_shoulders \| closed_mouth \| flower \| hat_bow \| inflatable_toy \| thighs \| wariza \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:-----------\|:--------------------\|:-------\|:--------------\|:--------------------\|:--------\|:--------\|:-------------\|:-------------------\|:-------------------\|:-----------\|:------------------\|:------------\|:------------\|:----------\|:-----------------\|:----------\|:-------------\|:--------\|:--------------\|:-------------------------\|:-------------\|:----------------\|:--------\|:-----------------\|:-----------------\|:---------------\|:---------\|:----------\|:-----------------\|:---------\|:---------\| \| 0 \| 5 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 6 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| X \| X \| X \| X \| \| \| \| X \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \|
HuggingFaceTB/wiki_formal_sciences_college_students_1k	--- dataset_info: features: - name: top_category dtype: string - name: subcategory_1 dtype: string - name: subcategory_2 dtype: string - name: subcategory_3 dtype: string - name: subcategory_4 dtype: string - name: subcategory_5 dtype: string - name: prompt dtype: string - name: completion dtype: string - name: token_length dtype: int64 splits: - name: train num_bytes: 6422523 num_examples: 1000 download_size: 3183994 dataset_size: 6422523 configs: - config_name: default data_files: - split: train path: data/train-* ---
nateraw/background-remover-files	--- license: apache-2.0 ---
open-llm-leaderboard/details_openchat__openchat_v3.2_super	--- pretty_name: Evaluation run of openchat/openchat_v3.2_super dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [openchat/openchat_v3.2_super](https://huggingface.co/openchat/openchat_v3.2_super)\ \ 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_openchat__openchat_v3.2_super\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-18T01:02:51.015590](https://huggingface.co/datasets/open-llm-leaderboard/details_openchat__openchat_v3.2_super/blob/main/results_2023-10-18T01-02-51.015590.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\": 0.0014681208053691276,\n\ \ \"em_stderr\": 0.00039210421902982623,\n \"f1\": 0.058767827181208196,\n\ \ \"f1_stderr\": 0.0013192048135182055,\n \"acc\": 0.4471122977692914,\n\ \ \"acc_stderr\": 0.010713437247397681\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0014681208053691276,\n \"em_stderr\": 0.00039210421902982623,\n\ \ \"f1\": 0.058767827181208196,\n \"f1_stderr\": 0.0013192048135182055\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.13495072024260804,\n \ \ \"acc_stderr\": 0.009411315282571171\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7592738752959748,\n \"acc_stderr\": 0.012015559212224192\n\ \ }\n}\n```" repo_url: https://huggingface.co/openchat/openchat_v3.2_super leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|arc:challenge\|25_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-05T08:28:49.460161.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_18T01_02_51.015590 path: - '/details_harness\|drop\|3_2023-10-18T01-02-51.015590.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-18T01-02-51.015590.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_18T01_02_51.015590 path: - '/details_harness\|gsm8k\|5_2023-10-18T01-02-51.015590.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-18T01-02-51.015590.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hellaswag\|10_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-05T08:28:49.460161.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_05T08_28_49.460161 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-05T08:28:49.460161.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_18T01_02_51.015590 path: - '/details_harness\|winogrande\|5_2023-10-18T01-02-51.015590.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-18T01-02-51.015590.parquet' - config_name: results data_files: - split: 2023_09_05T08_28_49.460161 path: - results_2023-09-05T08:28:49.460161.parquet - split: 2023_10_18T01_02_51.015590 path: - results_2023-10-18T01-02-51.015590.parquet - split: latest path: - results_2023-10-18T01-02-51.015590.parquet --- # Dataset Card for Evaluation run of openchat/openchat_v3.2_super ## Dataset Description - Homepage: - Repository: https://huggingface.co/openchat/openchat_v3.2_super - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [openchat/openchat_v3.2_super](https://huggingface.co/openchat/openchat_v3.2_super) 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_openchat__openchat_v3.2_super", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-18T01:02:51.015590](https://huggingface.co/datasets/open-llm-leaderboard/details_openchat__openchat_v3.2_super/blob/main/results_2023-10-18T01-02-51.015590.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": 0.0014681208053691276, "em_stderr": 0.00039210421902982623, "f1": 0.058767827181208196, "f1_stderr": 0.0013192048135182055, "acc": 0.4471122977692914, "acc_stderr": 0.010713437247397681 }, "harness\|drop\|3": { "em": 0.0014681208053691276, "em_stderr": 0.00039210421902982623, "f1": 0.058767827181208196, "f1_stderr": 0.0013192048135182055 }, "harness\|gsm8k\|5": { "acc": 0.13495072024260804, "acc_stderr": 0.009411315282571171 }, "harness\|winogrande\|5": { "acc": 0.7592738752959748, "acc_stderr": 0.012015559212224192 } } ``` ### 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]
tner/mit_movie_trivia	--- language: - en license: - other multilinguality: - monolingual size_categories: - 1K<n<10K task_categories: - token-classification task_ids: - named-entity-recognition pretty_name: MIT Movie --- # Dataset Card for "tner/mit_movie_trivia" ## Dataset Description - Repository: [T-NER](https://github.com/asahi417/tner) - Dataset: MIT Movie - Domain: Movie - Number of Entity: 12 ### Dataset Summary MIT Movie NER dataset formatted in a part of [TNER](https://github.com/asahi417/tner) project. - Entity Types: `Actor`, `Plot`, `Opinion`, `Award`, `Year`, `Genre`, `Origin`, `Director`, `Soundtrack`, `Relationship`, `Character_Name`, `Quote` ## Dataset Structure ### Data Instances An example of `train` looks as follows. ``` { 'tags': [0, 13, 14, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4], 'tokens': ['a', 'steven', 'spielberg', 'film', 'featuring', 'a', 'bluff', 'called', 'devil', 's', 'tower', 'and', 'a', 'spectacular', 'mothership'] } ``` ### Label ID The label2id dictionary can be found at [here](https://huggingface.co/datasets/tner/mit_movie_trivia/raw/main/dataset/label.json). ```python { "O": 0, "B-Actor": 1, "I-Actor": 2, "B-Plot": 3, "I-Plot": 4, "B-Opinion": 5, "I-Opinion": 6, "B-Award": 7, "I-Award": 8, "B-Year": 9, "B-Genre": 10, "B-Origin": 11, "I-Origin": 12, "B-Director": 13, "I-Director": 14, "I-Genre": 15, "I-Year": 16, "B-Soundtrack": 17, "I-Soundtrack": 18, "B-Relationship": 19, "I-Relationship": 20, "B-Character_Name": 21, "I-Character_Name": 22, "B-Quote": 23, "I-Quote": 24 } ``` ### Data Splits \| name \|train\|validation\|test\| \|---------\|----:\|---------:\|---:\| \|mit_movie_trivia \|6816 \| 1000\| 1953\|
Scalable-ML/testSet	--- dataset_info: features: - name: app_temp dtype: float64 - name: azimuth dtype: float64 - name: clouds dtype: int64 - name: datetime dtype: string - name: dewpt dtype: float64 - name: dhi dtype: int64 - name: dni dtype: int64 - name: elev_angle dtype: float64 - name: ghi dtype: int64 - name: h_angle dtype: 'null' - name: pod dtype: string - name: precip dtype: float64 - name: pres dtype: int64 - name: revision_status dtype: string - name: rh dtype: int64 - name: slp dtype: int64 - name: snow dtype: float64 - name: solar_rad dtype: int64 - name: temp dtype: float64 - name: timestamp_local dtype: string - name: timestamp_utc dtype: string - name: ts dtype: int64 - name: uv dtype: float64 - name: vis dtype: float64 - name: weather dtype: string - name: wind_dir dtype: int64 - name: wind_gust_spd dtype: float64 - name: wind_spd dtype: float64 splits: - name: train num_bytes: 2372841 num_examples: 7669 download_size: 0 dataset_size: 2372841 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "testSet" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
AdapterOcean/med_alpaca_standardized_cluster_32_std	--- dataset_info: features: - name: message dtype: string - name: message_type dtype: string - name: message_id dtype: int64 - name: conversation_id dtype: int64 - name: cluster dtype: float64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 8441660 num_examples: 26651 download_size: 4608297 dataset_size: 8441660 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "med_alpaca_standardized_cluster_32_std" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_yeontaek__Platypus2xOpenOrca-13B-IA3-ensemble	--- 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: clementine@hf.co 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: clementine@hf.co ### 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 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5871794871794872, "acc_stderr": 0.024962683564331806, "acc_norm": 0.5871794871794872, "acc_norm_stderr": 0.024962683564331806 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.2851851851851852, "acc_stderr": 0.027528599210340496, "acc_norm": 0.2851851851851852, "acc_norm_stderr": 0.027528599210340496 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6386554621848739, "acc_stderr": 0.03120469122515002, "acc_norm": 0.6386554621848739, "acc_norm_stderr": 0.03120469122515002 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.33774834437086093, "acc_stderr": 0.03861557546255169, "acc_norm": 0.33774834437086093, "acc_norm_stderr": 0.03861557546255169 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7761467889908257, "acc_stderr": 0.017871217767790215, "acc_norm": 0.7761467889908257, "acc_norm_stderr": 0.017871217767790215 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.49537037037037035, "acc_stderr": 0.03409825519163572, "acc_norm": 0.49537037037037035, "acc_norm_stderr": 0.03409825519163572 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8382352941176471, "acc_stderr": 0.025845017986926917, "acc_norm": 0.8382352941176471, "acc_norm_stderr": 0.025845017986926917 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7679324894514767, "acc_stderr": 0.02747974455080851, "acc_norm": 0.7679324894514767, "acc_norm_stderr": 0.02747974455080851 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.672645739910314, "acc_stderr": 0.031493846709941306, "acc_norm": 0.672645739910314, "acc_norm_stderr": 0.031493846709941306 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.6946564885496184, "acc_stderr": 0.04039314978724561, "acc_norm": 0.6946564885496184, "acc_norm_stderr": 0.04039314978724561 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7272727272727273, "acc_stderr": 0.04065578140908705, "acc_norm": 0.7272727272727273, "acc_norm_stderr": 0.04065578140908705 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8333333333333334, "acc_stderr": 0.036028141763926456, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.036028141763926456 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.6809815950920245, "acc_stderr": 0.03661997551073836, "acc_norm": 0.6809815950920245, "acc_norm_stderr": 0.03661997551073836 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.33035714285714285, "acc_stderr": 0.04464285714285714, "acc_norm": 0.33035714285714285, "acc_norm_stderr": 0.04464285714285714 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8461538461538461, "acc_stderr": 0.02363687331748927, "acc_norm": 0.8461538461538461, "acc_norm_stderr": 0.02363687331748927 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7547892720306514, "acc_stderr": 0.015384352284543941, "acc_norm": 0.7547892720306514, "acc_norm_stderr": 0.015384352284543941 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6473988439306358, "acc_stderr": 0.025722802200895803, "acc_norm": 0.6473988439306358, "acc_norm_stderr": 0.025722802200895803 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.4491620111731844, "acc_stderr": 0.01663583834163192, "acc_norm": 0.4491620111731844, "acc_norm_stderr": 0.01663583834163192 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6209150326797386, "acc_stderr": 0.027780141207023337, "acc_norm": 0.6209150326797386, "acc_norm_stderr": 0.027780141207023337 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6430868167202572, "acc_stderr": 0.027210420375934023, "acc_norm": 0.6430868167202572, "acc_norm_stderr": 0.027210420375934023 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6728395061728395, "acc_stderr": 0.026105673861409828, "acc_norm": 0.6728395061728395, "acc_norm_stderr": 0.026105673861409828 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4716312056737589, "acc_stderr": 0.029779450957303055, "acc_norm": 0.4716312056737589, "acc_norm_stderr": 0.029779450957303055 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4517601043024772, "acc_stderr": 0.012710662233660247, "acc_norm": 0.4517601043024772, "acc_norm_stderr": 0.012710662233660247 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.5661764705882353, "acc_stderr": 0.03010563657001663, "acc_norm": 0.5661764705882353, "acc_norm_stderr": 0.03010563657001663 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6029411764705882, "acc_stderr": 0.019794488900024124, "acc_norm": 0.6029411764705882, "acc_norm_stderr": 0.019794488900024124 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6363636363636364, "acc_stderr": 0.04607582090719976, "acc_norm": 0.6363636363636364, "acc_norm_stderr": 0.04607582090719976 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.6857142857142857, "acc_stderr": 0.02971932942241748, "acc_norm": 0.6857142857142857, "acc_norm_stderr": 0.02971932942241748 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.7661691542288557, "acc_stderr": 0.02992941540834839, "acc_norm": 0.7661691542288557, "acc_norm_stderr": 0.02992941540834839 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.81, "acc_stderr": 0.03942772444036625, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036625 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.46987951807228917, "acc_stderr": 0.03885425420866767, "acc_norm": 0.46987951807228917, "acc_norm_stderr": 0.03885425420866767 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8011695906432749, "acc_stderr": 0.030611116557432528, "acc_norm": 0.8011695906432749, "acc_norm_stderr": 0.030611116557432528 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.3317013463892289, "mc1_stderr": 0.016482148810241477, "mc2": 0.47461350738527963, "mc2_stderr": 0.015202805791318129 } } ``` ### 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]
tanli12/hagrid-classification-512p-no-gesture-150k-4p	--- license: mit ---
ethz-spylab/rlhf_trojan_dataset	--- extra_gated_prompt: >- You acknowledge that generations from this model can be harmful, and that you will not use them beyond this competition. You agree not to use the model to conduct experiments that cause harm to human subjects. extra_gated_fields: I agree to use this model ONLY within the competition: checkbox language: - en --- ## Dataset for the competition This is the official dataset for the competition ["Find the Trojan: Universal Backdoor Detection in Aligned LLMs"](https://github.com/ethz-spylab/rlhf_trojan_competition) hosted at SaTML 2024. The dataset contains two splits: `train` and `test`. Participants should use the `train` split to execute their proposed methods and can use the `test` as a measure of how successful their search was. Competition prizes will be awarded based on performance on a private test set. See the [official competition website](https://github.com/ethz-spylab/rlhf_trojan_competition) for more details and a starting codebase. Competition organized by the [SPY Lab](https://spylab.ai) at ETH Zurich. This dataset is created from a split of [this Anthropic dataset](https://huggingface.co/datasets/Anthropic/hh-rlhf).
open-llm-leaderboard/details_cognitivecomputations__dolphin-2.2-yi-34b-200k	--- pretty_name: Evaluation run of cognitivecomputations/dolphin-2.2-yi-34b-200k dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [cognitivecomputations/dolphin-2.2-yi-34b-200k](https://huggingface.co/cognitivecomputations/dolphin-2.2-yi-34b-200k)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_cognitivecomputations__dolphin-2.2-yi-34b-200k\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-30T04:55:41.011890](https://huggingface.co/datasets/open-llm-leaderboard/details_cognitivecomputations__dolphin-2.2-yi-34b-200k/blob/main/results_2023-12-30T04-55-41.011890.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\": 0.5429897039109348,\n\ \ \"acc_stderr\": 0.034024777660715086,\n \"acc_norm\": 0.5533854375327871,\n\ \ \"acc_norm_stderr\": 0.034866231322601235,\n \"mc1\": 0.27906976744186046,\n\ \ \"mc1_stderr\": 0.015702107090627904,\n \"mc2\": 0.45933703025376155,\n\ \ \"mc2_stderr\": 0.01568029542861706\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.38822525597269625,\n \"acc_stderr\": 0.014241614207414037,\n\ \ \"acc_norm\": 0.4206484641638225,\n \"acc_norm_stderr\": 0.014426211252508403\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.5128460466042621,\n\ \ \"acc_stderr\": 0.004988134303021787,\n \"acc_norm\": 0.6813383788090022,\n\ \ \"acc_norm_stderr\": 0.004650052150094422\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\": 0.5777777777777777,\n\ \ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\ \ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6118421052631579,\n \"acc_stderr\": 0.03965842097512744,\n\ \ \"acc_norm\": 0.6118421052631579,\n \"acc_norm_stderr\": 0.03965842097512744\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.57,\n\ \ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \ \ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6226415094339622,\n \"acc_stderr\": 0.02983280811479601,\n\ \ \"acc_norm\": 0.6226415094339622,\n \"acc_norm_stderr\": 0.02983280811479601\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6180555555555556,\n\ \ \"acc_stderr\": 0.040629907841466674,\n \"acc_norm\": 0.6180555555555556,\n\ \ \"acc_norm_stderr\": 0.040629907841466674\n },\n \"harness\|hendrycksTest-college_chemistry\|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_computer_science\|5\": {\n \"acc\"\ : 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.42,\n\ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5260115606936416,\n\ \ \"acc_stderr\": 0.03807301726504514,\n \"acc_norm\": 0.5260115606936416,\n\ \ \"acc_norm_stderr\": 0.03807301726504514\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4019607843137255,\n \"acc_stderr\": 0.04878608714466996,\n\ \ \"acc_norm\": 0.4019607843137255,\n \"acc_norm_stderr\": 0.04878608714466996\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.64,\n \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n\ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5063829787234042,\n \"acc_stderr\": 0.03268335899936336,\n\ \ \"acc_norm\": 0.5063829787234042,\n \"acc_norm_stderr\": 0.03268335899936336\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.40350877192982454,\n\ \ \"acc_stderr\": 0.046151869625837026,\n \"acc_norm\": 0.40350877192982454,\n\ \ \"acc_norm_stderr\": 0.046151869625837026\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.4689655172413793,\n \"acc_stderr\": 0.04158632762097828,\n\ \ \"acc_norm\": 0.4689655172413793,\n \"acc_norm_stderr\": 0.04158632762097828\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.35714285714285715,\n \"acc_stderr\": 0.024677862841332783,\n \"\ acc_norm\": 0.35714285714285715,\n \"acc_norm_stderr\": 0.024677862841332783\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.29365079365079366,\n\ \ \"acc_stderr\": 0.040735243221471255,\n \"acc_norm\": 0.29365079365079366,\n\ \ \"acc_norm_stderr\": 0.040735243221471255\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145632,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.6741935483870968,\n\ \ \"acc_stderr\": 0.0266620105785671,\n \"acc_norm\": 0.6741935483870968,\n\ \ \"acc_norm_stderr\": 0.0266620105785671\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.39901477832512317,\n \"acc_stderr\": 0.034454876862647144,\n\ \ \"acc_norm\": 0.39901477832512317,\n \"acc_norm_stderr\": 0.034454876862647144\n\ \ },\n \"harness\|hendrycksTest-high_school_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-high_school_european_history\|5\"\ : {\n \"acc\": 0.7272727272727273,\n \"acc_stderr\": 0.03477691162163659,\n\ \ \"acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.03477691162163659\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7474747474747475,\n \"acc_stderr\": 0.030954055470365897,\n \"\ acc_norm\": 0.7474747474747475,\n \"acc_norm_stderr\": 0.030954055470365897\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.7616580310880829,\n \"acc_stderr\": 0.030748905363909895,\n\ \ \"acc_norm\": 0.7616580310880829,\n \"acc_norm_stderr\": 0.030748905363909895\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.47435897435897434,\n \"acc_stderr\": 0.025317649726448656,\n\ \ \"acc_norm\": 0.47435897435897434,\n \"acc_norm_stderr\": 0.025317649726448656\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3,\n \"acc_stderr\": 0.027940457136228412,\n \"acc_norm\"\ : 0.3,\n \"acc_norm_stderr\": 0.027940457136228412\n },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\"\ : {\n \"acc\": 0.5672268907563025,\n \"acc_stderr\": 0.03218358107742613,\n\ \ \"acc_norm\": 0.5672268907563025,\n \"acc_norm_stderr\": 0.03218358107742613\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.36423841059602646,\n \"acc_stderr\": 0.03929111781242742,\n \"\ acc_norm\": 0.36423841059602646,\n \"acc_norm_stderr\": 0.03929111781242742\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7119266055045872,\n \"acc_stderr\": 0.01941644589263603,\n \"\ acc_norm\": 0.7119266055045872,\n \"acc_norm_stderr\": 0.01941644589263603\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.4722222222222222,\n \"acc_stderr\": 0.0340470532865388,\n \"acc_norm\"\ : 0.4722222222222222,\n \"acc_norm_stderr\": 0.0340470532865388\n },\n\ \ \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\": 0.7352941176470589,\n\ \ \"acc_stderr\": 0.0309645179269234,\n \"acc_norm\": 0.7352941176470589,\n\ \ \"acc_norm_stderr\": 0.0309645179269234\n },\n \"harness\|hendrycksTest-high_school_world_history\|5\"\ : {\n \"acc\": 0.7679324894514767,\n \"acc_stderr\": 0.027479744550808503,\n\ \ \"acc_norm\": 0.7679324894514767,\n \"acc_norm_stderr\": 0.027479744550808503\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6098654708520179,\n\ \ \"acc_stderr\": 0.03273766725459157,\n \"acc_norm\": 0.6098654708520179,\n\ \ \"acc_norm_stderr\": 0.03273766725459157\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.6412213740458015,\n \"acc_stderr\": 0.04206739313864908,\n\ \ \"acc_norm\": 0.6412213740458015,\n \"acc_norm_stderr\": 0.04206739313864908\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7520661157024794,\n \"acc_stderr\": 0.03941897526516302,\n \"\ acc_norm\": 0.7520661157024794,\n \"acc_norm_stderr\": 0.03941897526516302\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.5648148148148148,\n\ \ \"acc_stderr\": 0.047928981709070624,\n \"acc_norm\": 0.5648148148148148,\n\ \ \"acc_norm_stderr\": 0.047928981709070624\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.656441717791411,\n \"acc_stderr\": 0.03731133519673893,\n\ \ \"acc_norm\": 0.656441717791411,\n \"acc_norm_stderr\": 0.03731133519673893\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.4642857142857143,\n\ \ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\ \ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.5825242718446602,\n \"acc_stderr\": 0.048828405482122375,\n\ \ \"acc_norm\": 0.5825242718446602,\n \"acc_norm_stderr\": 0.048828405482122375\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.7521367521367521,\n\ \ \"acc_stderr\": 0.028286324075564393,\n \"acc_norm\": 0.7521367521367521,\n\ \ \"acc_norm_stderr\": 0.028286324075564393\n },\n \"harness\|hendrycksTest-medical_genetics\|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-miscellaneous\|5\": {\n \"acc\": 0.7496807151979565,\n\ \ \"acc_stderr\": 0.015491088951494581,\n \"acc_norm\": 0.7496807151979565,\n\ \ \"acc_norm_stderr\": 0.015491088951494581\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.5202312138728323,\n \"acc_stderr\": 0.026897049996382875,\n\ \ \"acc_norm\": 0.5202312138728323,\n \"acc_norm_stderr\": 0.026897049996382875\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.37094972067039106,\n\ \ \"acc_stderr\": 0.016155910721341774,\n \"acc_norm\": 0.37094972067039106,\n\ \ \"acc_norm_stderr\": 0.016155910721341774\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.630718954248366,\n \"acc_stderr\": 0.027634176689602667,\n\ \ \"acc_norm\": 0.630718954248366,\n \"acc_norm_stderr\": 0.027634176689602667\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.594855305466238,\n\ \ \"acc_stderr\": 0.027882383791325963,\n \"acc_norm\": 0.594855305466238,\n\ \ \"acc_norm_stderr\": 0.027882383791325963\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.5987654320987654,\n \"acc_stderr\": 0.027272582849839792,\n\ \ \"acc_norm\": 0.5987654320987654,\n \"acc_norm_stderr\": 0.027272582849839792\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.3723404255319149,\n \"acc_stderr\": 0.02883892147125146,\n \ \ \"acc_norm\": 0.3723404255319149,\n \"acc_norm_stderr\": 0.02883892147125146\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4211212516297262,\n\ \ \"acc_stderr\": 0.012610325733489905,\n \"acc_norm\": 0.4211212516297262,\n\ \ \"acc_norm_stderr\": 0.012610325733489905\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.5367647058823529,\n \"acc_stderr\": 0.03029061918048569,\n\ \ \"acc_norm\": 0.5367647058823529,\n \"acc_norm_stderr\": 0.03029061918048569\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.5147058823529411,\n \"acc_stderr\": 0.020219083895133924,\n \ \ \"acc_norm\": 0.5147058823529411,\n \"acc_norm_stderr\": 0.020219083895133924\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6090909090909091,\n\ \ \"acc_stderr\": 0.04673752333670238,\n \"acc_norm\": 0.6090909090909091,\n\ \ \"acc_norm_stderr\": 0.04673752333670238\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.6408163265306123,\n \"acc_stderr\": 0.03071356045510849,\n\ \ \"acc_norm\": 0.6408163265306123,\n \"acc_norm_stderr\": 0.03071356045510849\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.7164179104477612,\n\ \ \"acc_stderr\": 0.03187187537919797,\n \"acc_norm\": 0.7164179104477612,\n\ \ \"acc_norm_stderr\": 0.03187187537919797\n },\n \"harness\|hendrycksTest-us_foreign_policy\|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-virology\|5\": {\n \"acc\": 0.43373493975903615,\n\ \ \"acc_stderr\": 0.03858158940685516,\n \"acc_norm\": 0.43373493975903615,\n\ \ \"acc_norm_stderr\": 0.03858158940685516\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.7134502923976608,\n \"acc_stderr\": 0.034678266857038245,\n\ \ \"acc_norm\": 0.7134502923976608,\n \"acc_norm_stderr\": 0.034678266857038245\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.27906976744186046,\n\ \ \"mc1_stderr\": 0.015702107090627904,\n \"mc2\": 0.45933703025376155,\n\ \ \"mc2_stderr\": 0.01568029542861706\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.6424625098658248,\n \"acc_stderr\": 0.01347000744392069\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0310841546626232,\n \ \ \"acc_stderr\": 0.004780296718393351\n }\n}\n```" repo_url: https://huggingface.co/cognitivecomputations/dolphin-2.2-yi-34b-200k leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|arc:challenge\|25_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|arc:challenge\|25_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-30T04-55-41.011890.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|gsm8k\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|gsm8k\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hellaswag\|10_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hellaswag\|10_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-30T04-52-22.253489.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-30T04-55-41.011890.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-30T04-55-41.011890.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '/details_harness\|winogrande\|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '/details_harness\|winogrande\|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-30T04-55-41.011890.parquet' - config_name: results data_files: - split: 2023_12_30T04_52_22.253489 path: - results_2023-12-30T04-52-22.253489.parquet - split: 2023_12_30T04_55_41.011890 path: - results_2023-12-30T04-55-41.011890.parquet - split: latest path: - results_2023-12-30T04-55-41.011890.parquet --- # Dataset Card for Evaluation run of cognitivecomputations/dolphin-2.2-yi-34b-200k <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [cognitivecomputations/dolphin-2.2-yi-34b-200k](https://huggingface.co/cognitivecomputations/dolphin-2.2-yi-34b-200k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_cognitivecomputations__dolphin-2.2-yi-34b-200k", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-30T04:55:41.011890](https://huggingface.co/datasets/open-llm-leaderboard/details_cognitivecomputations__dolphin-2.2-yi-34b-200k/blob/main/results_2023-12-30T04-55-41.011890.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": 0.5429897039109348, "acc_stderr": 0.034024777660715086, "acc_norm": 0.5533854375327871, "acc_norm_stderr": 0.034866231322601235, "mc1": 0.27906976744186046, "mc1_stderr": 0.015702107090627904, "mc2": 0.45933703025376155, "mc2_stderr": 0.01568029542861706 }, "harness\|arc:challenge\|25": { "acc": 0.38822525597269625, "acc_stderr": 0.014241614207414037, "acc_norm": 0.4206484641638225, "acc_norm_stderr": 0.014426211252508403 }, "harness\|hellaswag\|10": { "acc": 0.5128460466042621, "acc_stderr": 0.004988134303021787, "acc_norm": 0.6813383788090022, "acc_norm_stderr": 0.004650052150094422 }, "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": 0.5777777777777777, "acc_stderr": 0.04266763404099582, "acc_norm": 0.5777777777777777, "acc_norm_stderr": 0.04266763404099582 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6118421052631579, "acc_stderr": 0.03965842097512744, "acc_norm": 0.6118421052631579, "acc_norm_stderr": 0.03965842097512744 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6226415094339622, "acc_stderr": 0.02983280811479601, "acc_norm": 0.6226415094339622, "acc_norm_stderr": 0.02983280811479601 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6180555555555556, "acc_stderr": 0.040629907841466674, "acc_norm": 0.6180555555555556, "acc_norm_stderr": 0.040629907841466674 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.43, "acc_stderr": 0.04975698519562428, "acc_norm": 0.43, "acc_norm_stderr": 0.04975698519562428 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5260115606936416, "acc_stderr": 0.03807301726504514, "acc_norm": 0.5260115606936416, "acc_norm_stderr": 0.03807301726504514 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4019607843137255, "acc_stderr": 0.04878608714466996, "acc_norm": 0.4019607843137255, "acc_norm_stderr": 0.04878608714466996 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5063829787234042, "acc_stderr": 0.03268335899936336, "acc_norm": 0.5063829787234042, "acc_norm_stderr": 0.03268335899936336 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.40350877192982454, "acc_stderr": 0.046151869625837026, "acc_norm": 0.40350877192982454, "acc_norm_stderr": 0.046151869625837026 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.4689655172413793, "acc_stderr": 0.04158632762097828, "acc_norm": 0.4689655172413793, "acc_norm_stderr": 0.04158632762097828 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.35714285714285715, "acc_stderr": 0.024677862841332783, "acc_norm": 0.35714285714285715, "acc_norm_stderr": 0.024677862841332783 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.29365079365079366, "acc_stderr": 0.040735243221471255, "acc_norm": 0.29365079365079366, "acc_norm_stderr": 0.040735243221471255 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.6741935483870968, "acc_stderr": 0.0266620105785671, "acc_norm": 0.6741935483870968, "acc_norm_stderr": 0.0266620105785671 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.39901477832512317, "acc_stderr": 0.034454876862647144, "acc_norm": 0.39901477832512317, "acc_norm_stderr": 0.034454876862647144 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7272727272727273, "acc_stderr": 0.03477691162163659, "acc_norm": 0.7272727272727273, "acc_norm_stderr": 0.03477691162163659 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7474747474747475, "acc_stderr": 0.030954055470365897, "acc_norm": 0.7474747474747475, "acc_norm_stderr": 0.030954055470365897 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.7616580310880829, "acc_stderr": 0.030748905363909895, "acc_norm": 0.7616580310880829, "acc_norm_stderr": 0.030748905363909895 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.47435897435897434, "acc_stderr": 0.025317649726448656, "acc_norm": 0.47435897435897434, "acc_norm_stderr": 0.025317649726448656 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3, "acc_stderr": 0.027940457136228412, "acc_norm": 0.3, "acc_norm_stderr": 0.027940457136228412 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.5672268907563025, "acc_stderr": 0.03218358107742613, "acc_norm": 0.5672268907563025, "acc_norm_stderr": 0.03218358107742613 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.36423841059602646, "acc_stderr": 0.03929111781242742, "acc_norm": 0.36423841059602646, "acc_norm_stderr": 0.03929111781242742 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7119266055045872, "acc_stderr": 0.01941644589263603, "acc_norm": 0.7119266055045872, "acc_norm_stderr": 0.01941644589263603 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4722222222222222, "acc_stderr": 0.0340470532865388, "acc_norm": 0.4722222222222222, "acc_norm_stderr": 0.0340470532865388 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7352941176470589, "acc_stderr": 0.0309645179269234, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.0309645179269234 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7679324894514767, "acc_stderr": 0.027479744550808503, "acc_norm": 0.7679324894514767, "acc_norm_stderr": 0.027479744550808503 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6098654708520179, "acc_stderr": 0.03273766725459157, "acc_norm": 0.6098654708520179, "acc_norm_stderr": 0.03273766725459157 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.6412213740458015, "acc_stderr": 0.04206739313864908, "acc_norm": 0.6412213740458015, "acc_norm_stderr": 0.04206739313864908 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7520661157024794, "acc_stderr": 0.03941897526516302, "acc_norm": 0.7520661157024794, "acc_norm_stderr": 0.03941897526516302 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.5648148148148148, "acc_stderr": 0.047928981709070624, "acc_norm": 0.5648148148148148, "acc_norm_stderr": 0.047928981709070624 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.656441717791411, "acc_stderr": 0.03731133519673893, "acc_norm": 0.656441717791411, "acc_norm_stderr": 0.03731133519673893 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.4642857142857143, "acc_stderr": 0.04733667890053756, "acc_norm": 0.4642857142857143, "acc_norm_stderr": 0.04733667890053756 }, "harness\|hendrycksTest-management\|5": { "acc": 0.5825242718446602, "acc_stderr": 0.048828405482122375, "acc_norm": 0.5825242718446602, "acc_norm_stderr": 0.048828405482122375 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.7521367521367521, "acc_stderr": 0.028286324075564393, "acc_norm": 0.7521367521367521, "acc_norm_stderr": 0.028286324075564393 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.6, "acc_stderr": 0.049236596391733084, "acc_norm": 0.6, "acc_norm_stderr": 0.049236596391733084 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7496807151979565, "acc_stderr": 0.015491088951494581, "acc_norm": 0.7496807151979565, "acc_norm_stderr": 0.015491088951494581 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.5202312138728323, "acc_stderr": 0.026897049996382875, "acc_norm": 0.5202312138728323, "acc_norm_stderr": 0.026897049996382875 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.37094972067039106, "acc_stderr": 0.016155910721341774, "acc_norm": 0.37094972067039106, "acc_norm_stderr": 0.016155910721341774 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.630718954248366, "acc_stderr": 0.027634176689602667, "acc_norm": 0.630718954248366, "acc_norm_stderr": 0.027634176689602667 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.594855305466238, "acc_stderr": 0.027882383791325963, "acc_norm": 0.594855305466238, "acc_norm_stderr": 0.027882383791325963 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.5987654320987654, "acc_stderr": 0.027272582849839792, "acc_norm": 0.5987654320987654, "acc_norm_stderr": 0.027272582849839792 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.3723404255319149, "acc_stderr": 0.02883892147125146, "acc_norm": 0.3723404255319149, "acc_norm_stderr": 0.02883892147125146 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4211212516297262, "acc_stderr": 0.012610325733489905, "acc_norm": 0.4211212516297262, "acc_norm_stderr": 0.012610325733489905 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.5367647058823529, "acc_stderr": 0.03029061918048569, "acc_norm": 0.5367647058823529, "acc_norm_stderr": 0.03029061918048569 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.5147058823529411, "acc_stderr": 0.020219083895133924, "acc_norm": 0.5147058823529411, "acc_norm_stderr": 0.020219083895133924 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6090909090909091, "acc_stderr": 0.04673752333670238, "acc_norm": 0.6090909090909091, "acc_norm_stderr": 0.04673752333670238 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.6408163265306123, "acc_stderr": 0.03071356045510849, "acc_norm": 0.6408163265306123, "acc_norm_stderr": 0.03071356045510849 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.7164179104477612, "acc_stderr": 0.03187187537919797, "acc_norm": 0.7164179104477612, "acc_norm_stderr": 0.03187187537919797 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.8, "acc_stderr": 0.04020151261036845, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036845 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.43373493975903615, "acc_stderr": 0.03858158940685516, "acc_norm": 0.43373493975903615, "acc_norm_stderr": 0.03858158940685516 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.7134502923976608, "acc_stderr": 0.034678266857038245, "acc_norm": 0.7134502923976608, "acc_norm_stderr": 0.034678266857038245 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.27906976744186046, "mc1_stderr": 0.015702107090627904, "mc2": 0.45933703025376155, "mc2_stderr": 0.01568029542861706 }, "harness\|winogrande\|5": { "acc": 0.6424625098658248, "acc_stderr": 0.01347000744392069 }, "harness\|gsm8k\|5": { "acc": 0.0310841546626232, "acc_stderr": 0.004780296718393351 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
mirandal/image_descriptions_cleaned	--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 63932199.0 num_examples: 1000 download_size: 63719358 dataset_size: 63932199.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
autoevaluate/autoeval-eval-tweet_eval-offensive-f58805-30720144955	--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: cardiffnlp/roberta-base-offensive metrics: ['bertscore'] dataset_name: tweet_eval dataset_config: offensive dataset_split: train col_mapping: text: text target: label --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Multi-class Text Classification * Model: cardiffnlp/roberta-base-offensive * Dataset: tweet_eval * Config: offensive * Split: train To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@fabeelaalirawther@gmail.com](https://huggingface.co/fabeelaalirawther@gmail.com) for evaluating this model.
FaalSa/cluster2	--- dataset_info: features: - name: start dtype: timestamp[s] - name: target sequence: float32 - name: item_id dtype: string - name: feat_static_cat sequence: uint64 splits: - name: train num_bytes: 39452 num_examples: 1 - name: validation num_bytes: 39932 num_examples: 1 - name: test num_bytes: 40412 num_examples: 1 download_size: 134899 dataset_size: 119796 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---
sudeepag/sampled-t0_fsopt_data	--- dataset_info: features: - name: inputs dtype: string - name: targets dtype: string - name: _template_idx dtype: int64 - name: _task_source dtype: string - name: _task_name dtype: string - name: _template_type dtype: string splits: - name: train num_bytes: 19274572309.077045 num_examples: 6590315 download_size: 10861295931 dataset_size: 19274572309.077045 configs: - config_name: default data_files: - split: train path: data/train-* ---
J4YL19/biored_tokenized_1	--- dataset_info: features: - name: pmid dtype: string - name: passage dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 splits: - name: train num_bytes: 2615456 num_examples: 387 - name: val num_bytes: 700577 num_examples: 98 - name: test num_bytes: 667744 num_examples: 97 download_size: 1084461 dataset_size: 3983777 --- # Dataset Card for "biored_tokenized_new" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CyberHarem/sen_no_rikyu_fgo	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of sen_no_rikyu/千利休/千利休 (Fate/Grand Order) This is the dataset of sen_no_rikyu/千利休/千利休 (Fate/Grand Order), containing 89 images and their tags. The core tags of this character are `blunt_bangs, black_eyes, hat, grey_hair, multicolored_hair, black_hair, gradient_hair, medium_hair, tassel, black_headwear, white_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages \| Name \| Images \| Size \| Download \| Type \| Description \| \|:-----------------\|---------:\|:-----------\|:------------------------------------------------------------------------------------------------------------------\|:-----------\|:---------------------------------------------------------------------\| \| raw \| 89 \| 145.35 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/sen_no_rikyu_fgo/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 1200 \| 89 \| 120.89 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/sen_no_rikyu_fgo/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 190 \| 222.59 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/sen_no_rikyu_fgo/resolve/main/dataset-stage3-p480-1200.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/sen_no_rikyu_fgo', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| Tags \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\| \| 0 \| 13 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| 1girl, looking_at_viewer, solo, black_kimono, blue_flower, morning_glory, wide_sleeves, long_sleeves, holding, smile, simple_background, white_background, obi, closed_mouth \| \| 1 \| 7 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| 1girl, black_kimono, looking_at_viewer, solo, wide_sleeves, blue_flower, disembodied_limb, obi, smile, holding, long_sleeves, morning_glory, cup, flower_knot \| \| 2 \| 8 \| ![](samples/2/clu2-sample0.png) \| ![](samples/2/clu2-sample1.png) \| ![](samples/2/clu2-sample2.png) \| ![](samples/2/clu2-sample3.png) \| ![](samples/2/clu2-sample4.png) \| 1girl, red_kimono, solo, looking_at_viewer, red_headwear, short_hair, long_sleeves, obi, smile, wide_sleeves, folding_fan, holding_fan, simple_background, closed_mouth, disembodied_limb, white_background \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| looking_at_viewer \| solo \| black_kimono \| blue_flower \| morning_glory \| wide_sleeves \| long_sleeves \| holding \| smile \| simple_background \| white_background \| obi \| closed_mouth \| disembodied_limb \| cup \| flower_knot \| red_kimono \| red_headwear \| short_hair \| folding_fan \| holding_fan \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:--------------------\|:-------\|:---------------\|:--------------\|:----------------\|:---------------\|:---------------\|:----------\|:--------\|:--------------------\|:-------------------\|:------\|:---------------\|:-------------------\|:------\|:--------------\|:-------------\|:---------------\|:-------------\|:--------------\|:--------------\| \| 0 \| 13 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| 1 \| 7 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| X \| \| X \| X \| X \| \| \| \| \| \| \| 2 \| 8 \| ![](samples/2/clu2-sample0.png) \| ![](samples/2/clu2-sample1.png) \| ![](samples/2/clu2-sample2.png) \| ![](samples/2/clu2-sample3.png) \| ![](samples/2/clu2-sample4.png) \| X \| X \| X \| \| \| \| X \| X \| \| X \| X \| X \| X \| X \| X \| \| \| X \| X \| X \| X \| X \|
Rayan2023/dataset	--- license: openrail ---
aminlouhichi/test	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: ground_truth dtype: string splits: - name: train num_bytes: 27904115.0 num_examples: 128 - name: validation num_bytes: 5016141.0 num_examples: 22 - name: test num_bytes: 5016141.0 num_examples: 22 download_size: 35791518 dataset_size: 37936397.0 --- # Dataset Card for "test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Hipnotalamusz/AI_Assisted_Self_Images_With_Prompts_And_Personality_Tests	--- task_categories: - image-classification - text-classification language: - en tags: - psychology - art pretty_name: Digital mirror of the soul --- # Digital Mirror of the Soul - AI-Assisted Self-Images with Prompts and Psychological Questionnaires This dataset originates from a study that examines the intersection of artificial intelligence, psychology, and art. It provides a comprehensive collection of AI-generated images and textual prompts from participants engaging in a task designed to express their self-image. This work is ideal for researchers in the fields of psychology, artificial intelligence, and art therapy, offering a novel dataset for exploring self-representation and the psychological dimensions of AI-assisted art creation. ## Dataset Details ### Dataset Description This dataset comprises 18,219 images and 6,519 textual prompts created by 153 participants using the Midjourney v.4 and subsequently upgraded to v.5 AI software. Participants were tasked to create images that they believe are reflective of their personality, with a creation window limited to 45 minutes, meaning each entry is a participant's attempt to visualize aspects of their self-perception. In addition to image creation, participants completed a series of psychological questionnaires, detailed further in the description. They also engaged in a 15-20 minute interview with a psychology student, discussing the creation process, their images, and along with any thoughts, feelings, or memories evoked during the procedure. This dataset, containing the images, prompts, and results of various psychological questionnaires, supports a variety of research objectives, including the development of models to analyze visual and verbal self-expression, their development and temporal changes over the image creating session, and their potential use in inferring relevant psychological constructs ranging from body image, perfectionism, self-esteem, stability of identity, and BIG5 personality traits. - Curated by: Klaus Kellerwessel (0009-0005-6420-5691) and Lilla Juhász - Funded by: ÚNKP-23-2 New National Excellence Program of the Ministry for Culture and Innovation from the source of the Hungarian National Research, Development, and Innovation Fund. - Language(s) (NLP): English ### Dataset Sources [Optional] - Repository: [https://huggingface.co/datasets/Hipnotalamusz/AI_Assisted_Self_Images_With_Prompts_And_Personality_Tests](https://huggingface.co/datasets/Hipnotalamusz/AI_Assisted_Self_Images_With_Prompts_And_Personality_Tests) - Paper [Optional]: Under revision - we will add it later ## Uses The dataset is intended for academic researchers and practitioners interested in the cross-disciplinary areas of AI, psychology, and art therapy. It offers a unique dataset for studying the nuances of self-representation, providing a basis for both quantitative and qualitative analyses. Researchers interested in machine learning, gender studies, and the psychological impact of AI on art creation will find this dataset particularly useful. It facilitates a deeper understanding of the role of AI in art therapy practices and the broader implications for psychological research. ### Direct Use - Developing AI-driven psychological assessment tools that interpret visual and textual data. - Investigating the nuances of identity expression through digital art. - Enhancing art therapy practices with AI technology. ### Out-of-Scope Use The dataset is designed for scholarly research and is not intended for commercial use or any applications that could compromise the privacy or anonymity of the participants. Ethical guidelines should be strictly followed to ensure respectful and responsible use of the data. ## Dataset Structure The dataset is structured with comprehensive metadata for each participant's AI-generated images and textual prompts. Here's a guide to navigating and utilizing this rich dataset: ### Overview The dataset includes multiple rows for each participant, where each row corresponds to an image generated from a single text prompt. The columns encompass demographic information, psychological assessments, and details related to the image creation process. ### Columns Description - Participant_ID: Each participant created a unique identifier for themselves. This was necessary because participants filled in the questionnaires online one day before the image creation procedure, and we needed to connect the questionnaire results to the images and interviews somehow. We opted not to generate an ID from the participants' names due to privacy concerns, and this self-chosen approach seemed to work. Since the participants were all Hungarian, they sometimes used Hungarian words like "kémény" (chimney), "teknős" (turtle), and some in English (e.g., "soviet cat") or seemingly nonsensical (e.g., "t2ki7m") IDs also appear. - Image number: A sequential number indicating the order of the image generated by the participant. Images generated from the same prompt at the same session (see Event type) share their Image number. - Text Prompt: The textual description provided by the participant to generate the image in natural language. - Event type: Describes the nature of the image generation event: "imagine" for initial creations, "variation" for variations of an initial image, and "upscale" for a bigger and more detailed version of an initial image. The Midjourney program generates 4 images per 1 prompt for the initial image type "imagine" and their "variations", resulting in these images sharing image numbers in groups of 4 (see Image numbers). - file_name: The name of the file corresponding to the generated image, encapsulating the participant ID, image number, and the first 40 characters of the text prompt used. We also added some random characters to the end to ensure that every image's file_name is unique. - Gender: Participant's gender (1 indicates female, 0 male - we will add the data of our non-binary participants later). - Age: Participant's age. - Highest level of education: Coded value representing the participant's highest level of education achieved. And various psychological measures, including: - Rosenberg self-esteem The Rosenberg Self-Esteem Scale is a widely used tool for assessing an individual's self-esteem. It consists of 10 items designed to measure both positive and negative feelings about the self. The scale is scored on a four-point Likert scale, ranging from strongly agree to strongly disagree, with higher scores indicating higher self-esteem. Participants with high self-concept clarity might produce images and prompts that are more consistent and coherent, reflecting a stable and well-defined sense of self. (Rosenberg Self-esteem Scale: Horváth, Zs., Urbán, R., Kökönyei, Gy., Demetrovics, Zs. (2022). Kérdőíves módszerek a klinikai és egészségpszichológiai kutatásban és gyakorlatban I. Budapest: Medicina könyvkiadó.) - Extraversion/Big5 to Openness/Big5 This shortened version of the Big Five Personality Test measures five key dimensions of personality: Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness. Each dimension is assessed with two items, offering a brief yet effective insight into an individual's personality traits. The Big Five traits could offer a nuanced understanding of the themes and motifs chosen in the art creation process. For instance, high Openness might be linked to more creative and diverse prompts, while high Extraversion could relate to more socially engaging or dynamic content. (10-item Personality Inventory (Big5 – shortened version): Chiorri, C., Bracco, F., Piccinno, T., Modafferi, C., & Battini, V. (2015). Psychometric properties of a revised version of the Ten Item Personality Inventory. European Journal of Psychological Assessment.) - Self-concept clarity The Self-Concept Clarity Scale assesses the extent to which an individual's self-concept is clearly and confidently defined, internally consistent, and stable over time. High scores indicate a clear and confident self-concept. Participants with high self-concept clarity might produce images and prompts that are more consistent and coherent, reflecting a stable and well-defined sense of self. (Self-Concept Clarity Sale: Hargitai, R., Rózsa, S., Hupuczi, E., Birkás, B., Hartung, I., Hartungné Somlai, E., ... & Kállai, J. (2021). Énkép egyértelműség mérése és korrelátumai. Magyar Pszichológiai Szemle, 75(4), 557-580.) - Beck depression The Beck Depression Inventory is a 21-item self-report inventory, one of the most widely used instruments for measuring the severity of depression. Each item is scored on a scale from 0 to 3, with higher total scores indicating more severe depressive symptoms. Depression scores could influence the emotional tone of the generated images and prompts. Higher scores might be associated with themes of sadness, isolation, or other negative emotional expressions. (Beck Depression Inventory (BDI): 75 Papír-Ceruza teszt. Pszicho-ped Bt. - https://animula.hu/konyv/75-papir-ceruza-teszt ) - Interpersonal.../Ego Identity Status to Ideological achieved identity/Ego Identity Status This assessment tool measures Ego Identity Status across different domains, including interpersonal relations and ideological commitments. It categorizes identity status into diffusion, foreclosure, moratorium, and achievement, providing insight into the individual's identity exploration and commitment processes. Identity status may impact the thematic diversity and depth of participants' creations. Those in the achievement status might exhibit a greater variety of themes, reflecting a well-explored sense of identity. (Extended Objective Measure of EGO Identity Status II. /EOM-EIS II.: Jámbori, Sz., Kőrössy, J. (2019). A szándékos önsza-bályozás jelentősége serdülő és fiatal felnőttkorban a társas támogatás, az identitásállapotok és a reziliencia tükrében. Alkalma-zott Pszichológia 19(3): 33-52.) - Standards/Perfectionism to Discrepancy/Perfectionism This scale assesses perfectionism by measuring standards and discrepancy aspects. High standards reflect the setting of high personal performance standards, while discrepancy refers to perceived shortcomings in meeting those standards. Perfectionism scores, especially high discrepancy, might relate to how participants critique their own creations or the iterative process of refining their images through variations. (Almost Perfect Scale (perfectionism): Horváth, Zs., Urbán, R., Kökönyei, Gy., Demetrovics, Zs. (2022). Kérdőíves módszerek a klinikai és egészségpszichológiai kutatásban és gyakorlatban I. Budapest: Medicina könyvkiadó.) - Total/Body Image to Rest/Body image This questionnaire assesses body image across several dimensions, including general satisfaction with one's body, evaluation of body size, knowledge about one's body, and attitudes toward specific body parts or aspects. Body image scores could influence how participants choose to represent themselves or others in their images. Issues with body image might lead to avoiding personal representation or altering aspects of appearance in the generated art. (Personal body attitudes questionnaire: Horváth, Zs., Urbán, R., Kökönyei, Gy., Demetrovics, Zs. (2022). Kérdőíves módszerek a klinikai és egészségpszichológiai kutatásban és gyakorlatban I. Budapest: Medicina könyvkiadó.) ### Navigating and Utilizing the Dataset - Participant Analysis: Isolate data for individual participants using the Participant_ID column for qualitative case studies or aggregate data across participants for broader analyses. - Image Type and Number: Key to understanding the context of each image. Variations or upscales from an image might reflect a participant's preference for continuing to work on this particular image, assuming that the upscaled and variated images might contain more useful information than the more accidental "imagine" types. The image number enables us to investigate the dynamic processes of image creation, the shifts of focus, and experimentations. - Text Prompts: Explore thematic (categories, topics used in self-description) or formal (linguistic, stylistic) features of the prompts, their changes in the creation process, or correlations with the psychological measures provided. - Images: Analyze thematic (content of the image) or formal (colors, brightness, composition, edge density, etc.) features of the images to infer different psychological and demographic data. - Statistical and Machine Learning Analyses: Use the dataset for both traditional statistical analyses and advanced machine learning models (both supervised and unsupervised) to explore underlying patterns and correlations in how participants express themselves through AI-generated art. ## Dataset Creation ### Curation Rationale As passive recipients, we often differentiate sharply between AI and human-made artworks. However, studies show that when individuals personally engage with AI art softwares, they tend to view the creative process as collaborative, feeling a sense of ownership over the finished works. This type of involvement and sense of personal connection can serve as a basis for the use of these tools in art therapy and even psychometrics. This dataset primarily investigates how individuals can express complex psychological states through AI-generated art - and whether it is possible to deduce them from only the images and the prompts used. ### Source Data Data was collected in a controlled study environment, with participants guided through the process of creating AI-assisted art. #### Data Collection and Processing The test session, which lasts between 80 and 90 minutes, involves only the examiner and the participant. The procedure begins with a brief tutorial on the image-generation software (Midjourney®), where an example image is generated using a 'Dogs and flowers' prompt. After obtaining informed consent, participants are instructed to take self-portraits for 45 minutes, using natural language prompts as guided by the following standardized instruction: > "I would like to ask you to try to take pictures of yourself that express who you are and how you feel about yourself. These images do not have to be lifelike, but they can be. They can be based on several basic ideas, embedded in scenes or situations, and can deviate from reality as much as you like. During the image creation process, you can specify artistic styles, play with the format, composition, lighting, and colours. The goal is to produce as many images as possible that you feel capture something of your personality." During image creation, participants are encouraged to ask technical questions and may use the online DeepL translator to overcome language barriers, given that the participants were Hungarian and the image creation process was conducted in English. However, they receive no further assistance; for example, they cannot use a mirror or a specific image found on their phone as a template. The 45 minutes starts after the first successfully completed image pack is loaded, and the examiner gives a signal five minutes before it runs out. Upon completing the 45-minute period, participants are allowed to finish the prompt they have already started but are not permitted to initiate new ones. The image-making phase was followed by a 15-20 minute semi-structured interview, guided by the following questions: - How are you feeling now? - What was it like to go through the task? - Was the 45-minute duration enough, or did you feel it was too much or too little? - Did you experience a state of flow? Were you able to settle in? - What goals did you set for yourself? - Did you have any strategy or did you simply allow yourself to associate freely? - How difficult was it for you to try to define yourself for 45 minutes? - How do you relate to the finished images? - Which ones do you feel are the most expressive of yourself? - Which ones the least? - Which one do you think your best friend would find the most expressive of you? - How does it feel to look through the pictures now? - Have you had any realisations in terms of self-knowledge? - Did you encounter any drawbacks or difficulties in using the program or during the test-taking process? - What would you change if you could start over? #### Who are the Source Data Producers? All of our participants were Hungarian young adults between 18 and 28 years old. They have been anonymized, with their questionnaires, interviews, and images linked solely through the unique ID each participant selected. ## Bias, Risks, and Limitations The dataset's interpretations should be made with caution, considering the socio-cultural context of the participants and the influence of AI technology on artistic expression. Ethical considerations are paramount, especially concerning participant privacy and the interpretation of artistic expressions. ### Recommendations Researchers are encouraged to approach the dataset with a multidisciplinary perspective, integrating insights from psychology, artificial intelligence, and art theory. This dataset offers a unique opportunity to explore the boundaries of AI-mediated human expression and its implications for psychological research and practice. Careful, ethical analysis can lead to significant advancements in our understanding of AI as a tool for self-exploration and expression in both clinical and research settings. ## Citation [Optional] _Coming soon!_ BibTeX: APA: ## Dataset Card Authors [Optional] Klaus Kellerwessel (Eötvös Loránd Tudományegyetem, Budapest; University of Pannonia, Veszprém) ## Dataset Card Contact kellerwesselklaus@gmail.com
sinhala-nlp/HelaTransformer	--- license: unknown ---
saibo/bookcorpus_compact_1024_shard5_of_10	--- dataset_info: features: - name: text dtype: string - name: concept_with_offset dtype: string splits: - name: train num_bytes: 739992156 num_examples: 61605 download_size: 372896291 dataset_size: 739992156 --- # Dataset Card for "bookcorpus_compact_1024_shard5" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
HumanF-MarkrAI/new_instruct_concated	--- dataset_info: features: - name: input dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 2184658366 num_examples: 657763 download_size: 1108568226 dataset_size: 2184658366 configs: - config_name: default data_files: - split: train path: data/train-* ---
FlyCole/Dream2Real	--- license: cc-by-nc-sa-4.0 ---
sezosan/arc_tr_s4	--- dataset_info: features: - name: id dtype: string - name: question dtype: string - name: choices sequence: - name: text dtype: string - name: label dtype: string - name: answerKey dtype: string splits: - name: validation num_bytes: 86423.0 num_examples: 250 download_size: 50638 dataset_size: 86423.0 configs: - config_name: default data_files: - split: validation path: data/validation-* --- # Dataset Card for "arc_tr_s4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
reza-alipour/muse-landmark-0	--- dataset_info: features: - name: id dtype: string - name: image dtype: image - name: mask dtype: image - name: caption dtype: string - name: caption_fre dtype: string - name: caption_deu dtype: string - name: caption_ita dtype: string - name: caption_spa dtype: string - name: generated_mask dtype: image splits: - name: train num_bytes: 578425461.5 num_examples: 1500 download_size: 230627940 dataset_size: 578425461.5 configs: - config_name: default data_files: - split: train path: data/train-* ---
Kamyar-zeinalipour/EN_CW	--- dataset_info: features: - name: date dtype: string - name: answer dtype: string - name: clue dtype: string - name: partial dtype: bool - name: couple_occurencies dtype: int64 splits: - name: train num_bytes: 387434957 num_examples: 7327448 download_size: 188270614 dataset_size: 387434957 --- # Dataset Card for "EN_CW" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
amphora/lmsys-filtered	--- dataset_info: features: - name: conversation_id dtype: string - name: model dtype: string - name: conversation dtype: string - name: turn dtype: int64 - name: language dtype: string - name: openai_moderation dtype: string - name: redacted dtype: bool - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 317822351 num_examples: 62968 download_size: 122101594 dataset_size: 317822351 --- # Dataset Card for "lmsys-filtered" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tasksource/natural-language-satisfiability	--- task_categories: - text-classification language: - en task_ids: - natural-language-inference --- ```bibtex @misc{https://doi.org/10.48550/arxiv.2211.05417, doi = {10.48550/ARXIV.2211.05417}, url = {https://arxiv.org/abs/2211.05417}, author = {Schlegel, Viktor and Pavlov, Kamen V. and Pratt-Hartmann, Ian}, keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences}, title = {Can Transformers Reason in Fragments of Natural Language?}, publisher = {arXiv}, year = {2022}, copyright = {Creative Commons Attribution 4.0 International} } ```
result-kand2-sdxl-wuerst-karlo/ddb740fe	--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 201 num_examples: 10 download_size: 1398 dataset_size: 201 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "ddb740fe" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
TahmidH/Bengali_Sentence_Construction	--- license: cc0-1.0 language: - bn size_categories: - 1K<n<10K ---
Maxwell001/skill_model_formatted_2	--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 444276 num_examples: 1023 download_size: 187166 dataset_size: 444276 configs: - config_name: default data_files: - split: train path: data/train-* ---
nonnon/test	--- license: other ---
nyanko7/LLaMA-65B	--- license: openrail ---
zolak/twitter_dataset_50_1713129456	--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 264030 num_examples: 604 download_size: 133659 dataset_size: 264030 configs: - config_name: default data_files: - split: train path: data/train-* ---
edumunozsala/dpo-hate-speech-es	--- dataset_info: features: - name: input dtype: string - name: chosen dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 1802231 num_examples: 3572 download_size: 994667 dataset_size: 1802231 configs: - config_name: default data_files: - split: train path: data/train-* ---
M-AI-C/en-tafsir-mokhtasar	--- dataset_info: features: - name: ayah dtype: int64 - name: sorah dtype: int64 - name: sentence dtype: string - name: en-tafsir-mokhtasar-html dtype: string - name: en-tafsir-mokhtasar-text dtype: string splits: - name: train num_bytes: 4976739 num_examples: 6235 download_size: 2479802 dataset_size: 4976739 --- # Dataset Card for "en-tafsir-mokhtasar" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
harshithvh/llama2_format	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 411866 num_examples: 251 download_size: 88988 dataset_size: 411866 configs: - config_name: default data_files: - split: train path: data/train-* ---
argilla/dolly-curated-comparison-falcon-7b-instruct	--- language: en dataset_info: features: - name: prompt dtype: string - name: response-1 dtype: string - name: response-2 dtype: string - name: category dtype: string - name: original_response dtype: string - name: external_id dtype: int64 splits: - name: train num_bytes: 10328235 num_examples: 7401 download_size: 6598297 dataset_size: 10328235 --- # Dataset Card for "dolly-curated-comparison-falcon-7b-instruct" This dataset contains two generated responses using the `falcon-7b-instruct` model and the original, curated, prompt + responses from the Dolly v2 curated dataset. For now only 50% of the original dataset is available but we plan to complete it. This dataset can be used for training a reward model for RLHF using [Argilla Feedback](https://docs.argilla.io/en/latest/guides/llms/conceptual_guides/conceptual_guides.html) [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
UnstableJeje/donald	--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 184278.0 num_examples: 21 download_size: 185347 dataset_size: 184278.0 --- # Dataset Card for "donald" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
kor_sarcasm	--- 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](jiwon.kim.096@gmail.com) ### 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.
wanng/midjourney-v5-202304-clean	--- license: apache-2.0 task_categories: - text-to-image - image-to-text language: - en tags: - midjourney --- # midjourney-v5-202304-clean ## 简介 Brief Introduction 非官方的，爬取自midjourney v5的2023年4月的数据，一共1701420条。 Unofficial, crawled from midjourney v5 for April 2023, 1,701,420 pairs in total. ## 数据集信息 Dataset Information 原始项目地址：https://huggingface.co/datasets/tarungupta83/MidJourney_v5_Prompt_dataset 我做了一些清洗，清理出了两个文件： - ori_prompts_df.parquet （1,255,812对，midjourney的四格图） ![ori_sample](https://cdn.discordapp.com/attachments/995431387333152778/1098283849076711424/mansonwu_A_charismatic_wealthy_young_man_is_fully_immersed_in_a_9bd4f414-eb40-4642-a381-f5ac56e99ec5.png) - upscaled_prompts_df.parquet （445,608对，使用了高清指令的图，这意味着这个图更受欢迎。） ![upscaled_sample](https://cdn.discordapp.com/attachments/984632520471633920/1105721768422948905/Tomberhood_The_intelligent_rescue_boat_on_the_beach_can_automat_e54faffe-0668-49e4-812d-713038bdc7bc.png) Original project address: https://huggingface.co/datasets/tarungupta83/MidJourney_v5_Prompt_dataset I did some cleaning and cleaned out two files: - ori_prompts_df.parquet (1,255,812 pairs, midjourney's four-frame diagrams) - upscaled_prompts_df.parquet (445,608 pairs, graphs that use the Upscale command, which means this one is more popular.)
manishiitg/camel-ai-chemistry	--- dataset_info: features: - name: system dtype: string - name: instruction dtype: string - name: response dtype: string - name: lang dtype: string splits: - name: train num_bytes: 159637053 num_examples: 40000 download_size: 52279570 dataset_size: 159637053 configs: - config_name: default data_files: - split: train path: data/train-* ---
CyberHarem/ashisu_sahoto_mangakasantoassistantsanto	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Ashisu Sahoto This is the dataset of Ashisu Sahoto, containing 200 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 200 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 407 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 200 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 200 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 200 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 200 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 200 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 407 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 407 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 407 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|
Meunomeejohn/Geto	--- license: openrail ---
CyberHarem/tiamat_fireemblem	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of tiamat (Fire Emblem) This is the dataset of tiamat (Fire Emblem), containing 55 images and their tags. The core tags of this character are `long_hair, red_hair, green_eyes, braid, very_long_hair, single_braid`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages \| Name \| Images \| Size \| Download \| Type \| Description \| \|:-----------------\|---------:\|:----------\|:-------------------------------------------------------------------------------------------------------------------\|:-----------\|:---------------------------------------------------------------------\| \| raw \| 55 \| 58.54 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/tiamat_fireemblem/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 55 \| 36.85 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/tiamat_fireemblem/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 94 \| 61.02 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/tiamat_fireemblem/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 55 \| 52.16 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/tiamat_fireemblem/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 94 \| 82.25 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/tiamat_fireemblem/resolve/main/dataset-stage3-p480-1200.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/tiamat_fireemblem', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| Tags \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------\| \| 0 \| 5 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| 1girl, large_breasts, looking_at_viewer, solo, beach, cleavage, day, ocean, outdoors, smile, ass, blush, one-piece_swimsuit, sky, white_bikini \| \| 1 \| 24 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| 1girl, solo, breastplate, white_background, looking_at_viewer, gauntlets, smile, spear \| \| 2 \| 9 \| ![](samples/2/clu2-sample0.png) \| ![](samples/2/clu2-sample1.png) \| ![](samples/2/clu2-sample2.png) \| ![](samples/2/clu2-sample3.png) \| ![](samples/2/clu2-sample4.png) \| 1girl, necklace, smile, solo, dress, head_wreath, hair_flower, holding_staff, long_sleeves, boots, full_body, looking_at_viewer, simple_background \| \| 3 \| 5 \| ![](samples/3/clu3-sample0.png) \| ![](samples/3/clu3-sample1.png) \| ![](samples/3/clu3-sample2.png) \| ![](samples/3/clu3-sample3.png) \| ![](samples/3/clu3-sample4.png) \| 1girl, 1boy, blush, hetero, large_breasts, nipples, censored, cum_in_pussy, female_pubic_hair, penis, sex, completely_nude, heart, navel, open_mouth, solo_focus, vaginal \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| large_breasts \| looking_at_viewer \| solo \| beach \| cleavage \| day \| ocean \| outdoors \| smile \| ass \| blush \| one-piece_swimsuit \| sky \| white_bikini \| breastplate \| white_background \| gauntlets \| spear \| necklace \| dress \| head_wreath \| hair_flower \| holding_staff \| long_sleeves \| boots \| full_body \| simple_background \| 1boy \| hetero \| nipples \| censored \| cum_in_pussy \| female_pubic_hair \| penis \| sex \| completely_nude \| heart \| navel \| open_mouth \| solo_focus \| vaginal \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:----------------\|:--------------------\|:-------\|:--------\|:-----------\|:------\|:--------\|:-----------\|:--------\|:------\|:--------\|:---------------------\|:------\|:---------------\|:--------------\|:-------------------\|:------------\|:--------\|:-----------\|:--------\|:--------------\|:--------------\|:----------------\|:---------------\|:--------\|:------------\|:--------------------\|:-------\|:---------\|:----------\|:-----------\|:---------------\|:--------------------\|:--------\|:------\|:------------------\|:--------\|:--------\|:-------------\|:-------------\|:----------\| \| 0 \| 5 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 24 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| X \| \| X \| X \| \| \| \| \| \| X \| \| \| \| \| \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 2 \| 9 \| ![](samples/2/clu2-sample0.png) \| ![](samples/2/clu2-sample1.png) \| ![](samples/2/clu2-sample2.png) \| ![](samples/2/clu2-sample3.png) \| ![](samples/2/clu2-sample4.png) \| X \| \| X \| X \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 3 \| 5 \| ![](samples/3/clu3-sample0.png) \| ![](samples/3/clu3-sample1.png) \| ![](samples/3/clu3-sample2.png) \| ![](samples/3/clu3-sample3.png) \| ![](samples/3/clu3-sample4.png) \| X \| X \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \|
speed1/rk	--- license: openrail ---
open-llm-leaderboard/details_chinoll__Yi-7b-dpo	--- pretty_name: Evaluation run of chinoll/Yi-7b-dpo dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [chinoll/Yi-7b-dpo](https://huggingface.co/chinoll/Yi-7b-dpo) on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_chinoll__Yi-7b-dpo\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-04T16:10:38.355372](https://huggingface.co/datasets/open-llm-leaderboard/details_chinoll__Yi-7b-dpo/blob/main/results_2023-12-04T16-10-38.355372.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\": 0.6274780891690785,\n\ \ \"acc_stderr\": 0.03214198982171106,\n \"acc_norm\": 0.6382309545732996,\n\ \ \"acc_norm_stderr\": 0.03286487964348697,\n \"mc1\": 0.3047735618115055,\n\ \ \"mc1_stderr\": 0.016114124156882455,\n \"mc2\": 0.4551491788416383,\n\ \ \"mc2_stderr\": 0.014826375266749701\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.39505119453924914,\n \"acc_stderr\": 0.014285898292938172,\n\ \ \"acc_norm\": 0.4308873720136519,\n \"acc_norm_stderr\": 0.014471133392642475\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.5570603465445131,\n\ \ \"acc_stderr\": 0.004957182635381807,\n \"acc_norm\": 0.7452698665604461,\n\ \ \"acc_norm_stderr\": 0.004348189459336535\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.7105263157894737,\n \"acc_stderr\": 0.03690677986137282,\n\ \ \"acc_norm\": 0.7105263157894737,\n \"acc_norm_stderr\": 0.03690677986137282\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|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-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6943396226415094,\n \"acc_stderr\": 0.028353298073322666,\n\ \ \"acc_norm\": 0.6943396226415094,\n \"acc_norm_stderr\": 0.028353298073322666\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6527777777777778,\n\ \ \"acc_stderr\": 0.039812405437178615,\n \"acc_norm\": 0.6527777777777778,\n\ \ \"acc_norm_stderr\": 0.039812405437178615\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.048241815132442176,\n \ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.048241815132442176\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\"\ : 0.54,\n \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.03599586301247077,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.03599586301247077\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.30392156862745096,\n \"acc_stderr\": 0.04576665403207762,\n\ \ \"acc_norm\": 0.30392156862745096,\n \"acc_norm_stderr\": 0.04576665403207762\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.77,\n \"acc_stderr\": 0.042295258468165065,\n \"acc_norm\": 0.77,\n\ \ \"acc_norm_stderr\": 0.042295258468165065\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.6042553191489362,\n \"acc_stderr\": 0.03196758697835362,\n\ \ \"acc_norm\": 0.6042553191489362,\n \"acc_norm_stderr\": 0.03196758697835362\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\": 0.6137931034482759,\n \"acc_stderr\": 0.04057324734419035,\n\ \ \"acc_norm\": 0.6137931034482759,\n \"acc_norm_stderr\": 0.04057324734419035\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.47354497354497355,\n \"acc_stderr\": 0.02571523981134676,\n \"\ acc_norm\": 0.47354497354497355,\n \"acc_norm_stderr\": 0.02571523981134676\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.3888888888888889,\n\ \ \"acc_stderr\": 0.04360314860077459,\n \"acc_norm\": 0.3888888888888889,\n\ \ \"acc_norm_stderr\": 0.04360314860077459\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7774193548387097,\n\ \ \"acc_stderr\": 0.023664216671642518,\n \"acc_norm\": 0.7774193548387097,\n\ \ \"acc_norm_stderr\": 0.023664216671642518\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.49261083743842365,\n \"acc_stderr\": 0.03517603540361009,\n\ \ \"acc_norm\": 0.49261083743842365,\n \"acc_norm_stderr\": 0.03517603540361009\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\"\ : 0.63,\n \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7696969696969697,\n \"acc_stderr\": 0.0328766675860349,\n\ \ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.0328766675860349\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.8080808080808081,\n \"acc_stderr\": 0.028057791672989017,\n \"\ acc_norm\": 0.8080808080808081,\n \"acc_norm_stderr\": 0.028057791672989017\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8601036269430051,\n \"acc_stderr\": 0.02503387058301518,\n\ \ \"acc_norm\": 0.8601036269430051,\n \"acc_norm_stderr\": 0.02503387058301518\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6487179487179487,\n \"acc_stderr\": 0.024203665177902803,\n\ \ \"acc_norm\": 0.6487179487179487,\n \"acc_norm_stderr\": 0.024203665177902803\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253252,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253252\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.7605042016806722,\n \"acc_stderr\": 0.027722065493361276,\n\ \ \"acc_norm\": 0.7605042016806722,\n \"acc_norm_stderr\": 0.027722065493361276\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3973509933774834,\n \"acc_stderr\": 0.0399552400768168,\n \"acc_norm\"\ : 0.3973509933774834,\n \"acc_norm_stderr\": 0.0399552400768168\n },\n\ \ \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\": 0.8385321100917431,\n\ \ \"acc_stderr\": 0.01577623925616323,\n \"acc_norm\": 0.8385321100917431,\n\ \ \"acc_norm_stderr\": 0.01577623925616323\n },\n \"harness\|hendrycksTest-high_school_statistics\|5\"\ : {\n \"acc\": 0.5370370370370371,\n \"acc_stderr\": 0.03400603625538272,\n\ \ \"acc_norm\": 0.5370370370370371,\n \"acc_norm_stderr\": 0.03400603625538272\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7794117647058824,\n \"acc_stderr\": 0.02910225438967409,\n \"\ acc_norm\": 0.7794117647058824,\n \"acc_norm_stderr\": 0.02910225438967409\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7805907172995781,\n \"acc_stderr\": 0.026939106581553945,\n \ \ \"acc_norm\": 0.7805907172995781,\n \"acc_norm_stderr\": 0.026939106581553945\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6591928251121076,\n\ \ \"acc_stderr\": 0.0318114974705536,\n \"acc_norm\": 0.6591928251121076,\n\ \ \"acc_norm_stderr\": 0.0318114974705536\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7480916030534351,\n \"acc_stderr\": 0.03807387116306086,\n\ \ \"acc_norm\": 0.7480916030534351,\n \"acc_norm_stderr\": 0.03807387116306086\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.768595041322314,\n \"acc_stderr\": 0.03849856098794086,\n \"acc_norm\"\ : 0.768595041322314,\n \"acc_norm_stderr\": 0.03849856098794086\n },\n\ \ \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8055555555555556,\n\ \ \"acc_stderr\": 0.038260763248848646,\n \"acc_norm\": 0.8055555555555556,\n\ \ \"acc_norm_stderr\": 0.038260763248848646\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7791411042944786,\n \"acc_stderr\": 0.03259177392742179,\n\ \ \"acc_norm\": 0.7791411042944786,\n \"acc_norm_stderr\": 0.03259177392742179\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.39285714285714285,\n\ \ \"acc_stderr\": 0.04635550135609976,\n \"acc_norm\": 0.39285714285714285,\n\ \ \"acc_norm_stderr\": 0.04635550135609976\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.03989139859531771,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.03989139859531771\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.02126271940040697,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.02126271940040697\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.74,\n \"acc_stderr\": 0.04408440022768079,\n \ \ \"acc_norm\": 0.74,\n \"acc_norm_stderr\": 0.04408440022768079\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8109833971902938,\n\ \ \"acc_stderr\": 0.014000791294407004,\n \"acc_norm\": 0.8109833971902938,\n\ \ \"acc_norm_stderr\": 0.014000791294407004\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7225433526011561,\n \"acc_stderr\": 0.024105712607754307,\n\ \ \"acc_norm\": 0.7225433526011561,\n \"acc_norm_stderr\": 0.024105712607754307\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.3854748603351955,\n\ \ \"acc_stderr\": 0.016277927039638193,\n \"acc_norm\": 0.3854748603351955,\n\ \ \"acc_norm_stderr\": 0.016277927039638193\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7287581699346405,\n \"acc_stderr\": 0.025457756696667878,\n\ \ \"acc_norm\": 0.7287581699346405,\n \"acc_norm_stderr\": 0.025457756696667878\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7331189710610932,\n\ \ \"acc_stderr\": 0.025122637608816657,\n \"acc_norm\": 0.7331189710610932,\n\ \ \"acc_norm_stderr\": 0.025122637608816657\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7191358024691358,\n \"acc_stderr\": 0.025006469755799208,\n\ \ \"acc_norm\": 0.7191358024691358,\n \"acc_norm_stderr\": 0.025006469755799208\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.46099290780141844,\n \"acc_stderr\": 0.029736592526424438,\n \ \ \"acc_norm\": 0.46099290780141844,\n \"acc_norm_stderr\": 0.029736592526424438\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.48565840938722293,\n\ \ \"acc_stderr\": 0.012764981829524265,\n \"acc_norm\": 0.48565840938722293,\n\ \ \"acc_norm_stderr\": 0.012764981829524265\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6470588235294118,\n \"acc_stderr\": 0.02902942281568139,\n\ \ \"acc_norm\": 0.6470588235294118,\n \"acc_norm_stderr\": 0.02902942281568139\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.673202614379085,\n \"acc_stderr\": 0.01897542792050721,\n \ \ \"acc_norm\": 0.673202614379085,\n \"acc_norm_stderr\": 0.01897542792050721\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7,\n\ \ \"acc_stderr\": 0.04389311454644287,\n \"acc_norm\": 0.7,\n \ \ \"acc_norm_stderr\": 0.04389311454644287\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7551020408163265,\n \"acc_stderr\": 0.02752963744017493,\n\ \ \"acc_norm\": 0.7551020408163265,\n \"acc_norm_stderr\": 0.02752963744017493\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8258706467661692,\n\ \ \"acc_stderr\": 0.026814951200421603,\n \"acc_norm\": 0.8258706467661692,\n\ \ \"acc_norm_stderr\": 0.026814951200421603\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.035887028128263686,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.035887028128263686\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.4939759036144578,\n\ \ \"acc_stderr\": 0.03892212195333045,\n \"acc_norm\": 0.4939759036144578,\n\ \ \"acc_norm_stderr\": 0.03892212195333045\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.3047735618115055,\n\ \ \"mc1_stderr\": 0.016114124156882455,\n \"mc2\": 0.4551491788416383,\n\ \ \"mc2_stderr\": 0.014826375266749701\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7308602999210734,\n \"acc_stderr\": 0.012464911951268736\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.11372251705837756,\n \ \ \"acc_stderr\": 0.008744810131034042\n }\n}\n```" repo_url: https://huggingface.co/chinoll/Yi-7b-dpo leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|arc:challenge\|25_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-04T16-10-38.355372.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|gsm8k\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hellaswag\|10_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-04T16-10-38.355372.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-04T16-10-38.355372.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '/details_harness\|winogrande\|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-04T16-10-38.355372.parquet' - config_name: results data_files: - split: 2023_12_04T16_10_38.355372 path: - results_2023-12-04T16-10-38.355372.parquet - split: latest path: - results_2023-12-04T16-10-38.355372.parquet --- # Dataset Card for Evaluation run of chinoll/Yi-7b-dpo ## Dataset Description - Homepage: - Repository: https://huggingface.co/chinoll/Yi-7b-dpo - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [chinoll/Yi-7b-dpo](https://huggingface.co/chinoll/Yi-7b-dpo) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_chinoll__Yi-7b-dpo", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-04T16:10:38.355372](https://huggingface.co/datasets/open-llm-leaderboard/details_chinoll__Yi-7b-dpo/blob/main/results_2023-12-04T16-10-38.355372.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": 0.6274780891690785, "acc_stderr": 0.03214198982171106, "acc_norm": 0.6382309545732996, "acc_norm_stderr": 0.03286487964348697, "mc1": 0.3047735618115055, "mc1_stderr": 0.016114124156882455, "mc2": 0.4551491788416383, "mc2_stderr": 0.014826375266749701 }, "harness\|arc:challenge\|25": { "acc": 0.39505119453924914, "acc_stderr": 0.014285898292938172, "acc_norm": 0.4308873720136519, "acc_norm_stderr": 0.014471133392642475 }, "harness\|hellaswag\|10": { "acc": 0.5570603465445131, "acc_stderr": 0.004957182635381807, "acc_norm": 0.7452698665604461, "acc_norm_stderr": 0.004348189459336535 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.7105263157894737, "acc_stderr": 0.03690677986137282, "acc_norm": 0.7105263157894737, "acc_norm_stderr": 0.03690677986137282 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6943396226415094, "acc_stderr": 0.028353298073322666, "acc_norm": 0.6943396226415094, "acc_norm_stderr": 0.028353298073322666 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6527777777777778, "acc_stderr": 0.039812405437178615, "acc_norm": 0.6527777777777778, "acc_norm_stderr": 0.039812405437178615 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.36, "acc_stderr": 0.048241815132442176, "acc_norm": 0.36, "acc_norm_stderr": 0.048241815132442176 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6647398843930635, "acc_stderr": 0.03599586301247077, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.03599586301247077 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.30392156862745096, "acc_stderr": 0.04576665403207762, "acc_norm": 0.30392156862745096, "acc_norm_stderr": 0.04576665403207762 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.77, "acc_stderr": 0.042295258468165065, "acc_norm": 0.77, "acc_norm_stderr": 0.042295258468165065 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.6042553191489362, "acc_stderr": 0.03196758697835362, "acc_norm": 0.6042553191489362, "acc_norm_stderr": 0.03196758697835362 }, "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": 0.6137931034482759, "acc_stderr": 0.04057324734419035, "acc_norm": 0.6137931034482759, "acc_norm_stderr": 0.04057324734419035 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.47354497354497355, "acc_stderr": 0.02571523981134676, "acc_norm": 0.47354497354497355, "acc_norm_stderr": 0.02571523981134676 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.3888888888888889, "acc_stderr": 0.04360314860077459, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.04360314860077459 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7774193548387097, "acc_stderr": 0.023664216671642518, "acc_norm": 0.7774193548387097, "acc_norm_stderr": 0.023664216671642518 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.49261083743842365, "acc_stderr": 0.03517603540361009, "acc_norm": 0.49261083743842365, "acc_norm_stderr": 0.03517603540361009 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7696969696969697, "acc_stderr": 0.0328766675860349, "acc_norm": 0.7696969696969697, "acc_norm_stderr": 0.0328766675860349 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.8080808080808081, "acc_stderr": 0.028057791672989017, "acc_norm": 0.8080808080808081, "acc_norm_stderr": 0.028057791672989017 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8601036269430051, "acc_stderr": 0.02503387058301518, "acc_norm": 0.8601036269430051, "acc_norm_stderr": 0.02503387058301518 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6487179487179487, "acc_stderr": 0.024203665177902803, "acc_norm": 0.6487179487179487, "acc_norm_stderr": 0.024203665177902803 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.337037037037037, "acc_stderr": 0.028820884666253252, "acc_norm": 0.337037037037037, "acc_norm_stderr": 0.028820884666253252 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.7605042016806722, "acc_stderr": 0.027722065493361276, "acc_norm": 0.7605042016806722, "acc_norm_stderr": 0.027722065493361276 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3973509933774834, "acc_stderr": 0.0399552400768168, "acc_norm": 0.3973509933774834, "acc_norm_stderr": 0.0399552400768168 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8385321100917431, "acc_stderr": 0.01577623925616323, "acc_norm": 0.8385321100917431, "acc_norm_stderr": 0.01577623925616323 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5370370370370371, "acc_stderr": 0.03400603625538272, "acc_norm": 0.5370370370370371, "acc_norm_stderr": 0.03400603625538272 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7794117647058824, "acc_stderr": 0.02910225438967409, "acc_norm": 0.7794117647058824, "acc_norm_stderr": 0.02910225438967409 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7805907172995781, "acc_stderr": 0.026939106581553945, "acc_norm": 0.7805907172995781, "acc_norm_stderr": 0.026939106581553945 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6591928251121076, "acc_stderr": 0.0318114974705536, "acc_norm": 0.6591928251121076, "acc_norm_stderr": 0.0318114974705536 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7480916030534351, "acc_stderr": 0.03807387116306086, "acc_norm": 0.7480916030534351, "acc_norm_stderr": 0.03807387116306086 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.768595041322314, "acc_stderr": 0.03849856098794086, "acc_norm": 0.768595041322314, "acc_norm_stderr": 0.03849856098794086 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8055555555555556, "acc_stderr": 0.038260763248848646, "acc_norm": 0.8055555555555556, "acc_norm_stderr": 0.038260763248848646 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7791411042944786, "acc_stderr": 0.03259177392742179, "acc_norm": 0.7791411042944786, "acc_norm_stderr": 0.03259177392742179 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.39285714285714285, "acc_stderr": 0.04635550135609976, "acc_norm": 0.39285714285714285, "acc_norm_stderr": 0.04635550135609976 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7961165048543689, "acc_stderr": 0.03989139859531771, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.03989139859531771 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8803418803418803, "acc_stderr": 0.02126271940040697, "acc_norm": 0.8803418803418803, "acc_norm_stderr": 0.02126271940040697 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.74, "acc_stderr": 0.04408440022768079, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768079 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8109833971902938, "acc_stderr": 0.014000791294407004, "acc_norm": 0.8109833971902938, "acc_norm_stderr": 0.014000791294407004 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7225433526011561, "acc_stderr": 0.024105712607754307, "acc_norm": 0.7225433526011561, "acc_norm_stderr": 0.024105712607754307 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.3854748603351955, "acc_stderr": 0.016277927039638193, "acc_norm": 0.3854748603351955, "acc_norm_stderr": 0.016277927039638193 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7287581699346405, "acc_stderr": 0.025457756696667878, "acc_norm": 0.7287581699346405, "acc_norm_stderr": 0.025457756696667878 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7331189710610932, "acc_stderr": 0.025122637608816657, "acc_norm": 0.7331189710610932, "acc_norm_stderr": 0.025122637608816657 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7191358024691358, "acc_stderr": 0.025006469755799208, "acc_norm": 0.7191358024691358, "acc_norm_stderr": 0.025006469755799208 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.46099290780141844, "acc_stderr": 0.029736592526424438, "acc_norm": 0.46099290780141844, "acc_norm_stderr": 0.029736592526424438 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.48565840938722293, "acc_stderr": 0.012764981829524265, "acc_norm": 0.48565840938722293, "acc_norm_stderr": 0.012764981829524265 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6470588235294118, "acc_stderr": 0.02902942281568139, "acc_norm": 0.6470588235294118, "acc_norm_stderr": 0.02902942281568139 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.673202614379085, "acc_stderr": 0.01897542792050721, "acc_norm": 0.673202614379085, "acc_norm_stderr": 0.01897542792050721 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7, "acc_stderr": 0.04389311454644287, "acc_norm": 0.7, "acc_norm_stderr": 0.04389311454644287 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7551020408163265, "acc_stderr": 0.02752963744017493, "acc_norm": 0.7551020408163265, "acc_norm_stderr": 0.02752963744017493 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8258706467661692, "acc_stderr": 0.026814951200421603, "acc_norm": 0.8258706467661692, "acc_norm_stderr": 0.026814951200421603 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.85, "acc_stderr": 0.035887028128263686, "acc_norm": 0.85, "acc_norm_stderr": 0.035887028128263686 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.4939759036144578, "acc_stderr": 0.03892212195333045, "acc_norm": 0.4939759036144578, "acc_norm_stderr": 0.03892212195333045 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.3047735618115055, "mc1_stderr": 0.016114124156882455, "mc2": 0.4551491788416383, "mc2_stderr": 0.014826375266749701 }, "harness\|winogrande\|5": { "acc": 0.7308602999210734, "acc_stderr": 0.012464911951268736 }, "harness\|gsm8k\|5": { "acc": 0.11372251705837756, "acc_stderr": 0.008744810131034042 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
open-llm-leaderboard/details_NLUHOPOE__test-case-6	--- pretty_name: Evaluation run of NLUHOPOE/test-case-6 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [NLUHOPOE/test-case-6](https://huggingface.co/NLUHOPOE/test-case-6) on the [Open\ \ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_NLUHOPOE__test-case-6\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-01T01:53:21.380144](https://huggingface.co/datasets/open-llm-leaderboard/details_NLUHOPOE__test-case-6/blob/main/results_2024-03-01T01-53-21.380144.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\": 0.5803688532480622,\n\ \ \"acc_stderr\": 0.03360323649201099,\n \"acc_norm\": 0.5854412322412027,\n\ \ \"acc_norm_stderr\": 0.03430537577014263,\n \"mc1\": 0.3317013463892289,\n\ \ \"mc1_stderr\": 0.016482148810241473,\n \"mc2\": 0.49443365843236614,\n\ \ \"mc2_stderr\": 0.01529725057307427\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.523037542662116,\n \"acc_stderr\": 0.01459587320535827,\n\ \ \"acc_norm\": 0.5733788395904437,\n \"acc_norm_stderr\": 0.014453185592920293\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.5995817566221868,\n\ \ \"acc_stderr\": 0.004889817489739686,\n \"acc_norm\": 0.7885879306910973,\n\ \ \"acc_norm_stderr\": 0.004074754687134535\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.045126085985421296,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.045126085985421296\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.042039210401562783,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.042039210401562783\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6447368421052632,\n \"acc_stderr\": 0.03894734487013316,\n\ \ \"acc_norm\": 0.6447368421052632,\n \"acc_norm_stderr\": 0.03894734487013316\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.56,\n\ \ \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n \ \ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6528301886792452,\n \"acc_stderr\": 0.029300101705549655,\n\ \ \"acc_norm\": 0.6528301886792452,\n \"acc_norm_stderr\": 0.029300101705549655\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6041666666666666,\n\ \ \"acc_stderr\": 0.04089465449325582,\n \"acc_norm\": 0.6041666666666666,\n\ \ \"acc_norm_stderr\": 0.04089465449325582\n },\n \"harness\|hendrycksTest-college_chemistry\|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_computer_science\|5\": {\n \"acc\"\ : 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.48,\n\ \ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\ \ \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5953757225433526,\n\ \ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.5953757225433526,\n\ \ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.048108401480826346,\n\ \ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.048108401480826346\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.67,\n \"acc_stderr\": 0.047258156262526066,\n \"acc_norm\": 0.67,\n\ \ \"acc_norm_stderr\": 0.047258156262526066\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.4765957446808511,\n \"acc_stderr\": 0.03265019475033582,\n\ \ \"acc_norm\": 0.4765957446808511,\n \"acc_norm_stderr\": 0.03265019475033582\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.38596491228070173,\n\ \ \"acc_stderr\": 0.04579639422070435,\n \"acc_norm\": 0.38596491228070173,\n\ \ \"acc_norm_stderr\": 0.04579639422070435\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482758,\n\ \ \"acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482758\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.36772486772486773,\n \"acc_stderr\": 0.024833839825562424,\n \"\ acc_norm\": 0.36772486772486773,\n \"acc_norm_stderr\": 0.024833839825562424\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.40476190476190477,\n\ \ \"acc_stderr\": 0.04390259265377562,\n \"acc_norm\": 0.40476190476190477,\n\ \ \"acc_norm_stderr\": 0.04390259265377562\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\": 0.6225806451612903,\n\ \ \"acc_stderr\": 0.027575960723278246,\n \"acc_norm\": 0.6225806451612903,\n\ \ \"acc_norm_stderr\": 0.027575960723278246\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.42857142857142855,\n \"acc_stderr\": 0.034819048444388045,\n\ \ \"acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.034819048444388045\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.59,\n \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\"\ : 0.59,\n \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7454545454545455,\n \"acc_stderr\": 0.03401506715249039,\n\ \ \"acc_norm\": 0.7454545454545455,\n \"acc_norm_stderr\": 0.03401506715249039\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7626262626262627,\n \"acc_stderr\": 0.030313710538198906,\n \"\ acc_norm\": 0.7626262626262627,\n \"acc_norm_stderr\": 0.030313710538198906\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.7979274611398963,\n \"acc_stderr\": 0.028979089794296732,\n\ \ \"acc_norm\": 0.7979274611398963,\n \"acc_norm_stderr\": 0.028979089794296732\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5846153846153846,\n \"acc_stderr\": 0.02498535492310234,\n \ \ \"acc_norm\": 0.5846153846153846,\n \"acc_norm_stderr\": 0.02498535492310234\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.02882088466625326,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.02882088466625326\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\"\ : 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\ acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7761467889908257,\n \"acc_stderr\": 0.01787121776779024,\n \"\ acc_norm\": 0.7761467889908257,\n \"acc_norm_stderr\": 0.01787121776779024\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.48148148148148145,\n \"acc_stderr\": 0.03407632093854052,\n \"\ acc_norm\": 0.48148148148148145,\n \"acc_norm_stderr\": 0.03407632093854052\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.75,\n \"acc_stderr\": 0.03039153369274154,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.03039153369274154\n },\n \"harness\|hendrycksTest-high_school_world_history\|5\"\ : {\n \"acc\": 0.7763713080168776,\n \"acc_stderr\": 0.027123298205229962,\n\ \ \"acc_norm\": 0.7763713080168776,\n \"acc_norm_stderr\": 0.027123298205229962\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.6717557251908397,\n \"acc_stderr\": 0.04118438565806298,\n\ \ \"acc_norm\": 0.6717557251908397,\n \"acc_norm_stderr\": 0.04118438565806298\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7107438016528925,\n \"acc_stderr\": 0.041391127276354626,\n \"\ acc_norm\": 0.7107438016528925,\n \"acc_norm_stderr\": 0.041391127276354626\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7407407407407407,\n\ \ \"acc_stderr\": 0.04236511258094632,\n \"acc_norm\": 0.7407407407407407,\n\ \ \"acc_norm_stderr\": 0.04236511258094632\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.6932515337423313,\n \"acc_stderr\": 0.036230899157241474,\n\ \ \"acc_norm\": 0.6932515337423313,\n \"acc_norm_stderr\": 0.036230899157241474\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.4732142857142857,\n\ \ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.4732142857142857,\n\ \ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8205128205128205,\n\ \ \"acc_stderr\": 0.02514093595033544,\n \"acc_norm\": 0.8205128205128205,\n\ \ \"acc_norm_stderr\": 0.02514093595033544\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.63,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.7752234993614304,\n\ \ \"acc_stderr\": 0.014927447101937153,\n \"acc_norm\": 0.7752234993614304,\n\ \ \"acc_norm_stderr\": 0.014927447101937153\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6647398843930635,\n \"acc_stderr\": 0.025416003773165555,\n\ \ \"acc_norm\": 0.6647398843930635,\n \"acc_norm_stderr\": 0.025416003773165555\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.24804469273743016,\n\ \ \"acc_stderr\": 0.014444157808261431,\n \"acc_norm\": 0.24804469273743016,\n\ \ \"acc_norm_stderr\": 0.014444157808261431\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6503267973856209,\n \"acc_stderr\": 0.027305308076274695,\n\ \ \"acc_norm\": 0.6503267973856209,\n \"acc_norm_stderr\": 0.027305308076274695\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6430868167202572,\n\ \ \"acc_stderr\": 0.027210420375934016,\n \"acc_norm\": 0.6430868167202572,\n\ \ \"acc_norm_stderr\": 0.027210420375934016\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6450617283950617,\n \"acc_stderr\": 0.02662415247884585,\n\ \ \"acc_norm\": 0.6450617283950617,\n \"acc_norm_stderr\": 0.02662415247884585\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.39361702127659576,\n \"acc_stderr\": 0.02914454478159613,\n \ \ \"acc_norm\": 0.39361702127659576,\n \"acc_norm_stderr\": 0.02914454478159613\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.41264667535853977,\n\ \ \"acc_stderr\": 0.012573836633799008,\n \"acc_norm\": 0.41264667535853977,\n\ \ \"acc_norm_stderr\": 0.012573836633799008\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.5147058823529411,\n \"acc_stderr\": 0.03035969707904612,\n\ \ \"acc_norm\": 0.5147058823529411,\n \"acc_norm_stderr\": 0.03035969707904612\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.5784313725490197,\n \"acc_stderr\": 0.019977422600227477,\n \ \ \"acc_norm\": 0.5784313725490197,\n \"acc_norm_stderr\": 0.019977422600227477\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6454545454545455,\n\ \ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\ \ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.6040816326530613,\n \"acc_stderr\": 0.03130802899065686,\n\ \ \"acc_norm\": 0.6040816326530613,\n \"acc_norm_stderr\": 0.03130802899065686\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.6666666666666666,\n\ \ \"acc_stderr\": 0.033333333333333354,\n \"acc_norm\": 0.6666666666666666,\n\ \ \"acc_norm_stderr\": 0.033333333333333354\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.8,\n \"acc_stderr\": 0.04020151261036846,\n \ \ \"acc_norm\": 0.8,\n \"acc_norm_stderr\": 0.04020151261036846\n },\n\ \ \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5060240963855421,\n\ \ \"acc_stderr\": 0.03892212195333045,\n \"acc_norm\": 0.5060240963855421,\n\ \ \"acc_norm_stderr\": 0.03892212195333045\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.7894736842105263,\n \"acc_stderr\": 0.031267817146631786,\n\ \ \"acc_norm\": 0.7894736842105263,\n \"acc_norm_stderr\": 0.031267817146631786\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.3317013463892289,\n\ \ \"mc1_stderr\": 0.016482148810241473,\n \"mc2\": 0.49443365843236614,\n\ \ \"mc2_stderr\": 0.01529725057307427\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7687450670876085,\n \"acc_stderr\": 0.01185004012485051\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.33206974981046244,\n \ \ \"acc_stderr\": 0.012972465034361867\n }\n}\n```" repo_url: https://huggingface.co/NLUHOPOE/test-case-6 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|arc:challenge\|25_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-03-01T01-53-21.380144.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|gsm8k\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hellaswag\|10_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-01T01-53-21.380144.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-03-01T01-53-21.380144.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '/details_harness\|winogrande\|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-03-01T01-53-21.380144.parquet' - config_name: results data_files: - split: 2024_03_01T01_53_21.380144 path: - results_2024-03-01T01-53-21.380144.parquet - split: latest path: - results_2024-03-01T01-53-21.380144.parquet --- # Dataset Card for Evaluation run of NLUHOPOE/test-case-6 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [NLUHOPOE/test-case-6](https://huggingface.co/NLUHOPOE/test-case-6) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_NLUHOPOE__test-case-6", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-01T01:53:21.380144](https://huggingface.co/datasets/open-llm-leaderboard/details_NLUHOPOE__test-case-6/blob/main/results_2024-03-01T01-53-21.380144.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": 0.5803688532480622, "acc_stderr": 0.03360323649201099, "acc_norm": 0.5854412322412027, "acc_norm_stderr": 0.03430537577014263, "mc1": 0.3317013463892289, "mc1_stderr": 0.016482148810241473, "mc2": 0.49443365843236614, "mc2_stderr": 0.01529725057307427 }, "harness\|arc:challenge\|25": { "acc": 0.523037542662116, "acc_stderr": 0.01459587320535827, "acc_norm": 0.5733788395904437, "acc_norm_stderr": 0.014453185592920293 }, "harness\|hellaswag\|10": { "acc": 0.5995817566221868, "acc_stderr": 0.004889817489739686, "acc_norm": 0.7885879306910973, "acc_norm_stderr": 0.004074754687134535 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.28, "acc_stderr": 0.045126085985421296, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421296 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6148148148148148, "acc_stderr": 0.042039210401562783, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.042039210401562783 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6447368421052632, "acc_stderr": 0.03894734487013316, "acc_norm": 0.6447368421052632, "acc_norm_stderr": 0.03894734487013316 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6528301886792452, "acc_stderr": 0.029300101705549655, "acc_norm": 0.6528301886792452, "acc_norm_stderr": 0.029300101705549655 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6041666666666666, "acc_stderr": 0.04089465449325582, "acc_norm": 0.6041666666666666, "acc_norm_stderr": 0.04089465449325582 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5953757225433526, "acc_stderr": 0.03742461193887248, "acc_norm": 0.5953757225433526, "acc_norm_stderr": 0.03742461193887248 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.37254901960784315, "acc_stderr": 0.048108401480826346, "acc_norm": 0.37254901960784315, "acc_norm_stderr": 0.048108401480826346 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.67, "acc_stderr": 0.047258156262526066, "acc_norm": 0.67, "acc_norm_stderr": 0.047258156262526066 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.4765957446808511, "acc_stderr": 0.03265019475033582, "acc_norm": 0.4765957446808511, "acc_norm_stderr": 0.03265019475033582 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.38596491228070173, "acc_stderr": 0.04579639422070435, "acc_norm": 0.38596491228070173, "acc_norm_stderr": 0.04579639422070435 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482758, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482758 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.36772486772486773, "acc_stderr": 0.024833839825562424, "acc_norm": 0.36772486772486773, "acc_norm_stderr": 0.024833839825562424 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.40476190476190477, "acc_stderr": 0.04390259265377562, "acc_norm": 0.40476190476190477, "acc_norm_stderr": 0.04390259265377562 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.6225806451612903, "acc_stderr": 0.027575960723278246, "acc_norm": 0.6225806451612903, "acc_norm_stderr": 0.027575960723278246 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.42857142857142855, "acc_stderr": 0.034819048444388045, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.034819048444388045 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7454545454545455, "acc_stderr": 0.03401506715249039, "acc_norm": 0.7454545454545455, "acc_norm_stderr": 0.03401506715249039 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7626262626262627, "acc_stderr": 0.030313710538198906, "acc_norm": 0.7626262626262627, "acc_norm_stderr": 0.030313710538198906 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.7979274611398963, "acc_stderr": 0.028979089794296732, "acc_norm": 0.7979274611398963, "acc_norm_stderr": 0.028979089794296732 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5846153846153846, "acc_stderr": 0.02498535492310234, "acc_norm": 0.5846153846153846, "acc_norm_stderr": 0.02498535492310234 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.337037037037037, "acc_stderr": 0.02882088466625326, "acc_norm": 0.337037037037037, "acc_norm_stderr": 0.02882088466625326 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6386554621848739, "acc_stderr": 0.03120469122515002, "acc_norm": 0.6386554621848739, "acc_norm_stderr": 0.03120469122515002 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3443708609271523, "acc_stderr": 0.038796870240733264, "acc_norm": 0.3443708609271523, "acc_norm_stderr": 0.038796870240733264 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7761467889908257, "acc_stderr": 0.01787121776779024, "acc_norm": 0.7761467889908257, "acc_norm_stderr": 0.01787121776779024 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.48148148148148145, "acc_stderr": 0.03407632093854052, "acc_norm": 0.48148148148148145, "acc_norm_stderr": 0.03407632093854052 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.75, "acc_stderr": 0.03039153369274154, "acc_norm": 0.75, "acc_norm_stderr": 0.03039153369274154 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7763713080168776, "acc_stderr": 0.027123298205229962, "acc_norm": 0.7763713080168776, "acc_norm_stderr": 0.027123298205229962 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.6717557251908397, "acc_stderr": 0.04118438565806298, "acc_norm": 0.6717557251908397, "acc_norm_stderr": 0.04118438565806298 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7107438016528925, "acc_stderr": 0.041391127276354626, "acc_norm": 0.7107438016528925, "acc_norm_stderr": 0.041391127276354626 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7407407407407407, "acc_stderr": 0.04236511258094632, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.04236511258094632 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.6932515337423313, "acc_stderr": 0.036230899157241474, "acc_norm": 0.6932515337423313, "acc_norm_stderr": 0.036230899157241474 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.4732142857142857, "acc_stderr": 0.047389751192741546, "acc_norm": 0.4732142857142857, "acc_norm_stderr": 0.047389751192741546 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8205128205128205, "acc_stderr": 0.02514093595033544, "acc_norm": 0.8205128205128205, "acc_norm_stderr": 0.02514093595033544 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7752234993614304, "acc_stderr": 0.014927447101937153, "acc_norm": 0.7752234993614304, "acc_norm_stderr": 0.014927447101937153 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6647398843930635, "acc_stderr": 0.025416003773165555, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.025416003773165555 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.24804469273743016, "acc_stderr": 0.014444157808261431, "acc_norm": 0.24804469273743016, "acc_norm_stderr": 0.014444157808261431 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6503267973856209, "acc_stderr": 0.027305308076274695, "acc_norm": 0.6503267973856209, "acc_norm_stderr": 0.027305308076274695 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6430868167202572, "acc_stderr": 0.027210420375934016, "acc_norm": 0.6430868167202572, "acc_norm_stderr": 0.027210420375934016 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6450617283950617, "acc_stderr": 0.02662415247884585, "acc_norm": 0.6450617283950617, "acc_norm_stderr": 0.02662415247884585 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.39361702127659576, "acc_stderr": 0.02914454478159613, "acc_norm": 0.39361702127659576, "acc_norm_stderr": 0.02914454478159613 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.41264667535853977, "acc_stderr": 0.012573836633799008, "acc_norm": 0.41264667535853977, "acc_norm_stderr": 0.012573836633799008 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.5147058823529411, "acc_stderr": 0.03035969707904612, "acc_norm": 0.5147058823529411, "acc_norm_stderr": 0.03035969707904612 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.5784313725490197, "acc_stderr": 0.019977422600227477, "acc_norm": 0.5784313725490197, "acc_norm_stderr": 0.019977422600227477 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6454545454545455, "acc_stderr": 0.045820048415054174, "acc_norm": 0.6454545454545455, "acc_norm_stderr": 0.045820048415054174 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.6040816326530613, "acc_stderr": 0.03130802899065686, "acc_norm": 0.6040816326530613, "acc_norm_stderr": 0.03130802899065686 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.6666666666666666, "acc_stderr": 0.033333333333333354, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.033333333333333354 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.8, "acc_stderr": 0.04020151261036846, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036846 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5060240963855421, "acc_stderr": 0.03892212195333045, "acc_norm": 0.5060240963855421, "acc_norm_stderr": 0.03892212195333045 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.7894736842105263, "acc_stderr": 0.031267817146631786, "acc_norm": 0.7894736842105263, "acc_norm_stderr": 0.031267817146631786 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.3317013463892289, "mc1_stderr": 0.016482148810241473, "mc2": 0.49443365843236614, "mc2_stderr": 0.01529725057307427 }, "harness\|winogrande\|5": { "acc": 0.7687450670876085, "acc_stderr": 0.01185004012485051 }, "harness\|gsm8k\|5": { "acc": 0.33206974981046244, "acc_stderr": 0.012972465034361867 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
SuryaKrishna02/aya-telugu-food-recipes	--- annotations_creators: - expert-generated language: - te language_creators: - expert-generated license: - apache-2.0 multilinguality: - monolingual pretty_name: Telugu Food Recipes size_categories: - n<1K source_datasets: - original tags: - food - recipes task_categories: - text-generation task_ids: - language-modeling --- # Summary `aya-telugu-food-recipes` is an open source dataset of instruct-style records generated by webscraping a Telugu food recipes website. This was created as part of [Aya Open Science Initiative](https://sites.google.com/cohere.com/aya-en/home) from Cohere For AI. This dataset can be used for any purpose, whether academic or commercial, under the terms of the [Apache 2.0](https://opensource.org/license/apache-2-0) License. Supported Tasks: - Training LLMs - Synthetic Data Generation - Data Augmentation Languages: Telugu Version: 1.0 # Dataset Overview `aya-telugu-food-recipes` is a corpus of more than 400 records generated by webscraping of the Telugu Food Recipes Website. This Dataset can be used for the following task: - Given the name of the food item, generates the detailed recipe along with the ingredients. # Intended Uses While immediately valuable for instruction fine tuning large language models, as a corpus of instruction prompts, this dataset also presents a valuable opportunity for synthetic data generation in the methods. For example, prompt-completions could be submitted as few-shot examples to a large open language model to generate additional food recipes. # Dataset ## Load with Datasets To load this dataset with Datasets, you'll just need to install Datasets as `pip install datasets --upgrade` and then use the following code: ```python from datasets import load_dataset ds = load_dataset('SuryaKrishna02/aya-telugu-food-recipes') ``` ## Purpose of Collection Telugu is a low-resource language where there no food recipes instruct-style dataset to the best of my knowledge. This was created as a part of [Aya Open Science Initiative](https://sites.google.com/cohere.com/aya-en/home) from Cohere For AI to make sure Telugu is well represented in the space of AI/ML. Unlike other datasets that are limited to non-commercial use, this dataset can be used, modified, and extended for any purpose, including academic or commercial applications. ## Sources - Andhrajyothi Website: Performed webscraping from [Andhrajyothi Website](https://www.andhrajyothy.com/vantalu) which is a famous telugu website consisting of food recipes in the following categories: 1. తీపి వంటలు 2. పచ్చళ్లు 3. శాకాహారం 4. మాంసాహారం - Next, performed some pre-processing of the data like removing unwanted characters, extracting ingredients and cooking instructions seperately from the scraped data. Finally, converted the scraped data into Instruct-style prompts and completions. ## Data Fields - `inputs` : Prompt or input to the language model. - `targets` : Completion or output of the language model. - `template_id` : Id of the template used in `inputs` and `targets`. - `template_lang`: ISO code of the language used in the `inputs` and `targets` where tel refers to Telugu. ## Templates For the creation of instruct-style prompts and completions from the scraped data, the following one template category with 7 different templates were used: 1. Given the name of the food item, generates the detailed recipe along with the ingredients. \| template_id \| inputs \| targets \| \|-------------\|--------\|---------\| \| 1 \| ```{{Food Item}} ఎలా తయారు చేస్తారో క్లుప్తంగా ఇవ్వండి.``` \| ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` \| \| 2 \| ```మీరు {{Food Item}} తయారు చెయ్యడానికి ఎటువంటి తిండి పదార్ధాలు వాడుతురు మరియు ఏ విధముగా చేస్తారో వివరణ ఇవ్వండి.``` \| ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` \| \| 3 \| ```నేను {{Food Item}} చాలా రుచికరంగా ఉంటుంది అని విన్నాను. నాకు ఇది ఎలా చెయ్యాలో సంక్లిప్తంగా చెప్పు.``` \| ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` \| \| 4 \| ```మొదటిసారి వంట చేసేవారికి చెప్పినట్టు నాకు {{Food Item}} ఎలా చెయ్యాలొ చెప్పు``` \| ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` \| \| 5 \| ```{{Food Item}} ఎలా చేయాలి? సమాధానం లో కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఉండాలి.``` \| ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` \| \| 6 \| ```{{Food Item}} ఎలా తయారు చేస్తాం?``` \| ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` \| \| 7 \| ```{{Food Item}} రెసిపీ ఏంటి?``` \| ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` \| ## Personal or Sensitive Data This dataset contains public information. To our knowledge, there are no private person’s personal identifiers or sensitive information. ## Language Telugu # Known Limitations - The Dataset is scraped from the food recipes website and the contents of this dataset may reflect the bias. - Although there is utmost care taken to keep the dataset as monolingual, there might be some records that may contain English Language along with Telugu. # Contributors [SuryaKrishna02](https://github.com/SuryaKrishna02) and [Desik98](https://github.com/desik1998)
joey234/mmlu-human_sexuality-verbal-neg-prepend	--- dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: neg_prompt dtype: string splits: - name: test num_bytes: 49813 num_examples: 131 download_size: 34784 dataset_size: 49813 --- # Dataset Card for "mmlu-human_sexuality-verbal-neg-prepend" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Salesforce/cloudops_tsf	--- license: cc-by-4.0 task_categories: - time-series-forecasting pretty_name: cloud size_categories: - 100M<n<1B --- # Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain [Paper](https://arxiv.org/abs/2310.05063) \| [Code](https://github.com/SalesforceAIResearch/pretrain-time-series-cloudops) Datasets accompanying the paper "Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain". ## Quick Start ### azure_vm_traces_2017 ```python from datasets import load_dataset dataset = load_dataset('Salesforce/cloudops_tsf', 'azure_vm_traces_2017') print(dataset) DatasetDict({ train_test: Dataset({ features: ['start', 'target', 'item_id', 'feat_static_cat', 'feat_static_real', 'past_feat_dynamic_real'], num_rows: 17568 }) pretrain: Dataset({ features: ['start', 'target', 'item_id', 'feat_static_cat', 'feat_static_real', 'past_feat_dynamic_real'], num_rows: 159472 }) }) ``` ### borg_cluster_data_2011 ```python dataset = load_dataset('Salesforce/cloudops_tsf', 'borg_cluster_data_2011') print(dataset) DatasetDict({ train_test: Dataset({ features: ['start', 'target', 'item_id', 'feat_static_cat', 'past_feat_dynamic_real'], num_rows: 11117 }) pretrain: Dataset({ features: ['start', 'target', 'item_id', 'feat_static_cat', 'past_feat_dynamic_real'], num_rows: 143386 }) }) ``` ### alibaba_cluster_trace_2018 ```python dataset = load_dataset('Salesforce/cloudops_tsf', 'alibaba_cluster_trace_2018') print(dataset) DatasetDict({ train_test: Dataset({ features: ['start', 'target', 'item_id', 'feat_static_cat', 'past_feat_dynamic_real'], num_rows: 6048 }) pretrain: Dataset({ features: ['start', 'target', 'item_id', 'feat_static_cat', 'past_feat_dynamic_real'], num_rows: 58409 }) }) ``` ## Dataset Config ```python from datasets import load_dataset_builder config = load_dataset_builder('Salesforce/cloudops_tsf', 'azure_vm_traces_2017').config print(config) CloudOpsTSFConfig( name='azure_vm_traces_2017', version=1.0.0, data_dir=None, data_files=None, description='', prediction_length=48, freq='5T', stride=48, univariate=True, multivariate=False, optional_fields=( 'feat_static_cat', 'feat_static_real', 'past_feat_dynamic_real' ), rolling_evaluations=12, test_split_date=Period('2016-12-13 15:55', '5T'), _feat_static_cat_cardinalities={ 'pretrain': ( ('vm_id', 177040), ('subscription_id', 5514), ('deployment_id', 15208), ('vm_category', 3) ), 'train_test': ( ('vm_id', 17568), ('subscription_id', 2713), ('deployment_id', 3255), ('vm_category', 3) ) }, target_dim=1, feat_static_real_dim=3, past_feat_dynamic_real_dim=2 ) ``` ```test_split_date``` is provided to achieve the same train-test split as given in the paper. This is essentially the date/time of ```rolling_evaluations * prediction_length``` time steps before the last time step in the dataset. Note that the pre-training dataset includes the test region, and thus should also be filtered before usage. ## Acknowledgements The datasets were processed from the following original sources. Please cite the original sources if you use the datasets. * Azure VM Traces 2017 * Bianchini. Resource central: Understanding and predicting workloads for improved resource management in large cloud platforms. In Proceedings of the 26th Symposium on Operating Systems Principles, pp. 153–167, 2017. * https://github.com/Azure/AzurePublicDataset * Borg Cluster Data 2011 * John Wilkes. More Google cluster data. Google research blog, November 2011. Posted at http://googleresearch.blogspot.com/2011/11/more-google-cluster-data.html. * https://github.com/google/cluster-data * Alibaba Cluster Trace 2018 * Jing Guo, Zihao Chang, Sa Wang, Haiyang Ding, Yihui Feng, Liang Mao, and Yungang Bao. Who limits the resource efficiency of my datacenter: An analysis of alibaba datacenter traces. In Proceedings of the International Symposium on Quality of Service, pp. 1–10, 2019. * https://github.com/alibaba/clusterdata ## Citation <pre> @article{woo2023pushing, title={Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain}, author={Woo, Gerald and Liu, Chenghao and Kumar, Akshat and Sahoo, Doyen}, journal={arXiv preprint arXiv:2310.05063}, year={2023} } </pre>
Xiao215/pixiv-image-with-caption	--- title: "Pixiv Daily Trending Illusions Dataset" language: - "en" license: - "unknown" # Since the exact terms for redistributed scraped content are unclear multilinguality: - "monolingual" size_categories: - "100<n<1K" # This dataset contains 949 images source_datasets: - "extended\|other-Pixiv" # Indicating that this dataset extends from or is based on Pixiv task_categories: - "image-to-text" - "text-to-image" task_ids: - "image-captioning" annotations_creators: - "machine-generated" --- # Dataset Card for Pixiv Daily Trending Illusions Dataset Note, this dataset contains copyright issue, and is displayed for fun personal project only. Do not use it. ## Table of Contents - [Dataset Description](#dataset-description) - [Access](#access) - [Dataset Structure](#dataset-structure) - [Usage](#usage) - [Acknowledgements](#acknowledgements) - [Licensing](#licensing) ## Dataset Description - Homepage: [Pixiv Daily Trending Illusions](https://www.pixiv.net/discovery?mode=safe) - Repository: [HuggingFace Dataset](https://huggingface.co/datasets/Xiao215/pixiv-image-with-caption) - Paper: N/A - Leaderboard: N/A ### Dataset Summary This dataset comprises 949 images scrapped from Pixiv's daily trend, specifically curated to include only illustrations that are illusions and suitable for all ages. Each image in the dataset is accompanied by a caption generated by the LLaVa model, providing a descriptive or interpretive text element for the visual content. ### Languages Captions are generated in [Language(s)], as processed by the LLaVa model on HuggingFace. ## Access The dataset can be accessed through the HuggingFace `datasets` library using the following code snippet: ```python from datasets import load_dataset dataset = load_dataset("Xiao215/pixiv-image-with-caption") ``` ## Dataset Structure ### Data Instances A data instance in this dataset comprises the following fields: - `image_name`: a `string` representing the filename of the image, following the pattern `pixiv{image_id}.png`. - `caption`: a `string` generated by the LLaVa model, describing or interpreting the image. Example: ```python { "image_name": "pixiv100028371.png", "caption": "A mesmerizing pattern that appears to swirl endlessly." } ``` ### Data Splits This dataset is provided in a single split: - The `all` split contains all 949 images and their corresponding captions. ## Usage This dataset can be used for tasks such as image captioning, visual understanding, and training models to generate descriptive texts for abstract visual content. Here's an example of how to load and use the dataset: from datasets import load_dataset # Example usage ```python from datasets import load_dataset dataset = load_dataset("Xiao215/pixiv-image-with-caption") for sample in dataset['all']: print(sample['image_name'], sample['caption']) ``` ## Usage with cache ```python from datasets import load_dataset # Specify the path where you want to cache the dataset cache_dir = "/path/to/your/desired/cache/directory" # Load the dataset and specify the cache directory dataset = load_dataset("Xiao215/pixiv-image-with-caption", cache_dir=cache_dir) ``` ## Acknowledgements This dataset was collected from [Pixiv](https://www.pixiv.net/discovery?mode=safe), with captions generated by the [LLaVa model](https://huggingface.co/docs/transformers/en/model_doc/llava) on HuggingFace. ## Licensing Please review Pixiv's terms of use and licensing information to ensure compliance when using this dataset. The use of the LLaVa model for generating captions is subject to the terms and conditions provided by HuggingFace and the model's authors.
open-llm-leaderboard/details_jondurbin__airocoder-34b-2.1	--- pretty_name: Evaluation run of jondurbin/airocoder-34b-2.1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [jondurbin/airocoder-34b-2.1](https://huggingface.co/jondurbin/airocoder-34b-2.1)\ \ 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_jondurbin__airocoder-34b-2.1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-28T17:47:22.739718](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__airocoder-34b-2.1/blob/main/results_2023-10-28T17-47-22.739718.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\": 0.31669463087248323,\n\ \ \"em_stderr\": 0.004763952451764173,\n \"f1\": 0.3681816275167802,\n\ \ \"f1_stderr\": 0.0047033328815527095,\n \"acc\": 0.3913430865625522,\n\ \ \"acc_stderr\": 0.010251830385905714\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.31669463087248323,\n \"em_stderr\": 0.004763952451764173,\n\ \ \"f1\": 0.3681816275167802,\n \"f1_stderr\": 0.0047033328815527095\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.08339651250947688,\n \ \ \"acc_stderr\": 0.007615650277106696\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.6992896606156275,\n \"acc_stderr\": 0.01288801049470473\n\ \ }\n}\n```" repo_url: https://huggingface.co/jondurbin/airocoder-34b-2.1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|arc:challenge\|25_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-11T21-47-37.298626.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_28T17_47_22.739718 path: - '/details_harness\|drop\|3_2023-10-28T17-47-22.739718.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-28T17-47-22.739718.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_28T17_47_22.739718 path: - '/details_harness\|gsm8k\|5_2023-10-28T17-47-22.739718.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-28T17-47-22.739718.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hellaswag\|10_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-11T21-47-37.298626.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_11T21_47_37.298626 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-11T21-47-37.298626.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_28T17_47_22.739718 path: - '/details_harness\|winogrande\|5_2023-10-28T17-47-22.739718.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-28T17-47-22.739718.parquet' - config_name: results data_files: - split: 2023_09_11T21_47_37.298626 path: - results_2023-09-11T21-47-37.298626.parquet - split: 2023_10_28T17_47_22.739718 path: - results_2023-10-28T17-47-22.739718.parquet - split: latest path: - results_2023-10-28T17-47-22.739718.parquet --- # Dataset Card for Evaluation run of jondurbin/airocoder-34b-2.1 ## Dataset Description - Homepage: - Repository: https://huggingface.co/jondurbin/airocoder-34b-2.1 - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [jondurbin/airocoder-34b-2.1](https://huggingface.co/jondurbin/airocoder-34b-2.1) 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_jondurbin__airocoder-34b-2.1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-28T17:47:22.739718](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__airocoder-34b-2.1/blob/main/results_2023-10-28T17-47-22.739718.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": 0.31669463087248323, "em_stderr": 0.004763952451764173, "f1": 0.3681816275167802, "f1_stderr": 0.0047033328815527095, "acc": 0.3913430865625522, "acc_stderr": 0.010251830385905714 }, "harness\|drop\|3": { "em": 0.31669463087248323, "em_stderr": 0.004763952451764173, "f1": 0.3681816275167802, "f1_stderr": 0.0047033328815527095 }, "harness\|gsm8k\|5": { "acc": 0.08339651250947688, "acc_stderr": 0.007615650277106696 }, "harness\|winogrande\|5": { "acc": 0.6992896606156275, "acc_stderr": 0.01288801049470473 } } ``` ### 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]
foji111/zakirkhan	--- license: afl-3.0 ---
james-burton/fake_job_postings2_all_text	--- dataset_info: features: - name: title dtype: string - name: salary_range dtype: string - name: description dtype: string - name: required_experience dtype: string - name: required_education dtype: string - name: fraudulent dtype: int64 splits: - name: train num_bytes: 14698550 num_examples: 10816 - name: validation num_bytes: 2500568 num_examples: 1909 - name: test num_bytes: 4379198 num_examples: 3182 download_size: 0 dataset_size: 21578316 --- # Dataset Card for "fake_job_postings2_all_text" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
lucapantea/fact-ai	--- license: mit ---
ChanceFocus/flare-es-instruction-tuning	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* dataset_info: features: - name: id dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 41354500 num_examples: 14851 - name: valid num_bytes: 6718150 num_examples: 2226 download_size: 23259291 dataset_size: 48072650 --- # Dataset Card for "flare-es-instruction-tuning" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mask-distilled-one-sec-cv12/chunk_185	--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 742922800 num_examples: 145900 download_size: 756705575 dataset_size: 742922800 --- # Dataset Card for "chunk_185" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
hbamoba/openassistant-guanaco-mistral	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 15736333 num_examples: 9846 download_size: 9174838 dataset_size: 15736333 configs: - config_name: default data_files: - split: train path: data/train-* license: apache-2.0 --- This dataset is a modified version of the openassistant-guanaco dataset [1], which is a subset of the Open Assistant dataset [2] References * [1] https://huggingface.co/datasets/timdettmers/openassistant-guanaco * [2] https://huggingface.co/datasets/OpenAssistant/oasst1/tree/main * [3] https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1 The openassistant-guanaco dataset subset of the data only contains the highest-rated paths in the conversation tree from the Open Assistant dataset, with a total of 9,846 samples. This dataset is processed to match Mistral-7B-Instruct-v0.1's prompt format as described in [3] For further information, please see the original dataset. License: Apache 2.0 --- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 15736333 num_examples: 9846 download_size: 9174838 dataset_size: 15736333 configs: - config_name: default data_files: - split: train path: data/train-* ---
Asimok/KGLQA-LangChain-RACE	--- license: apache-2.0 ---
HusnaManakkot/haispider	--- license: cc-by-4.0 task_categories: - text2text-generation language: - en tags: - text-to-sql pretty_name: new spider data updated size_categories: - 1K<n<10K --- # Dataset Card for Spider Table of Contents Dataset Description Dataset Summary Supported Tasks and Leaderboards Languages Dataset Structure Data Instances Data Fields Data Splits Dataset Creation Curation Rationale Source Data Annotations Personal and Sensitive Information Considerations for Using the Data Social Impact of Dataset Discussion of Biases Other Known Limitations Additional Information Dataset Curators Licensing Information Citation Information Contributions Dataset Description Homepage: https://yale-lily.github.io/spider Repository: https://github.com/taoyds/spider Paper: https://www.aclweb.org/anthology/D18-1425/ Point of Contact: Yale LILY Dataset Summary Spider is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases Supported Tasks and Leaderboards The leaderboard can be seen at https://yale-lily.github.io/spider Languages The text in the dataset is in English. Dataset Structure Data Instances What do the instances that comprise the dataset represent? Each instance is natural language question and the equivalent SQL query How many instances are there in total? What data does each instance consist of? [More Information Needed] Data Fields db_id: Database name question: Natural language to interpret into SQL query: Target SQL query query_toks: List of tokens for the query query_toks_no_value: List of tokens for the query question_toks: List of tokens for the question Data Splits train: 7000 questions and SQL query pairs dev: 1034 question and SQL query pairs [More Information Needed] Dataset Creation Curation Rationale [More Information Needed] Source Data Initial Data Collection and Normalization Who are the source language producers? [More Information Needed] Annotations The dataset was annotated by 11 college students at Yale University Annotation process Who are the annotators? Personal and Sensitive Information [More Information Needed] Considerations for Using the Data Social Impact of Dataset Discussion of Biases [More Information Needed] Other Known Limitations Additional Information The listed authors in the homepage are maintaining/supporting the dataset. Dataset Curators [More Information Needed] Licensing Information The spider dataset is licensed under the CC BY-SA 4.0 [More Information Needed] Citation Information @article{yu2018spider, title={Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task}, author={Yu, Tao and Zhang, Rui and Yang, Kai and Yasunaga, Michihiro and Wang, Dongxu and Li, Zifan and Ma, James and Li, Irene and Yao, Qingning and Roman, Shanelle and others}, journal={arXiv preprint arXiv:1809.08887}, year={2018} }
hennyferreira/hennyferreiravoice	--- license: openrail ---
kamilakesbi/ami_spd_augmented_test2	--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: speakers sequence: string - name: timestamps_start sequence: float64 - name: timestamps_end sequence: float64 splits: - name: train num_bytes: 8978099075.0 num_examples: 4120 - name: validation num_bytes: 978997266.0 num_examples: 459 - name: test num_bytes: 933737868.0 num_examples: 432 download_size: 10482379450 dataset_size: 10890834209.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

um-ids/dailymed-annotations

--- license: cc-by-4.0 --- 1. Dailymed prescription indications

open-llm-leaderboard/details_synapsoft__Llama-2-7b-hf-flan2022-1.2M

--- pretty_name: Evaluation run of synapsoft/Llama-2-7b-hf-flan2022-1.2M dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [synapsoft/Llama-2-7b-hf-flan2022-1.2M](https://huggingface.co/synapsoft/Llama-2-7b-hf-flan2022-1.2M)\ \ 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_synapsoft__Llama-2-7b-hf-flan2022-1.2M\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-13T06:59:34.296378](https://huggingface.co/datasets/open-llm-leaderboard/details_synapsoft__Llama-2-7b-hf-flan2022-1.2M/blob/main/results_2023-10-13T06-59-34.296378.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\": 0.25870385906040266,\n\ \ \"em_stderr\": 0.004484736946763185,\n \"f1\": 0.2965908137583894,\n\ \ \"f1_stderr\": 0.004480084563201026,\n \"acc\": 0.40002920104621126,\n\ \ \"acc_stderr\": 0.008888005892783395\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.25870385906040266,\n \"em_stderr\": 0.004484736946763185,\n\ \ \"f1\": 0.2965908137583894,\n \"f1_stderr\": 0.004480084563201026\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.04473085670962851,\n \ \ \"acc_stderr\": 0.005693886131407052\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.755327545382794,\n \"acc_stderr\": 0.012082125654159738\n\ \ }\n}\n```" repo_url: https://huggingface.co/synapsoft/Llama-2-7b-hf-flan2022-1.2M leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|arc:challenge|25_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-08-29T11:38:40.621041.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_13T06_59_34.296378 path: - '**/details_harness|drop|3_2023-10-13T06-59-34.296378.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-13T06-59-34.296378.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_13T06_59_34.296378 path: - '**/details_harness|gsm8k|5_2023-10-13T06-59-34.296378.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-13T06-59-34.296378.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hellaswag|10_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-29T11:38:40.621041.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-management|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-29T11:38:40.621041.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_29T11_38_40.621041 path: - '**/details_harness|truthfulqa:mc|0_2023-08-29T11:38:40.621041.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-08-29T11:38:40.621041.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_13T06_59_34.296378 path: - '**/details_harness|winogrande|5_2023-10-13T06-59-34.296378.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-13T06-59-34.296378.parquet' - config_name: results data_files: - split: 2023_08_29T11_38_40.621041 path: - results_2023-08-29T11:38:40.621041.parquet - split: 2023_10_13T06_59_34.296378 path: - results_2023-10-13T06-59-34.296378.parquet - split: latest path: - results_2023-10-13T06-59-34.296378.parquet --- # Dataset Card for Evaluation run of synapsoft/Llama-2-7b-hf-flan2022-1.2M ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/synapsoft/Llama-2-7b-hf-flan2022-1.2M - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [synapsoft/Llama-2-7b-hf-flan2022-1.2M](https://huggingface.co/synapsoft/Llama-2-7b-hf-flan2022-1.2M) 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_synapsoft__Llama-2-7b-hf-flan2022-1.2M", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-13T06:59:34.296378](https://huggingface.co/datasets/open-llm-leaderboard/details_synapsoft__Llama-2-7b-hf-flan2022-1.2M/blob/main/results_2023-10-13T06-59-34.296378.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": 0.25870385906040266, "em_stderr": 0.004484736946763185, "f1": 0.2965908137583894, "f1_stderr": 0.004480084563201026, "acc": 0.40002920104621126, "acc_stderr": 0.008888005892783395 }, "harness|drop|3": { "em": 0.25870385906040266, "em_stderr": 0.004484736946763185, "f1": 0.2965908137583894, "f1_stderr": 0.004480084563201026 }, "harness|gsm8k|5": { "acc": 0.04473085670962851, "acc_stderr": 0.005693886131407052 }, "harness|winogrande|5": { "acc": 0.755327545382794, "acc_stderr": 0.012082125654159738 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]

open-llm-leaderboard/details_Qwen__Qwen2-beta-72B

--- pretty_name: Evaluation run of Qwen/Qwen2-beta-72B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Qwen/Qwen2-beta-72B](https://huggingface.co/Qwen/Qwen2-beta-72B) on the [Open\ \ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Qwen__Qwen2-beta-72B_private\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-29T23:47:04.571636](https://huggingface.co/datasets/open-llm-leaderboard/details_Qwen__Qwen2-beta-72B_private/blob/main/results_2024-01-29T23-47-04.571636.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\": 0.7669743429877653,\n\ \ \"acc_stderr\": 0.027971495069922473,\n \"acc_norm\": 0.7715834368806984,\n\ \ \"acc_norm_stderr\": 0.028493498109494097,\n \"mc1\": 0.412484700122399,\n\ \ \"mc1_stderr\": 0.017233299399571227,\n \"mc2\": 0.596080564321232,\n\ \ \"mc2_stderr\": 0.01451800985281567\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6262798634812287,\n \"acc_stderr\": 0.014137708601759095,\n\ \ \"acc_norm\": 0.658703071672355,\n \"acc_norm_stderr\": 0.01385583128749773\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6666998605855408,\n\ \ \"acc_stderr\": 0.004704293898729911,\n \"acc_norm\": 0.8598884684325832,\n\ \ \"acc_norm_stderr\": 0.003463933286063887\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.7185185185185186,\n\ \ \"acc_stderr\": 0.038850042458002526,\n \"acc_norm\": 0.7185185185185186,\n\ \ \"acc_norm_stderr\": 0.038850042458002526\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.8881578947368421,\n \"acc_stderr\": 0.02564834125169361,\n\ \ \"acc_norm\": 0.8881578947368421,\n \"acc_norm_stderr\": 0.02564834125169361\n\ \ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\ : {\n \"acc\": 0.8226415094339623,\n \"acc_stderr\": 0.023508739218846938,\n\ \ \"acc_norm\": 0.8226415094339623,\n \"acc_norm_stderr\": 0.023508739218846938\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.9027777777777778,\n\ \ \"acc_stderr\": 0.024774516250440175,\n \"acc_norm\": 0.9027777777777778,\n\ \ \"acc_norm_stderr\": 0.024774516250440175\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.64,\n \"acc_stderr\": 0.048241815132442176,\n \"acc_norm\"\ : 0.64,\n \"acc_norm_stderr\": 0.048241815132442176\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \ \ \"acc_norm\": 0.54,\n \"acc_norm_stderr\": 0.05009082659620332\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.7630057803468208,\n\ \ \"acc_stderr\": 0.032424147574830975,\n \"acc_norm\": 0.7630057803468208,\n\ \ \"acc_norm_stderr\": 0.032424147574830975\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.5490196078431373,\n \"acc_stderr\": 0.049512182523962604,\n\ \ \"acc_norm\": 0.5490196078431373,\n \"acc_norm_stderr\": 0.049512182523962604\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \"acc_norm\": 0.84,\n\ \ \"acc_norm_stderr\": 0.03684529491774709\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.8085106382978723,\n \"acc_stderr\": 0.025722149992637798,\n\ \ \"acc_norm\": 0.8085106382978723,\n \"acc_norm_stderr\": 0.025722149992637798\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5877192982456141,\n\ \ \"acc_stderr\": 0.046306532033665956,\n \"acc_norm\": 0.5877192982456141,\n\ \ \"acc_norm_stderr\": 0.046306532033665956\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.7862068965517242,\n \"acc_stderr\": 0.03416520447747549,\n\ \ \"acc_norm\": 0.7862068965517242,\n \"acc_norm_stderr\": 0.03416520447747549\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.6984126984126984,\n \"acc_stderr\": 0.0236369759961018,\n \"acc_norm\"\ : 0.6984126984126984,\n \"acc_norm_stderr\": 0.0236369759961018\n },\n\ \ \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5793650793650794,\n\ \ \"acc_stderr\": 0.04415438226743745,\n \"acc_norm\": 0.5793650793650794,\n\ \ \"acc_norm_stderr\": 0.04415438226743745\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956911,\n \ \ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956911\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.8838709677419355,\n\ \ \"acc_stderr\": 0.018225757949432306,\n \"acc_norm\": 0.8838709677419355,\n\ \ \"acc_norm_stderr\": 0.018225757949432306\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.6600985221674877,\n \"acc_stderr\": 0.033327690684107895,\n\ \ \"acc_norm\": 0.6600985221674877,\n \"acc_norm_stderr\": 0.033327690684107895\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774707,\n \"acc_norm\"\ : 0.84,\n \"acc_norm_stderr\": 0.03684529491774707\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\"\ : 0.9292929292929293,\n \"acc_stderr\": 0.0182631054201995,\n \"acc_norm\"\ : 0.9292929292929293,\n \"acc_norm_stderr\": 0.0182631054201995\n },\n\ \ \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \ \ \"acc\": 0.9896373056994818,\n \"acc_stderr\": 0.007308424386792194,\n\ \ \"acc_norm\": 0.9896373056994818,\n \"acc_norm_stderr\": 0.007308424386792194\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.8153846153846154,\n \"acc_stderr\": 0.01967163241310029,\n \ \ \"acc_norm\": 0.8153846153846154,\n \"acc_norm_stderr\": 0.01967163241310029\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.4925925925925926,\n \"acc_stderr\": 0.030482192395191506,\n \ \ \"acc_norm\": 0.4925925925925926,\n \"acc_norm_stderr\": 0.030482192395191506\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.8361344537815126,\n \"acc_stderr\": 0.024044054940440488,\n\ \ \"acc_norm\": 0.8361344537815126,\n \"acc_norm_stderr\": 0.024044054940440488\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.5761589403973509,\n \"acc_stderr\": 0.04034846678603396,\n \"\ acc_norm\": 0.5761589403973509,\n \"acc_norm_stderr\": 0.04034846678603396\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.9302752293577982,\n \"acc_stderr\": 0.01091942641184862,\n \"\ acc_norm\": 0.9302752293577982,\n \"acc_norm_stderr\": 0.01091942641184862\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.6851851851851852,\n \"acc_stderr\": 0.0316746870682898,\n \"acc_norm\"\ : 0.6851851851851852,\n \"acc_norm_stderr\": 0.0316746870682898\n },\n\ \ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.9313725490196079,\n\ \ \"acc_stderr\": 0.017744453647073322,\n \"acc_norm\": 0.9313725490196079,\n\ \ \"acc_norm_stderr\": 0.017744453647073322\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\ : {\n \"acc\": 0.9029535864978903,\n \"acc_stderr\": 0.019269323025640273,\n\ \ \"acc_norm\": 0.9029535864978903,\n \"acc_norm_stderr\": 0.019269323025640273\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7937219730941704,\n\ \ \"acc_stderr\": 0.02715715047956382,\n \"acc_norm\": 0.7937219730941704,\n\ \ \"acc_norm_stderr\": 0.02715715047956382\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8778625954198473,\n \"acc_stderr\": 0.02871877688934232,\n\ \ \"acc_norm\": 0.8778625954198473,\n \"acc_norm_stderr\": 0.02871877688934232\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.9090909090909091,\n \"acc_stderr\": 0.026243194054073892,\n \"\ acc_norm\": 0.9090909090909091,\n \"acc_norm_stderr\": 0.026243194054073892\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8518518518518519,\n\ \ \"acc_stderr\": 0.03434300243630999,\n \"acc_norm\": 0.8518518518518519,\n\ \ \"acc_norm_stderr\": 0.03434300243630999\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.8711656441717791,\n \"acc_stderr\": 0.02632138319878367,\n\ \ \"acc_norm\": 0.8711656441717791,\n \"acc_norm_stderr\": 0.02632138319878367\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.6517857142857143,\n\ \ \"acc_stderr\": 0.04521829902833585,\n \"acc_norm\": 0.6517857142857143,\n\ \ \"acc_norm_stderr\": 0.04521829902833585\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8737864077669902,\n \"acc_stderr\": 0.03288180278808628,\n\ \ \"acc_norm\": 0.8737864077669902,\n \"acc_norm_stderr\": 0.03288180278808628\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9401709401709402,\n\ \ \"acc_stderr\": 0.015537514263253874,\n \"acc_norm\": 0.9401709401709402,\n\ \ \"acc_norm_stderr\": 0.015537514263253874\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.035887028128263734,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.035887028128263734\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.9157088122605364,\n\ \ \"acc_stderr\": 0.009934966499513786,\n \"acc_norm\": 0.9157088122605364,\n\ \ \"acc_norm_stderr\": 0.009934966499513786\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.8352601156069365,\n \"acc_stderr\": 0.019971040982442265,\n\ \ \"acc_norm\": 0.8352601156069365,\n \"acc_norm_stderr\": 0.019971040982442265\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.6346368715083799,\n\ \ \"acc_stderr\": 0.016104833880142302,\n \"acc_norm\": 0.6346368715083799,\n\ \ \"acc_norm_stderr\": 0.016104833880142302\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.8594771241830066,\n \"acc_stderr\": 0.01989943546353996,\n\ \ \"acc_norm\": 0.8594771241830066,\n \"acc_norm_stderr\": 0.01989943546353996\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.8392282958199357,\n\ \ \"acc_stderr\": 0.020862388082391888,\n \"acc_norm\": 0.8392282958199357,\n\ \ \"acc_norm_stderr\": 0.020862388082391888\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.8641975308641975,\n \"acc_stderr\": 0.0190615881815054,\n\ \ \"acc_norm\": 0.8641975308641975,\n \"acc_norm_stderr\": 0.0190615881815054\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.6276595744680851,\n \"acc_stderr\": 0.028838921471251455,\n \ \ \"acc_norm\": 0.6276595744680851,\n \"acc_norm_stderr\": 0.028838921471251455\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.6121251629726207,\n\ \ \"acc_stderr\": 0.012444998309675631,\n \"acc_norm\": 0.6121251629726207,\n\ \ \"acc_norm_stderr\": 0.012444998309675631\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.8198529411764706,\n \"acc_stderr\": 0.02334516361654484,\n\ \ \"acc_norm\": 0.8198529411764706,\n \"acc_norm_stderr\": 0.02334516361654484\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.8137254901960784,\n \"acc_stderr\": 0.01575052628436337,\n \ \ \"acc_norm\": 0.8137254901960784,\n \"acc_norm_stderr\": 0.01575052628436337\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7363636363636363,\n\ \ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.7363636363636363,\n\ \ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.8285714285714286,\n \"acc_stderr\": 0.024127463462650156,\n\ \ \"acc_norm\": 0.8285714285714286,\n \"acc_norm_stderr\": 0.024127463462650156\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8855721393034826,\n\ \ \"acc_stderr\": 0.022509345325101706,\n \"acc_norm\": 0.8855721393034826,\n\ \ \"acc_norm_stderr\": 0.022509345325101706\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.94,\n \"acc_stderr\": 0.023868325657594194,\n \ \ \"acc_norm\": 0.94,\n \"acc_norm_stderr\": 0.023868325657594194\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.572289156626506,\n\ \ \"acc_stderr\": 0.03851597683718533,\n \"acc_norm\": 0.572289156626506,\n\ \ \"acc_norm_stderr\": 0.03851597683718533\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8888888888888888,\n \"acc_stderr\": 0.024103384202072864,\n\ \ \"acc_norm\": 0.8888888888888888,\n \"acc_norm_stderr\": 0.024103384202072864\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.412484700122399,\n\ \ \"mc1_stderr\": 0.017233299399571227,\n \"mc2\": 0.596080564321232,\n\ \ \"mc2_stderr\": 0.01451800985281567\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8303078137332282,\n \"acc_stderr\": 0.010549542647363696\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6573161485974223,\n \ \ \"acc_stderr\": 0.013073030230827912\n }\n}\n```" repo_url: https://huggingface.co/Qwen/Qwen2-beta-72B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|arc:challenge|25_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-01-29T23-47-04.571636.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|gsm8k|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hellaswag|10_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-29T23-47-04.571636.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-management|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-29T23-47-04.571636.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|truthfulqa:mc|0_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-01-29T23-47-04.571636.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_29T23_47_04.571636 path: - '**/details_harness|winogrande|5_2024-01-29T23-47-04.571636.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-01-29T23-47-04.571636.parquet' - config_name: results data_files: - split: 2024_01_29T23_47_04.571636 path: - results_2024-01-29T23-47-04.571636.parquet - split: latest path: - results_2024-01-29T23-47-04.571636.parquet --- # Dataset Card for Evaluation run of Qwen/Qwen2-beta-72B  Dataset automatically created during the evaluation run of model [Qwen/Qwen2-beta-72B](https://huggingface.co/Qwen/Qwen2-beta-72B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Qwen__Qwen2-beta-72B_private", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-29T23:47:04.571636](https://huggingface.co/datasets/open-llm-leaderboard/details_Qwen__Qwen2-beta-72B_private/blob/main/results_2024-01-29T23-47-04.571636.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": 0.7669743429877653, "acc_stderr": 0.027971495069922473, "acc_norm": 0.7715834368806984, "acc_norm_stderr": 0.028493498109494097, "mc1": 0.412484700122399, "mc1_stderr": 0.017233299399571227, "mc2": 0.596080564321232, "mc2_stderr": 0.01451800985281567 }, "harness|arc:challenge|25": { "acc": 0.6262798634812287, "acc_stderr": 0.014137708601759095, "acc_norm": 0.658703071672355, "acc_norm_stderr": 0.01385583128749773 }, "harness|hellaswag|10": { "acc": 0.6666998605855408, "acc_stderr": 0.004704293898729911, "acc_norm": 0.8598884684325832, "acc_norm_stderr": 0.003463933286063887 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.7185185185185186, "acc_stderr": 0.038850042458002526, "acc_norm": 0.7185185185185186, "acc_norm_stderr": 0.038850042458002526 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8881578947368421, "acc_stderr": 0.02564834125169361, "acc_norm": 0.8881578947368421, "acc_norm_stderr": 0.02564834125169361 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.8, "acc_stderr": 0.04020151261036845, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.8226415094339623, "acc_stderr": 0.023508739218846938, "acc_norm": 0.8226415094339623, "acc_norm_stderr": 0.023508739218846938 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.9027777777777778, "acc_stderr": 0.024774516250440175, "acc_norm": 0.9027777777777778, "acc_norm_stderr": 0.024774516250440175 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.64, "acc_stderr": 0.048241815132442176, "acc_norm": 0.64, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7630057803468208, "acc_stderr": 0.032424147574830975, "acc_norm": 0.7630057803468208, "acc_norm_stderr": 0.032424147574830975 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.5490196078431373, "acc_stderr": 0.049512182523962604, "acc_norm": 0.5490196078431373, "acc_norm_stderr": 0.049512182523962604 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.84, "acc_stderr": 0.03684529491774709, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774709 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.8085106382978723, "acc_stderr": 0.025722149992637798, "acc_norm": 0.8085106382978723, "acc_norm_stderr": 0.025722149992637798 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5877192982456141, "acc_stderr": 0.046306532033665956, "acc_norm": 0.5877192982456141, "acc_norm_stderr": 0.046306532033665956 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.7862068965517242, "acc_stderr": 0.03416520447747549, "acc_norm": 0.7862068965517242, "acc_norm_stderr": 0.03416520447747549 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.6984126984126984, "acc_stderr": 0.0236369759961018, "acc_norm": 0.6984126984126984, "acc_norm_stderr": 0.0236369759961018 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5793650793650794, "acc_stderr": 0.04415438226743745, "acc_norm": 0.5793650793650794, "acc_norm_stderr": 0.04415438226743745 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.51, "acc_stderr": 0.05024183937956911, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8838709677419355, "acc_stderr": 0.018225757949432306, "acc_norm": 0.8838709677419355, "acc_norm_stderr": 0.018225757949432306 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6600985221674877, "acc_stderr": 0.033327690684107895, "acc_norm": 0.6600985221674877, "acc_norm_stderr": 0.033327690684107895 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.84, "acc_stderr": 0.03684529491774707, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774707 }, "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": 0.9292929292929293, "acc_stderr": 0.0182631054201995, "acc_norm": 0.9292929292929293, "acc_norm_stderr": 0.0182631054201995 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9896373056994818, "acc_stderr": 0.007308424386792194, "acc_norm": 0.9896373056994818, "acc_norm_stderr": 0.007308424386792194 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.8153846153846154, "acc_stderr": 0.01967163241310029, "acc_norm": 0.8153846153846154, "acc_norm_stderr": 0.01967163241310029 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.4925925925925926, "acc_stderr": 0.030482192395191506, "acc_norm": 0.4925925925925926, "acc_norm_stderr": 0.030482192395191506 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.8361344537815126, "acc_stderr": 0.024044054940440488, "acc_norm": 0.8361344537815126, "acc_norm_stderr": 0.024044054940440488 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.5761589403973509, "acc_stderr": 0.04034846678603396, "acc_norm": 0.5761589403973509, "acc_norm_stderr": 0.04034846678603396 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.9302752293577982, "acc_stderr": 0.01091942641184862, "acc_norm": 0.9302752293577982, "acc_norm_stderr": 0.01091942641184862 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.6851851851851852, "acc_stderr": 0.0316746870682898, "acc_norm": 0.6851851851851852, "acc_norm_stderr": 0.0316746870682898 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.9313725490196079, "acc_stderr": 0.017744453647073322, "acc_norm": 0.9313725490196079, "acc_norm_stderr": 0.017744453647073322 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.9029535864978903, "acc_stderr": 0.019269323025640273, "acc_norm": 0.9029535864978903, "acc_norm_stderr": 0.019269323025640273 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.7937219730941704, "acc_stderr": 0.02715715047956382, "acc_norm": 0.7937219730941704, "acc_norm_stderr": 0.02715715047956382 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8778625954198473, "acc_stderr": 0.02871877688934232, "acc_norm": 0.8778625954198473, "acc_norm_stderr": 0.02871877688934232 }, "harness|hendrycksTest-international_law|5": { "acc": 0.9090909090909091, "acc_stderr": 0.026243194054073892, "acc_norm": 0.9090909090909091, "acc_norm_stderr": 0.026243194054073892 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8518518518518519, "acc_stderr": 0.03434300243630999, "acc_norm": 0.8518518518518519, "acc_norm_stderr": 0.03434300243630999 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.8711656441717791, "acc_stderr": 0.02632138319878367, "acc_norm": 0.8711656441717791, "acc_norm_stderr": 0.02632138319878367 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.6517857142857143, "acc_stderr": 0.04521829902833585, "acc_norm": 0.6517857142857143, "acc_norm_stderr": 0.04521829902833585 }, "harness|hendrycksTest-management|5": { "acc": 0.8737864077669902, "acc_stderr": 0.03288180278808628, "acc_norm": 0.8737864077669902, "acc_norm_stderr": 0.03288180278808628 }, "harness|hendrycksTest-marketing|5": { "acc": 0.9401709401709402, "acc_stderr": 0.015537514263253874, "acc_norm": 0.9401709401709402, "acc_norm_stderr": 0.015537514263253874 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.85, "acc_stderr": 0.035887028128263734, "acc_norm": 0.85, "acc_norm_stderr": 0.035887028128263734 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.9157088122605364, "acc_stderr": 0.009934966499513786, "acc_norm": 0.9157088122605364, "acc_norm_stderr": 0.009934966499513786 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.8352601156069365, "acc_stderr": 0.019971040982442265, "acc_norm": 0.8352601156069365, "acc_norm_stderr": 0.019971040982442265 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.6346368715083799, "acc_stderr": 0.016104833880142302, "acc_norm": 0.6346368715083799, "acc_norm_stderr": 0.016104833880142302 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.8594771241830066, "acc_stderr": 0.01989943546353996, "acc_norm": 0.8594771241830066, "acc_norm_stderr": 0.01989943546353996 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.8392282958199357, "acc_stderr": 0.020862388082391888, "acc_norm": 0.8392282958199357, "acc_norm_stderr": 0.020862388082391888 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.8641975308641975, "acc_stderr": 0.0190615881815054, "acc_norm": 0.8641975308641975, "acc_norm_stderr": 0.0190615881815054 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.6276595744680851, "acc_stderr": 0.028838921471251455, "acc_norm": 0.6276595744680851, "acc_norm_stderr": 0.028838921471251455 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.6121251629726207, "acc_stderr": 0.012444998309675631, "acc_norm": 0.6121251629726207, "acc_norm_stderr": 0.012444998309675631 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.8198529411764706, "acc_stderr": 0.02334516361654484, "acc_norm": 0.8198529411764706, "acc_norm_stderr": 0.02334516361654484 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.8137254901960784, "acc_stderr": 0.01575052628436337, "acc_norm": 0.8137254901960784, "acc_norm_stderr": 0.01575052628436337 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7363636363636363, "acc_stderr": 0.04220224692971987, "acc_norm": 0.7363636363636363, "acc_norm_stderr": 0.04220224692971987 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.8285714285714286, "acc_stderr": 0.024127463462650156, "acc_norm": 0.8285714285714286, "acc_norm_stderr": 0.024127463462650156 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8855721393034826, "acc_stderr": 0.022509345325101706, "acc_norm": 0.8855721393034826, "acc_norm_stderr": 0.022509345325101706 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.94, "acc_stderr": 0.023868325657594194, "acc_norm": 0.94, "acc_norm_stderr": 0.023868325657594194 }, "harness|hendrycksTest-virology|5": { "acc": 0.572289156626506, "acc_stderr": 0.03851597683718533, "acc_norm": 0.572289156626506, "acc_norm_stderr": 0.03851597683718533 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8888888888888888, "acc_stderr": 0.024103384202072864, "acc_norm": 0.8888888888888888, "acc_norm_stderr": 0.024103384202072864 }, "harness|truthfulqa:mc|0": { "mc1": 0.412484700122399, "mc1_stderr": 0.017233299399571227, "mc2": 0.596080564321232, "mc2_stderr": 0.01451800985281567 }, "harness|winogrande|5": { "acc": 0.8303078137332282, "acc_stderr": 0.010549542647363696 }, "harness|gsm8k|5": { "acc": 0.6573161485974223, "acc_stderr": 0.013073030230827912 } } ``` ## Dataset Details ### Dataset Description  - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

zenml/rag_qa_embedding_questions

--- dataset_info: features: - name: page_content dtype: string - name: filename dtype: string - name: parent_section dtype: string - name: url dtype: string - name: embedding sequence: float64 - name: token_count dtype: int64 - name: generated_questions sequence: string - name: __pydantic_initialised__ dtype: bool splits: - name: train num_bytes: 10042718 num_examples: 1806 download_size: 5948133 dataset_size: 10042718 configs: - config_name: default data_files: - split: train path: data/train-* ---

JonnyHsu/testtest

--- license: openrail ---

Blessin/dialogues-one-liners

--- license: mit ---

mask-distilled-onesec-cv12-each-chunk-uniq/chunk_131

--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 822836648.0 num_examples: 161594 download_size: 837715041 dataset_size: 822836648.0 --- # Dataset Card for "chunk_131" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

osmzrl/ofpptv2

--- license: apache-2.0 ---

mask-distilled-onesec-cv12-each-chunk-uniq/chunk_106

--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 887841120.0 num_examples: 174360 download_size: 905816663 dataset_size: 887841120.0 --- # Dataset Card for "chunk_106" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

satellite-image-deep-learning/DOTAv2

--- license: cc-by-4.0 tags: - remote-sensing - oriented-bounding-boxes - object-detection --- DOTA v2 Dataset with OBB, specifically the version from the [Ultralytics docs](https://docs.ultralytics.com/datasets/obb/dota-v2/) - [Website](https://captain-whu.github.io/DOTA/dataset.html) ![Image](https://user-images.githubusercontent.com/26833433/259461765-72fdd0d8-266b-44a9-8199-199329bf5ca9.jpg) ## Full License Here reproduced from the website webpage License for Academic Non-Commercial Use Only This DOTA dataset is made available under the following terms: 1. The Google Earth images in this dataset are subject to Google Earth's terms of use, which must be adhered to. 2. The GF-2 and JL-1 satellite images are provided by the China Centre for Resources Satellite Data and Application. The aerial images are provided by CycloMedia B.V. 3. Permission is hereby granted, free of charge, to any person obtaining a copy of this dataset to use it for academic, research, and other non-commercial uses only. 4. Redistribution, modification, or commercial use of this dataset or any portion of it is strictly prohibited without explicit permission from the copyright holder. 5. Any academic work that makes use of this dataset should include a citation to the dataset source. All rights not expressly granted are reserved.

indiejoseph/wikipedia-zh-yue-filtered

--- license: cc-by-4.0 configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: title dtype: string - name: text dtype: string splits: - name: train num_bytes: 90299602 num_examples: 133133 download_size: 56260688 dataset_size: 90299602 ---

jenhsia/ragged_id2title

--- license: mit dataset_info: - config_name: id2title_demo features: - name: id dtype: int64 - name: title dtype: string splits: - name: train num_bytes: 509 num_examples: 8 download_size: 1866 dataset_size: 509 - config_name: kilt_wikipedia_id2title features: - name: id dtype: int64 - name: title dtype: string splits: - name: train num_bytes: 187669689 num_examples: 5903530 download_size: 147063565 dataset_size: 187669689 configs: - config_name: id2title_demo data_files: - split: train path: id2title_demo/train-* - config_name: kilt_wikipedia_id2title data_files: - split: train path: kilt_wikipedia_id2title/train-* ---

Atsushi/fungi_indexed_mycological_papers_japanese

--- annotations_creators: - other language: - ja license: - cc-by-4.0 multilinguality: - monolingual source_datasets: - original size_categories: - 1K<n<10K --- fungi_indexed_mycological_papers_japanese 大菌輪「論文3行まとめ」データセット最終更新日：2024/2/23（R3-11457まで） ==== ### Languages Japanese This dataset is available in Japanese only. # 概要 Atsushi Nakajima（中島淳志）が個人で運営しているWebサイト[大菌輪](http://mycoscouter.coolblog.jp/daikinrin/) では、数千件以上の菌類分類学論文を「論文3行まとめ」という形で要約および索引付け（インデキシング）した情報を提供しています。本データセットは、「論文3行まとめ」のコンテンツに含まれる各論文の3行抄録、タグ（索引）、掲載種一覧、比較種一覧をまとめたものです。「論文3行まとめ」は毎日更新していますが、本データセットの更新はおおむね1ヶ月に一度とする予定です。また、本データセットを可視化したWebアプリを[Observableで公開](https://tinyurl.com/2tvryz8u)しています。 ## 関連データセット「識別形質まとめ」 [Atsushi/fungi_diagnostic_chars_comparison_japanese](https://huggingface.co/datasets/Atsushi/fungi_diagnostic_chars_comparison_japanese) 「Trait Circusデータセット」（統制形質） [Atsushi/fungi_trait_circus_database](https://huggingface.co/datasets/Atsushi/fungi_trait_circus_database) ## 各カラムの説明 * R3ID … 大菌輪「論文3行まとめ」のIDです。 * ja_title_provisional_translate（仮訳和文題名） … 作成者が翻訳したタイトルです。一部、日本語の原題があるものはそれをそのまま使用しています。 * original_title（原文題名） * published_year（出版年） * journal_title（雑誌名） * source（文献リンク） … 各情報の出典（文献）のURLです。 * daikinrin_url … 大菌輪「論文3行まとめ」のURLです。 * tags … 作成者が論文を全文読んだ上で独自に付与した索引です。カンマ+半角空白区切りです。形態形質、宿主/基質、実験器具/実験手法/試薬、地理的分布、生理/生化学などを幅広く索引しています。 * R3summary_1 … 3行抄録の「1行目」です。 * R3summary_2 … 3行抄録の「2行目」です。 * R3summary_3 … 3行抄録の「3行目」です。 * species_reported（報告種一覧） … 当該論文内で掲載された種の一覧です。「半角空白+半角スラッシュ+半角空白」区切りです。記号の意味は以下の通りです。 * ★＝新種（新亜種・新品種・新変種） * ■＝新産種 * ▲＝新組み合わせ * ◆＝新学名 * ●＝新階級 * （無印）＝その他 * species_compared（比較種一覧） … いずれかの報告種と論文中で何らかの比較がなされた種の一覧です。「半角空白+半角スラッシュ+半角空白」区切りです。詳細は「識別形質まとめ」データセット（[Atsushi/fungi_diagnostic_chars_comparison_japanese](https://huggingface.co/datasets/Atsushi/fungi_diagnostic_chars_comparison_japanese)）を参照してください。 * taxon_reported（分類群一覧） … 報告種に対応する上位分類群をまとめたものです。カンマ+半角空白区切りです。MycoBankの情報を基に付与していますが、最新でない可能性があります。

abhinand/tamil-llama-eval

--- language: - ta license: gpl size_categories: - n<1K task_categories: - text-generation pretty_name: tamil-llama-eval dataset_info: config_name: large features: - name: input dtype: string - name: raw_input dtype: string - name: evol_source dtype: string - name: category dtype: string splits: - name: train num_bytes: 1077035 num_examples: 956 download_size: 347891 dataset_size: 1077035 configs: - config_name: large data_files: - split: train path: large/train-* --- # Dataset Card for "tamil-alpaca-eval" This repository includes evaluation instructions to quickly test the Tamil LLaMA family of instruction models. To dive deep into the development and capabilities of the models, please read the [research paper](https://arxiv.org/abs/2311.05845) and the [introductory blog post (WIP) ]() that outlines our journey and the model's potential impact. **GitHub Repository:** [https://github.com/abhinand5/tamil-llama](https://github.com/abhinand5/tamil-llama) **Note:** This is the second version of the evaluation dataset was created using [Evol Instruct](https://arxiv.org/pdf/2304.12244.pdf) methodology and GPT-4. The initial 120 questions in [Tamil-Llama-Eval.csv](https://huggingface.co/datasets/abhinand/tamil-llama-eval/blob/main/Tamil-LLaMA-Eval.csv) (v1) were used as seed instructions. ## Models evaluated using this dataset | Task Type | [Tamil-LLaMA-7B](abhinand/tamil-llama-7b-instruct-v0.1) | [Tamil-LLaMA-13B](abhinand/tamil-llama-13b-instruct-v0.1) | [gpt-3.5-turbo](https://platform.openai.com/docs/models/gpt-3-5) | |-----------------|----------------|-----------------|---------------| | Question Answering | 77.00 | 75.33 | 54.33 | | Open-ended QA | 84.47 | 85.26 | 58.68 | | Reasoning | 47.50 | 64.25 | 63.50 | | Literature | 45.50 | 40.00 | 71.00 | | Entertainment | 43.33 | 50.00 | 60.00 | | Creative Writing| 92.50 | 95.62 | 59.69 | | Translation | 60.56 | 66.67 | 92.78 | | Coding | 63.57 | 76.07 | 57.14 | | Ethics | 23.75 | 57.50 | 40.00 | | **Overall** | **63.83** | **71.17** | **61.33** | ## Meet the Developers Get to know the creators behind this innovative model and follow their contributions to the field: - [Abhinand Balachandran](https://www.linkedin.com/in/abhinand-05/) ## Citation If you use this model or any of the the Tamil-Llama datasets in your research, please cite: ```bibtex @misc{balachandran2023tamilllama, title={Tamil-Llama: A New Tamil Language Model Based on Llama 2}, author={Abhinand Balachandran}, year={2023}, eprint={2311.05845}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```

joey234/mmlu-moral_disputes-original-neg-prepend

--- dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: neg_prompt dtype: string splits: - name: test num_bytes: 29708 num_examples: 53 download_size: 22744 dataset_size: 29708 --- # Dataset Card for "mmlu-moral_disputes-original-neg-prepend" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Violetmae14/image-to-sound-with-effects-using-videos

--- license: artistic-2.0 --- image to sounds using facebook: images here? space: button, images and audios,

Gregor/mblip-train

--- license: other language: - en - multilingual pretty_name: mBLIP instructions --- # mBLIP Instruct Mix Dataset Card ## Important! This dataset currently does not work directly with `datasets.load_dataset(Gregor/mblip-train)`! Please download the data files you need and load them with `datasets.load_dataset("json", data_files="filename")`. ## Dataset details **Dataset type:** This is the instruction mix used to train [mBLIP](https://github.com/gregor-ge/mBLIP). See https://github.com/gregor-ge/mBLIP/data/README.md for more information on how to reproduce the data. **Dataset date:** The dataset was created in May 2023. **Dataset languages:** The original English examples were machine translated to the following 95 languages: ` af, am, ar, az, be, bg, bn, ca, ceb, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fil, fr, ga, gd, gl, gu, ha, hi, ht, hu, hy, id, ig, is, it, iw, ja, jv, ka, kk, km, kn, ko, ku, ky, lb, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, no, ny, pa, pl, ps, pt, ro, ru, sd, si, sk, sl, sm, sn, so, sq, sr, st, su, sv, sw, ta, te, tg, th, tr, uk, ur, uz, vi, xh, yi, yo, zh, zu ` Languages are translated proportional to their size in [mC4](https://www.tensorflow.org/datasets/catalog/c4#c4multilingual), i.e., as 6% of examples in mC4 are German, we translate 6% of the data to German. **Dataset structure:** - `task_mix_mt.json`: The instruction mix data in the processed, translated, and combined form. - Folders: The folders contain 1) the separate tasks used to generate the mix and 2) the files of the tasks used to evaluate the model. **Images:** We do not include any images with this dataset. Images from the public datasets (MSCOCO for instruction training, and others for evaluation) can be downloaded from the respective websites. For the BLIP captions, we provide the URLs and filenames as used by us [here](blip_captions/ccs_synthetic_filtered_large_2273005_raw.json). To download them, [our code](https://github.com/gregor-ge/mBLIP/tree/main/data#blip-web-capfilt) can be adapted, for example. **License:** Must comply with license of the original datasets used to create this mix. See https://github.com/gregor-ge/mBLIP/data/README.md for more. Translations were produced with [NLLB](https://huggingface.co/facebook/nllb-200-distilled-1.3B) so use has to comply with their license. **Where to send questions or comments about the model:** https://github.com/gregor-ge/mBLIP/issues ## Intended use **Primary intended uses:** The primary is research on large multilingual multimodal models and chatbots. **Primary intended users:** The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.

divers/jobsedcription-requirement

--- dataset_info: features: - name: index dtype: int64 - name: job_description dtype: string - name: job_requirements dtype: string - name: unknown dtype: float64 - name: __index_level_0__ dtype: float64 splits: - name: train num_bytes: 25599853 num_examples: 4551 download_size: 12633905 dataset_size: 25599853 --- # Dataset Card for "jobsedcription-requirement" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

realPCH/trutuful_ko

--- dataset_info: features: - name: question dtype: string - name: mc1_targets struct: - name: choices dtype: string - name: labels dtype: string - name: mc2_targets struct: - name: choices dtype: string - name: labels dtype: string splits: - name: validation num_bytes: 2788 num_examples: 3 download_size: 9265 dataset_size: 2788 configs: - config_name: default data_files: - split: validation path: data/validation-* ---

vwxyzjn/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_1706381144

--- dataset_info: features: - name: id dtype: string - name: subreddit dtype: string - name: title dtype: string - name: post dtype: string - name: summary dtype: string - name: query_token sequence: int64 - name: query dtype: string - name: reference_response dtype: string - name: reference_response_token sequence: int64 - name: reference_response_token_len dtype: int64 - name: query_reference_response dtype: string - name: query_reference_response_token sequence: int64 - name: query_reference_response_token_response_label sequence: int64 - name: query_reference_response_token_len dtype: int64 splits: - name: train num_bytes: 2125689249 num_examples: 116722 - name: validation num_bytes: 117437271 num_examples: 6447 - name: test num_bytes: 119410966 num_examples: 6553 download_size: 562087836 dataset_size: 2362537486 --- # TL;DR SFT Dataset for OpenAI's [Summarize from Feedback](https://openai.com/blog/summarization/) task The dataset is directly taken from https://github.com/openai/summarize-from-feedback/tree/700967448d10004279f138666442bf1497d0e705#reddit-tldr-dataset These columns are taken directly from the aforementioned dataset: * **id**: unique identifier for the post * **subreddit**: subreddit the post was taken from * **title**: title of the post * **post**: body of the post * **summary**: summary of the post * **reference_response**: reference response for the post These columns are added by this preprocessing script: * **query**: length-limited query for summarization: OAI pre-processes the main text (title + subreddit + post), ensuring it has only 512 tokens; if the main text is too long, then it tries to truncate at the last ` `. If it's too short it pads the main text ([summarize_from_feedback/tasks.py#L98-L165](https://github.com/openai/summarize-from-feedback/blob/700967448d10004279f138666442bf1497d0e705/summarize_from_feedback/tasks.py#L98-L165)). Padding is either space or `[PAD]` token (see Args below). * **query_token**: tokenized version of `query` * **reference_response_token**: tokenized version of `reference_response` * **reference_response_token_len**: length of `reference_response_token` * **query_reference_response**: concatenation of `query.strip()` and `reference_response` * **query_reference_response_token**: tokenized version of `query_reference_response`, up to `max_sft_query_response_length` tokens * **query_reference_response_token_len**: length of `query_reference_response_token` # Args ```python {'base_model': 'EleutherAI/pythia-1b-deduped', 'check_length_correctness': True, 'cnndm_params': TaskQueryHParams(length=1919, format_str='Article:\n{article}\n\nTL;DR:\n', truncate_field='article', truncate_text='\n', padding='pad_token', pad_token=[50277], pad_side='left', max_sft_response_length=None, max_sft_query_response_length=None, max_rm_response_length=155, max_rm_query_response_length=2021), 'debug': False, 'hf_entity': 'vwxyzjn', 'push_to_hub': True, 'tldr_params': TaskQueryHParams(length=512, format_str='SUBREDDIT: r/{subreddit}\n' '\n' 'TITLE: {title}\n' '\n' 'POST: {post}\n' '\n' 'TL;DR:', truncate_field='post', truncate_text='\n', padding='pad_token', pad_token=[50277], pad_side='left', max_sft_response_length=53, max_sft_query_response_length=562, max_rm_response_length=169, max_rm_query_response_length=638)} ```

gymprathap/Brain-MRI-LGG-Segmentation

--- license: cc-by-4.0 language: - en tags: - medical size_categories: - 1K<n<10K --- Brain MR images and FLAIR abnormality segmentation masks created by hand are part of this dataset. These pictures came from TCIA, or The Cancer Imaging Archive. Their genetic cluster data and fluid-attenuated inversion recovery (FLAIR) sequences are from 110 patients with lower-grade glioma who are part of the Cancer Genome Atlas (TCGA) collection. You can find patient information and genomic clusters of tumours in the data.csv file. <a href="http://projectcentersinchennai.co.in/Final-Year-Projects-for-CSE/Final-Year-Projects-for-CSE-Deep-learning-Domain" title="Deep Learning Projects for Final Year">Deep Learning Projects for Final Year</a> FYI: It is not my dataset. I got it from kaggle.

open-llm-leaderboard/details_jefferylovely__SuperThetaMaven

--- pretty_name: Evaluation run of jefferylovely/SuperThetaMaven dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [jefferylovely/SuperThetaMaven](https://huggingface.co/jefferylovely/SuperThetaMaven)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_jefferylovely__SuperThetaMaven\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-02T04:35:28.673518](https://huggingface.co/datasets/open-llm-leaderboard/details_jefferylovely__SuperThetaMaven/blob/main/results_2024-02-02T04-35-28.673518.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\": 0.6545059772983542,\n\ \ \"acc_stderr\": 0.03205377283844669,\n \"acc_norm\": 0.6538200997878416,\n\ \ \"acc_norm_stderr\": 0.03272641534569135,\n \"mc1\": 0.5703794369645043,\n\ \ \"mc1_stderr\": 0.01732923458040909,\n \"mc2\": 0.7177387118634652,\n\ \ \"mc2_stderr\": 0.014774281827372924\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.7107508532423208,\n \"acc_stderr\": 0.013250012579393441,\n\ \ \"acc_norm\": 0.7363481228668942,\n \"acc_norm_stderr\": 0.012875929151297042\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7144991037641903,\n\ \ \"acc_stderr\": 0.004507296196227809,\n \"acc_norm\": 0.8899621589324835,\n\ \ \"acc_norm_stderr\": 0.0031229736320394727\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6666666666666666,\n\ \ \"acc_stderr\": 0.04072314811876837,\n \"acc_norm\": 0.6666666666666666,\n\ \ \"acc_norm_stderr\": 0.04072314811876837\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.64,\n\ \ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n \ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7094339622641509,\n \"acc_stderr\": 0.02794321998933714,\n\ \ \"acc_norm\": 0.7094339622641509,\n \"acc_norm_stderr\": 0.02794321998933714\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7638888888888888,\n\ \ \"acc_stderr\": 0.03551446610810826,\n \"acc_norm\": 0.7638888888888888,\n\ \ \"acc_norm_stderr\": 0.03551446610810826\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.050161355804659205\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\ : 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6705202312138728,\n\ \ \"acc_stderr\": 0.03583901754736412,\n \"acc_norm\": 0.6705202312138728,\n\ \ \"acc_norm_stderr\": 0.03583901754736412\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4215686274509804,\n \"acc_stderr\": 0.04913595201274498,\n\ \ \"acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.04913595201274498\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.74,\n \"acc_stderr\": 0.04408440022768077,\n \"acc_norm\": 0.74,\n\ \ \"acc_norm_stderr\": 0.04408440022768077\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5787234042553191,\n \"acc_stderr\": 0.03227834510146267,\n\ \ \"acc_norm\": 0.5787234042553191,\n \"acc_norm_stderr\": 0.03227834510146267\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4824561403508772,\n\ \ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.4824561403508772,\n\ \ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5448275862068965,\n \"acc_stderr\": 0.04149886942192117,\n\ \ \"acc_norm\": 0.5448275862068965,\n \"acc_norm_stderr\": 0.04149886942192117\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.42328042328042326,\n \"acc_stderr\": 0.025446365634406783,\n \"\ acc_norm\": 0.42328042328042326,\n \"acc_norm_stderr\": 0.025446365634406783\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4603174603174603,\n\ \ \"acc_stderr\": 0.04458029125470973,\n \"acc_norm\": 0.4603174603174603,\n\ \ \"acc_norm_stderr\": 0.04458029125470973\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621505,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621505\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7870967741935484,\n\ \ \"acc_stderr\": 0.023287665127268545,\n \"acc_norm\": 0.7870967741935484,\n\ \ \"acc_norm_stderr\": 0.023287665127268545\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5123152709359606,\n \"acc_stderr\": 0.035169204442208966,\n\ \ \"acc_norm\": 0.5123152709359606,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621505,\n \"acc_norm\"\ : 0.68,\n \"acc_norm_stderr\": 0.04688261722621505\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.03225078108306289,\n\ \ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.03225078108306289\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.803030303030303,\n \"acc_stderr\": 0.028335609732463362,\n \"\ acc_norm\": 0.803030303030303,\n \"acc_norm_stderr\": 0.028335609732463362\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8860103626943006,\n \"acc_stderr\": 0.022935144053919443,\n\ \ \"acc_norm\": 0.8860103626943006,\n \"acc_norm_stderr\": 0.022935144053919443\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6641025641025641,\n \"acc_stderr\": 0.023946724741563976,\n\ \ \"acc_norm\": 0.6641025641025641,\n \"acc_norm_stderr\": 0.023946724741563976\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.34444444444444444,\n \"acc_stderr\": 0.02897264888484427,\n \ \ \"acc_norm\": 0.34444444444444444,\n \"acc_norm_stderr\": 0.02897264888484427\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.030388353551886797,\n\ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.030388353551886797\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.37748344370860926,\n \"acc_stderr\": 0.03958027231121569,\n \"\ acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.03958027231121569\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8458715596330275,\n \"acc_stderr\": 0.015480826865374303,\n \"\ acc_norm\": 0.8458715596330275,\n \"acc_norm_stderr\": 0.015480826865374303\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5092592592592593,\n \"acc_stderr\": 0.034093869469927006,\n \"\ acc_norm\": 0.5092592592592593,\n \"acc_norm_stderr\": 0.034093869469927006\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8382352941176471,\n \"acc_stderr\": 0.02584501798692692,\n \"\ acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.02584501798692692\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8143459915611815,\n \"acc_stderr\": 0.025310495376944856,\n \ \ \"acc_norm\": 0.8143459915611815,\n \"acc_norm_stderr\": 0.025310495376944856\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6860986547085202,\n\ \ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.6860986547085202,\n\ \ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7938931297709924,\n \"acc_stderr\": 0.03547771004159463,\n\ \ \"acc_norm\": 0.7938931297709924,\n \"acc_norm_stderr\": 0.03547771004159463\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\ acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.0401910747255735,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.0401910747255735\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7730061349693251,\n \"acc_stderr\": 0.03291099578615769,\n\ \ \"acc_norm\": 0.7730061349693251,\n \"acc_norm_stderr\": 0.03291099578615769\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.45535714285714285,\n\ \ \"acc_stderr\": 0.047268355537191,\n \"acc_norm\": 0.45535714285714285,\n\ \ \"acc_norm_stderr\": 0.047268355537191\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8846153846153846,\n\ \ \"acc_stderr\": 0.02093019318517933,\n \"acc_norm\": 0.8846153846153846,\n\ \ \"acc_norm_stderr\": 0.02093019318517933\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \ \ \"acc_norm\": 0.74,\n \"acc_norm_stderr\": 0.04408440022768078\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8263090676883781,\n\ \ \"acc_stderr\": 0.013547415658662264,\n \"acc_norm\": 0.8263090676883781,\n\ \ \"acc_norm_stderr\": 0.013547415658662264\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7369942196531792,\n \"acc_stderr\": 0.023703099525258176,\n\ \ \"acc_norm\": 0.7369942196531792,\n \"acc_norm_stderr\": 0.023703099525258176\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.42905027932960893,\n\ \ \"acc_stderr\": 0.016553287863116037,\n \"acc_norm\": 0.42905027932960893,\n\ \ \"acc_norm_stderr\": 0.016553287863116037\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7124183006535948,\n \"acc_stderr\": 0.02591780611714716,\n\ \ \"acc_norm\": 0.7124183006535948,\n \"acc_norm_stderr\": 0.02591780611714716\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7202572347266881,\n\ \ \"acc_stderr\": 0.025494259350694912,\n \"acc_norm\": 0.7202572347266881,\n\ \ \"acc_norm_stderr\": 0.025494259350694912\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7592592592592593,\n \"acc_stderr\": 0.023788583551658533,\n\ \ \"acc_norm\": 0.7592592592592593,\n \"acc_norm_stderr\": 0.023788583551658533\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.48936170212765956,\n \"acc_stderr\": 0.029820747191422473,\n \ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.029820747191422473\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.470013037809648,\n\ \ \"acc_stderr\": 0.012747248967079064,\n \"acc_norm\": 0.470013037809648,\n\ \ \"acc_norm_stderr\": 0.012747248967079064\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6801470588235294,\n \"acc_stderr\": 0.02833295951403121,\n\ \ \"acc_norm\": 0.6801470588235294,\n \"acc_norm_stderr\": 0.02833295951403121\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6715686274509803,\n \"acc_stderr\": 0.018999707383162673,\n \ \ \"acc_norm\": 0.6715686274509803,\n \"acc_norm_stderr\": 0.018999707383162673\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6909090909090909,\n\ \ \"acc_stderr\": 0.044262946482000985,\n \"acc_norm\": 0.6909090909090909,\n\ \ \"acc_norm_stderr\": 0.044262946482000985\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\ \ \"acc_stderr\": 0.026193923544454115,\n \"acc_norm\": 0.835820895522388,\n\ \ \"acc_norm_stderr\": 0.026193923544454115\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\n },\n\ \ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5662650602409639,\n\ \ \"acc_stderr\": 0.03858158940685516,\n \"acc_norm\": 0.5662650602409639,\n\ \ \"acc_norm_stderr\": 0.03858158940685516\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\ \ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5703794369645043,\n\ \ \"mc1_stderr\": 0.01732923458040909,\n \"mc2\": 0.7177387118634652,\n\ \ \"mc2_stderr\": 0.014774281827372924\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8492501973164956,\n \"acc_stderr\": 0.010056094631479674\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7012888551933283,\n \ \ \"acc_stderr\": 0.012607137125693633\n }\n}\n```" repo_url: https://huggingface.co/jefferylovely/SuperThetaMaven leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|arc:challenge|25_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-02-02T04-35-28.673518.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|gsm8k|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hellaswag|10_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-02T04-35-28.673518.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-management|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-02T04-35-28.673518.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|truthfulqa:mc|0_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-02-02T04-35-28.673518.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_02T04_35_28.673518 path: - '**/details_harness|winogrande|5_2024-02-02T04-35-28.673518.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-02-02T04-35-28.673518.parquet' - config_name: results data_files: - split: 2024_02_02T04_35_28.673518 path: - results_2024-02-02T04-35-28.673518.parquet - split: latest path: - results_2024-02-02T04-35-28.673518.parquet --- # Dataset Card for Evaluation run of jefferylovely/SuperThetaMaven  Dataset automatically created during the evaluation run of model [jefferylovely/SuperThetaMaven](https://huggingface.co/jefferylovely/SuperThetaMaven) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_jefferylovely__SuperThetaMaven", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-02T04:35:28.673518](https://huggingface.co/datasets/open-llm-leaderboard/details_jefferylovely__SuperThetaMaven/blob/main/results_2024-02-02T04-35-28.673518.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": 0.6545059772983542, "acc_stderr": 0.03205377283844669, "acc_norm": 0.6538200997878416, "acc_norm_stderr": 0.03272641534569135, "mc1": 0.5703794369645043, "mc1_stderr": 0.01732923458040909, "mc2": 0.7177387118634652, "mc2_stderr": 0.014774281827372924 }, "harness|arc:challenge|25": { "acc": 0.7107508532423208, "acc_stderr": 0.013250012579393441, "acc_norm": 0.7363481228668942, "acc_norm_stderr": 0.012875929151297042 }, "harness|hellaswag|10": { "acc": 0.7144991037641903, "acc_stderr": 0.004507296196227809, "acc_norm": 0.8899621589324835, "acc_norm_stderr": 0.0031229736320394727 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6666666666666666, "acc_stderr": 0.04072314811876837, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.04072314811876837 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7094339622641509, "acc_stderr": 0.02794321998933714, "acc_norm": 0.7094339622641509, "acc_norm_stderr": 0.02794321998933714 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7638888888888888, "acc_stderr": 0.03551446610810826, "acc_norm": 0.7638888888888888, "acc_norm_stderr": 0.03551446610810826 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.47, "acc_stderr": 0.050161355804659205, "acc_norm": 0.47, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6705202312138728, "acc_stderr": 0.03583901754736412, "acc_norm": 0.6705202312138728, "acc_norm_stderr": 0.03583901754736412 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4215686274509804, "acc_stderr": 0.04913595201274498, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.04913595201274498 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.74, "acc_stderr": 0.04408440022768077, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768077 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5787234042553191, "acc_stderr": 0.03227834510146267, "acc_norm": 0.5787234042553191, "acc_norm_stderr": 0.03227834510146267 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4824561403508772, "acc_stderr": 0.04700708033551038, "acc_norm": 0.4824561403508772, "acc_norm_stderr": 0.04700708033551038 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5448275862068965, "acc_stderr": 0.04149886942192117, "acc_norm": 0.5448275862068965, "acc_norm_stderr": 0.04149886942192117 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.42328042328042326, "acc_stderr": 0.025446365634406783, "acc_norm": 0.42328042328042326, "acc_norm_stderr": 0.025446365634406783 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4603174603174603, "acc_stderr": 0.04458029125470973, "acc_norm": 0.4603174603174603, "acc_norm_stderr": 0.04458029125470973 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.32, "acc_stderr": 0.04688261722621505, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621505 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7870967741935484, "acc_stderr": 0.023287665127268545, "acc_norm": 0.7870967741935484, "acc_norm_stderr": 0.023287665127268545 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5123152709359606, "acc_stderr": 0.035169204442208966, "acc_norm": 0.5123152709359606, "acc_norm_stderr": 0.035169204442208966 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.68, "acc_stderr": 0.04688261722621505, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621505 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7818181818181819, "acc_stderr": 0.03225078108306289, "acc_norm": 0.7818181818181819, "acc_norm_stderr": 0.03225078108306289 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.803030303030303, "acc_stderr": 0.028335609732463362, "acc_norm": 0.803030303030303, "acc_norm_stderr": 0.028335609732463362 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8860103626943006, "acc_stderr": 0.022935144053919443, "acc_norm": 0.8860103626943006, "acc_norm_stderr": 0.022935144053919443 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6641025641025641, "acc_stderr": 0.023946724741563976, "acc_norm": 0.6641025641025641, "acc_norm_stderr": 0.023946724741563976 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.34444444444444444, "acc_stderr": 0.02897264888484427, "acc_norm": 0.34444444444444444, "acc_norm_stderr": 0.02897264888484427 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6764705882352942, "acc_stderr": 0.030388353551886797, "acc_norm": 0.6764705882352942, "acc_norm_stderr": 0.030388353551886797 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.37748344370860926, "acc_stderr": 0.03958027231121569, "acc_norm": 0.37748344370860926, "acc_norm_stderr": 0.03958027231121569 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8458715596330275, "acc_stderr": 0.015480826865374303, "acc_norm": 0.8458715596330275, "acc_norm_stderr": 0.015480826865374303 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5092592592592593, "acc_stderr": 0.034093869469927006, "acc_norm": 0.5092592592592593, "acc_norm_stderr": 0.034093869469927006 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8382352941176471, "acc_stderr": 0.02584501798692692, "acc_norm": 0.8382352941176471, "acc_norm_stderr": 0.02584501798692692 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8143459915611815, "acc_stderr": 0.025310495376944856, "acc_norm": 0.8143459915611815, "acc_norm_stderr": 0.025310495376944856 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6860986547085202, "acc_stderr": 0.031146796482972465, "acc_norm": 0.6860986547085202, "acc_norm_stderr": 0.031146796482972465 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7938931297709924, "acc_stderr": 0.03547771004159463, "acc_norm": 0.7938931297709924, "acc_norm_stderr": 0.03547771004159463 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7851239669421488, "acc_stderr": 0.037494924487096966, "acc_norm": 0.7851239669421488, "acc_norm_stderr": 0.037494924487096966 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7777777777777778, "acc_stderr": 0.0401910747255735, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.0401910747255735 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7730061349693251, "acc_stderr": 0.03291099578615769, "acc_norm": 0.7730061349693251, "acc_norm_stderr": 0.03291099578615769 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.45535714285714285, "acc_stderr": 0.047268355537191, "acc_norm": 0.45535714285714285, "acc_norm_stderr": 0.047268355537191 }, "harness|hendrycksTest-management|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8846153846153846, "acc_stderr": 0.02093019318517933, "acc_norm": 0.8846153846153846, "acc_norm_stderr": 0.02093019318517933 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8263090676883781, "acc_stderr": 0.013547415658662264, "acc_norm": 0.8263090676883781, "acc_norm_stderr": 0.013547415658662264 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7369942196531792, "acc_stderr": 0.023703099525258176, "acc_norm": 0.7369942196531792, "acc_norm_stderr": 0.023703099525258176 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.42905027932960893, "acc_stderr": 0.016553287863116037, "acc_norm": 0.42905027932960893, "acc_norm_stderr": 0.016553287863116037 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7124183006535948, "acc_stderr": 0.02591780611714716, "acc_norm": 0.7124183006535948, "acc_norm_stderr": 0.02591780611714716 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7202572347266881, "acc_stderr": 0.025494259350694912, "acc_norm": 0.7202572347266881, "acc_norm_stderr": 0.025494259350694912 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7592592592592593, "acc_stderr": 0.023788583551658533, "acc_norm": 0.7592592592592593, "acc_norm_stderr": 0.023788583551658533 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.48936170212765956, "acc_stderr": 0.029820747191422473, "acc_norm": 0.48936170212765956, "acc_norm_stderr": 0.029820747191422473 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.470013037809648, "acc_stderr": 0.012747248967079064, "acc_norm": 0.470013037809648, "acc_norm_stderr": 0.012747248967079064 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6801470588235294, "acc_stderr": 0.02833295951403121, "acc_norm": 0.6801470588235294, "acc_norm_stderr": 0.02833295951403121 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6715686274509803, "acc_stderr": 0.018999707383162673, "acc_norm": 0.6715686274509803, "acc_norm_stderr": 0.018999707383162673 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6909090909090909, "acc_stderr": 0.044262946482000985, "acc_norm": 0.6909090909090909, "acc_norm_stderr": 0.044262946482000985 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness|hendrycksTest-sociology|5": { "acc": 0.835820895522388, "acc_stderr": 0.026193923544454115, "acc_norm": 0.835820895522388, "acc_norm_stderr": 0.026193923544454115 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.86, "acc_stderr": 0.0348735088019777, "acc_norm": 0.86, "acc_norm_stderr": 0.0348735088019777 }, "harness|hendrycksTest-virology|5": { "acc": 0.5662650602409639, "acc_stderr": 0.03858158940685516, "acc_norm": 0.5662650602409639, "acc_norm_stderr": 0.03858158940685516 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8245614035087719, "acc_stderr": 0.029170885500727665, "acc_norm": 0.8245614035087719, "acc_norm_stderr": 0.029170885500727665 }, "harness|truthfulqa:mc|0": { "mc1": 0.5703794369645043, "mc1_stderr": 0.01732923458040909, "mc2": 0.7177387118634652, "mc2_stderr": 0.014774281827372924 }, "harness|winogrande|5": { "acc": 0.8492501973164956, "acc_stderr": 0.010056094631479674 }, "harness|gsm8k|5": { "acc": 0.7012888551933283, "acc_stderr": 0.012607137125693633 } } ``` ## Dataset Details ### Dataset Description  - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

open-llm-leaderboard/details_sr5434__CodegebraGPT-10b

--- pretty_name: Evaluation run of sr5434/CodegebraGPT-10b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [sr5434/CodegebraGPT-10b](https://huggingface.co/sr5434/CodegebraGPT-10b) on the\ \ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_sr5434__CodegebraGPT-10b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-05T01:29:14.413360](https://huggingface.co/datasets/open-llm-leaderboard/details_sr5434__CodegebraGPT-10b/blob/main/results_2024-01-05T01-29-14.413360.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\": 0.6027565325073367,\n\ \ \"acc_stderr\": 0.03330413486893907,\n \"acc_norm\": 0.605828746614574,\n\ \ \"acc_norm_stderr\": 0.03399227272363922,\n \"mc1\": 0.3219094247246022,\n\ \ \"mc1_stderr\": 0.016355567611960404,\n \"mc2\": 0.46569772860679925,\n\ \ \"mc2_stderr\": 0.014510196356063874\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5571672354948806,\n \"acc_stderr\": 0.014515573873348911,\n\ \ \"acc_norm\": 0.5981228668941979,\n \"acc_norm_stderr\": 0.014327268614578274\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6385182234614618,\n\ \ \"acc_stderr\": 0.004794478426382608,\n \"acc_norm\": 0.834196375224059,\n\ \ \"acc_norm_stderr\": 0.0037114419828661815\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145632,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.562962962962963,\n\ \ \"acc_stderr\": 0.04284958639753401,\n \"acc_norm\": 0.562962962962963,\n\ \ \"acc_norm_stderr\": 0.04284958639753401\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\": 0.62,\n\ \ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \ \ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6452830188679245,\n \"acc_stderr\": 0.02944517532819959,\n\ \ \"acc_norm\": 0.6452830188679245,\n \"acc_norm_stderr\": 0.02944517532819959\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6666666666666666,\n\ \ \"acc_stderr\": 0.03942082639927213,\n \"acc_norm\": 0.6666666666666666,\n\ \ \"acc_norm_stderr\": 0.03942082639927213\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956911,\n \ \ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956911\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.48,\n\ \ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\ \ \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5895953757225434,\n\ \ \"acc_stderr\": 0.03750757044895537,\n \"acc_norm\": 0.5895953757225434,\n\ \ \"acc_norm_stderr\": 0.03750757044895537\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.04951218252396264,\n\ \ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.04951218252396264\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.69,\n\ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5106382978723404,\n \"acc_stderr\": 0.03267862331014063,\n\ \ \"acc_norm\": 0.5106382978723404,\n \"acc_norm_stderr\": 0.03267862331014063\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.40350877192982454,\n\ \ \"acc_stderr\": 0.046151869625837026,\n \"acc_norm\": 0.40350877192982454,\n\ \ \"acc_norm_stderr\": 0.046151869625837026\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.47586206896551725,\n \"acc_stderr\": 0.041618085035015295,\n\ \ \"acc_norm\": 0.47586206896551725,\n \"acc_norm_stderr\": 0.041618085035015295\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.37566137566137564,\n \"acc_stderr\": 0.024942368931159795,\n \"\ acc_norm\": 0.37566137566137564,\n \"acc_norm_stderr\": 0.024942368931159795\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.42063492063492064,\n\ \ \"acc_stderr\": 0.04415438226743744,\n \"acc_norm\": 0.42063492063492064,\n\ \ \"acc_norm_stderr\": 0.04415438226743744\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7387096774193549,\n\ \ \"acc_stderr\": 0.024993053397764826,\n \"acc_norm\": 0.7387096774193549,\n\ \ \"acc_norm_stderr\": 0.024993053397764826\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.3645320197044335,\n \"acc_stderr\": 0.033864057460620905,\n\ \ \"acc_norm\": 0.3645320197044335,\n \"acc_norm_stderr\": 0.033864057460620905\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.62,\n \"acc_stderr\": 0.04878317312145632,\n \"acc_norm\"\ : 0.62,\n \"acc_norm_stderr\": 0.04878317312145632\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7636363636363637,\n \"acc_stderr\": 0.03317505930009181,\n\ \ \"acc_norm\": 0.7636363636363637,\n \"acc_norm_stderr\": 0.03317505930009181\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7626262626262627,\n \"acc_stderr\": 0.030313710538198906,\n \"\ acc_norm\": 0.7626262626262627,\n \"acc_norm_stderr\": 0.030313710538198906\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8756476683937824,\n \"acc_stderr\": 0.023814477086593556,\n\ \ \"acc_norm\": 0.8756476683937824,\n \"acc_norm_stderr\": 0.023814477086593556\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5743589743589743,\n \"acc_stderr\": 0.025069094387296535,\n\ \ \"acc_norm\": 0.5743589743589743,\n \"acc_norm_stderr\": 0.025069094387296535\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3592592592592593,\n \"acc_stderr\": 0.029252905927251976,\n \ \ \"acc_norm\": 0.3592592592592593,\n \"acc_norm_stderr\": 0.029252905927251976\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.5798319327731093,\n \"acc_stderr\": 0.03206183783236152,\n \ \ \"acc_norm\": 0.5798319327731093,\n \"acc_norm_stderr\": 0.03206183783236152\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8,\n \"acc_stderr\": 0.017149858514250955,\n \"acc_norm\": 0.8,\n\ \ \"acc_norm_stderr\": 0.017149858514250955\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\ : {\n \"acc\": 0.5277777777777778,\n \"acc_stderr\": 0.0340470532865388,\n\ \ \"acc_norm\": 0.5277777777777778,\n \"acc_norm_stderr\": 0.0340470532865388\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7794117647058824,\n \"acc_stderr\": 0.029102254389674082,\n \"\ acc_norm\": 0.7794117647058824,\n \"acc_norm_stderr\": 0.029102254389674082\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7890295358649789,\n \"acc_stderr\": 0.02655837250266192,\n \ \ \"acc_norm\": 0.7890295358649789,\n \"acc_norm_stderr\": 0.02655837250266192\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6502242152466368,\n\ \ \"acc_stderr\": 0.03200736719484503,\n \"acc_norm\": 0.6502242152466368,\n\ \ \"acc_norm_stderr\": 0.03200736719484503\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\":\ \ 0.7520661157024794,\n \"acc_stderr\": 0.03941897526516303,\n \"\ acc_norm\": 0.7520661157024794,\n \"acc_norm_stderr\": 0.03941897526516303\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6574074074074074,\n\ \ \"acc_stderr\": 0.045879047413018105,\n \"acc_norm\": 0.6574074074074074,\n\ \ \"acc_norm_stderr\": 0.045879047413018105\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7055214723926381,\n \"acc_stderr\": 0.03581165790474082,\n\ \ \"acc_norm\": 0.7055214723926381,\n \"acc_norm_stderr\": 0.03581165790474082\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4642857142857143,\n\ \ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\ \ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8589743589743589,\n\ \ \"acc_stderr\": 0.02280138253459754,\n \"acc_norm\": 0.8589743589743589,\n\ \ \"acc_norm_stderr\": 0.02280138253459754\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\": 0.7841634738186463,\n\ \ \"acc_stderr\": 0.014711684386139946,\n \"acc_norm\": 0.7841634738186463,\n\ \ \"acc_norm_stderr\": 0.014711684386139946\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.661849710982659,\n \"acc_stderr\": 0.025469770149400175,\n\ \ \"acc_norm\": 0.661849710982659,\n \"acc_norm_stderr\": 0.025469770149400175\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.30614525139664805,\n\ \ \"acc_stderr\": 0.015414494487903219,\n \"acc_norm\": 0.30614525139664805,\n\ \ \"acc_norm_stderr\": 0.015414494487903219\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.696078431372549,\n \"acc_stderr\": 0.026336613469046626,\n\ \ \"acc_norm\": 0.696078431372549,\n \"acc_norm_stderr\": 0.026336613469046626\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6366559485530546,\n\ \ \"acc_stderr\": 0.027316847674192714,\n \"acc_norm\": 0.6366559485530546,\n\ \ \"acc_norm_stderr\": 0.027316847674192714\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6820987654320988,\n \"acc_stderr\": 0.02591006352824088,\n\ \ \"acc_norm\": 0.6820987654320988,\n \"acc_norm_stderr\": 0.02591006352824088\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.42907801418439717,\n \"acc_stderr\": 0.02952591430255856,\n \ \ \"acc_norm\": 0.42907801418439717,\n \"acc_norm_stderr\": 0.02952591430255856\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4511082138200782,\n\ \ \"acc_stderr\": 0.012709037347346233,\n \"acc_norm\": 0.4511082138200782,\n\ \ \"acc_norm_stderr\": 0.012709037347346233\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6066176470588235,\n \"acc_stderr\": 0.029674288281311155,\n\ \ \"acc_norm\": 0.6066176470588235,\n \"acc_norm_stderr\": 0.029674288281311155\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.5947712418300654,\n \"acc_stderr\": 0.019861155193829163,\n \ \ \"acc_norm\": 0.5947712418300654,\n \"acc_norm_stderr\": 0.019861155193829163\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6454545454545455,\n\ \ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\ \ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7020408163265306,\n \"acc_stderr\": 0.029279567411065677,\n\ \ \"acc_norm\": 0.7020408163265306,\n \"acc_norm_stderr\": 0.029279567411065677\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8208955223880597,\n\ \ \"acc_stderr\": 0.027113286753111837,\n \"acc_norm\": 0.8208955223880597,\n\ \ \"acc_norm_stderr\": 0.027113286753111837\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036625,\n \ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036625\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4819277108433735,\n\ \ \"acc_stderr\": 0.038899512528272166,\n \"acc_norm\": 0.4819277108433735,\n\ \ \"acc_norm_stderr\": 0.038899512528272166\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.783625730994152,\n \"acc_stderr\": 0.031581495393387345,\n\ \ \"acc_norm\": 0.783625730994152,\n \"acc_norm_stderr\": 0.031581495393387345\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3219094247246022,\n\ \ \"mc1_stderr\": 0.016355567611960404,\n \"mc2\": 0.46569772860679925,\n\ \ \"mc2_stderr\": 0.014510196356063874\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8097868981846882,\n \"acc_stderr\": 0.011030335798617442\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.45109931766489764,\n \ \ \"acc_stderr\": 0.013706458809664817\n }\n}\n```" repo_url: https://huggingface.co/sr5434/CodegebraGPT-10b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|arc:challenge|25_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|arc:challenge|25_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-01-05T01-29-14.413360.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|gsm8k|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|gsm8k|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hellaswag|10_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hellaswag|10_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-30T15-18-52.631261.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-05T01-29-14.413360.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-management|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-management|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T01-29-14.413360.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|truthfulqa:mc|0_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|truthfulqa:mc|0_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-01-05T01-29-14.413360.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_30T15_18_52.631261 path: - '**/details_harness|winogrande|5_2023-12-30T15-18-52.631261.parquet' - split: 2024_01_05T01_29_14.413360 path: - '**/details_harness|winogrande|5_2024-01-05T01-29-14.413360.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-01-05T01-29-14.413360.parquet' - config_name: results data_files: - split: 2023_12_30T15_18_52.631261 path: - results_2023-12-30T15-18-52.631261.parquet - split: 2024_01_05T01_29_14.413360 path: - results_2024-01-05T01-29-14.413360.parquet - split: latest path: - results_2024-01-05T01-29-14.413360.parquet --- # Dataset Card for Evaluation run of sr5434/CodegebraGPT-10b  Dataset automatically created during the evaluation run of model [sr5434/CodegebraGPT-10b](https://huggingface.co/sr5434/CodegebraGPT-10b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_sr5434__CodegebraGPT-10b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-05T01:29:14.413360](https://huggingface.co/datasets/open-llm-leaderboard/details_sr5434__CodegebraGPT-10b/blob/main/results_2024-01-05T01-29-14.413360.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": 0.6027565325073367, "acc_stderr": 0.03330413486893907, "acc_norm": 0.605828746614574, "acc_norm_stderr": 0.03399227272363922, "mc1": 0.3219094247246022, "mc1_stderr": 0.016355567611960404, "mc2": 0.46569772860679925, "mc2_stderr": 0.014510196356063874 }, "harness|arc:challenge|25": { "acc": 0.5571672354948806, "acc_stderr": 0.014515573873348911, "acc_norm": 0.5981228668941979, "acc_norm_stderr": 0.014327268614578274 }, "harness|hellaswag|10": { "acc": 0.6385182234614618, "acc_stderr": 0.004794478426382608, "acc_norm": 0.834196375224059, "acc_norm_stderr": 0.0037114419828661815 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.562962962962963, "acc_stderr": 0.04284958639753401, "acc_norm": 0.562962962962963, "acc_norm_stderr": 0.04284958639753401 }, "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": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6452830188679245, "acc_stderr": 0.02944517532819959, "acc_norm": 0.6452830188679245, "acc_norm_stderr": 0.02944517532819959 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6666666666666666, "acc_stderr": 0.03942082639927213, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.03942082639927213 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.49, "acc_stderr": 0.05024183937956911, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5895953757225434, "acc_stderr": 0.03750757044895537, "acc_norm": 0.5895953757225434, "acc_norm_stderr": 0.03750757044895537 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.45098039215686275, "acc_stderr": 0.04951218252396264, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.04951218252396264 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5106382978723404, "acc_stderr": 0.03267862331014063, "acc_norm": 0.5106382978723404, "acc_norm_stderr": 0.03267862331014063 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.40350877192982454, "acc_stderr": 0.046151869625837026, "acc_norm": 0.40350877192982454, "acc_norm_stderr": 0.046151869625837026 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.47586206896551725, "acc_stderr": 0.041618085035015295, "acc_norm": 0.47586206896551725, "acc_norm_stderr": 0.041618085035015295 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.37566137566137564, "acc_stderr": 0.024942368931159795, "acc_norm": 0.37566137566137564, "acc_norm_stderr": 0.024942368931159795 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.42063492063492064, "acc_stderr": 0.04415438226743744, "acc_norm": 0.42063492063492064, "acc_norm_stderr": 0.04415438226743744 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7387096774193549, "acc_stderr": 0.024993053397764826, "acc_norm": 0.7387096774193549, "acc_norm_stderr": 0.024993053397764826 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3645320197044335, "acc_stderr": 0.033864057460620905, "acc_norm": 0.3645320197044335, "acc_norm_stderr": 0.033864057460620905 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.62, "acc_stderr": 0.04878317312145632, "acc_norm": 0.62, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7636363636363637, "acc_stderr": 0.03317505930009181, "acc_norm": 0.7636363636363637, "acc_norm_stderr": 0.03317505930009181 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7626262626262627, "acc_stderr": 0.030313710538198906, "acc_norm": 0.7626262626262627, "acc_norm_stderr": 0.030313710538198906 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8756476683937824, "acc_stderr": 0.023814477086593556, "acc_norm": 0.8756476683937824, "acc_norm_stderr": 0.023814477086593556 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5743589743589743, "acc_stderr": 0.025069094387296535, "acc_norm": 0.5743589743589743, "acc_norm_stderr": 0.025069094387296535 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3592592592592593, "acc_stderr": 0.029252905927251976, "acc_norm": 0.3592592592592593, "acc_norm_stderr": 0.029252905927251976 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.5798319327731093, "acc_stderr": 0.03206183783236152, "acc_norm": 0.5798319327731093, "acc_norm_stderr": 0.03206183783236152 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8, "acc_stderr": 0.017149858514250955, "acc_norm": 0.8, "acc_norm_stderr": 0.017149858514250955 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5277777777777778, "acc_stderr": 0.0340470532865388, "acc_norm": 0.5277777777777778, "acc_norm_stderr": 0.0340470532865388 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7794117647058824, "acc_stderr": 0.029102254389674082, "acc_norm": 0.7794117647058824, "acc_norm_stderr": 0.029102254389674082 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7890295358649789, "acc_stderr": 0.02655837250266192, "acc_norm": 0.7890295358649789, "acc_norm_stderr": 0.02655837250266192 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6502242152466368, "acc_stderr": 0.03200736719484503, "acc_norm": 0.6502242152466368, "acc_norm_stderr": 0.03200736719484503 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6946564885496184, "acc_stderr": 0.04039314978724561, "acc_norm": 0.6946564885496184, "acc_norm_stderr": 0.04039314978724561 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7520661157024794, "acc_stderr": 0.03941897526516303, "acc_norm": 0.7520661157024794, "acc_norm_stderr": 0.03941897526516303 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.6574074074074074, "acc_stderr": 0.045879047413018105, "acc_norm": 0.6574074074074074, "acc_norm_stderr": 0.045879047413018105 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7055214723926381, "acc_stderr": 0.03581165790474082, "acc_norm": 0.7055214723926381, "acc_norm_stderr": 0.03581165790474082 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4642857142857143, "acc_stderr": 0.04733667890053756, "acc_norm": 0.4642857142857143, "acc_norm_stderr": 0.04733667890053756 }, "harness|hendrycksTest-management|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8589743589743589, "acc_stderr": 0.02280138253459754, "acc_norm": 0.8589743589743589, "acc_norm_stderr": 0.02280138253459754 }, "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": 0.7841634738186463, "acc_stderr": 0.014711684386139946, "acc_norm": 0.7841634738186463, "acc_norm_stderr": 0.014711684386139946 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.661849710982659, "acc_stderr": 0.025469770149400175, "acc_norm": 0.661849710982659, "acc_norm_stderr": 0.025469770149400175 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.30614525139664805, "acc_stderr": 0.015414494487903219, "acc_norm": 0.30614525139664805, "acc_norm_stderr": 0.015414494487903219 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.696078431372549, "acc_stderr": 0.026336613469046626, "acc_norm": 0.696078431372549, "acc_norm_stderr": 0.026336613469046626 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6366559485530546, "acc_stderr": 0.027316847674192714, "acc_norm": 0.6366559485530546, "acc_norm_stderr": 0.027316847674192714 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6820987654320988, "acc_stderr": 0.02591006352824088, "acc_norm": 0.6820987654320988, "acc_norm_stderr": 0.02591006352824088 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.42907801418439717, "acc_stderr": 0.02952591430255856, "acc_norm": 0.42907801418439717, "acc_norm_stderr": 0.02952591430255856 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4511082138200782, "acc_stderr": 0.012709037347346233, "acc_norm": 0.4511082138200782, "acc_norm_stderr": 0.012709037347346233 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6066176470588235, "acc_stderr": 0.029674288281311155, "acc_norm": 0.6066176470588235, "acc_norm_stderr": 0.029674288281311155 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.5947712418300654, "acc_stderr": 0.019861155193829163, "acc_norm": 0.5947712418300654, "acc_norm_stderr": 0.019861155193829163 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6454545454545455, "acc_stderr": 0.045820048415054174, "acc_norm": 0.6454545454545455, "acc_norm_stderr": 0.045820048415054174 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7020408163265306, "acc_stderr": 0.029279567411065677, "acc_norm": 0.7020408163265306, "acc_norm_stderr": 0.029279567411065677 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8208955223880597, "acc_stderr": 0.027113286753111837, "acc_norm": 0.8208955223880597, "acc_norm_stderr": 0.027113286753111837 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.81, "acc_stderr": 0.03942772444036625, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036625 }, "harness|hendrycksTest-virology|5": { "acc": 0.4819277108433735, "acc_stderr": 0.038899512528272166, "acc_norm": 0.4819277108433735, "acc_norm_stderr": 0.038899512528272166 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.783625730994152, "acc_stderr": 0.031581495393387345, "acc_norm": 0.783625730994152, "acc_norm_stderr": 0.031581495393387345 }, "harness|truthfulqa:mc|0": { "mc1": 0.3219094247246022, "mc1_stderr": 0.016355567611960404, "mc2": 0.46569772860679925, "mc2_stderr": 0.014510196356063874 }, "harness|winogrande|5": { "acc": 0.8097868981846882, "acc_stderr": 0.011030335798617442 }, "harness|gsm8k|5": { "acc": 0.45109931766489764, "acc_stderr": 0.013706458809664817 } } ``` ## Dataset Details ### Dataset Description  - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

liuyanchen1015/MULTI_VALUE_stsb_it_is_referential

--- dataset_info: features: - name: sentence1 dtype: string - name: sentence2 dtype: string - name: score dtype: float64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 727 num_examples: 4 - name: test num_bytes: 247 num_examples: 2 - name: train num_bytes: 1164 num_examples: 6 download_size: 9992 dataset_size: 2138 --- # Dataset Card for "MULTI_VALUE_stsb_it_is_referential" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

distinsion/generated_images

--- size_categories: n<1K config_names: - text_field_for_argilla tags: - synthetic - distilabel - rlaif --- <p align="left"> <a href="https://github.com/argilla-io/distilabel"> <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/> </a> </p> # Dataset Card for generated_images This dataset has been created with [Distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/distinsion/generated_images/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/distinsion/generated_images/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: text_field_for_argilla </summary><hr> ```json { "evolved_instruction": "Can you identify the species of this bird?", "generated_image_url": "https://oaidalleapiprodscus.blob.core.windows.net/private/org-2FK3RSLIytfK9EtweFtnnAfg/user-hfvBma1cXbdtoCf3WES95wiB/img-7xYV261geAAr9mjtMy829srS.png?st=2024-04-12T09%3A20%3A52Z\u0026se=2024-04-12T11%3A20%3A52Z\u0026sp=r\u0026sv=2021-08-06\u0026sr=b\u0026rscd=inline\u0026rsct=image/png\u0026skoid=6aaadede-4fb3-4698-a8f6-684d7786b067\u0026sktid=a48cca56-e6da-484e-a814-9c849652bcb3\u0026skt=2024-04-12T08%3A04%3A02Z\u0026ske=2024-04-13T08%3A04%3A02Z\u0026sks=b\u0026skv=2021-08-06\u0026sig=4zCigddawumNANK4bsEREFv2wUA%2BeKZwzQ/4YvmlaOQ%3D", "generated_instruction": "What species is depicted in the image, and can you provide some details about its natural habitat and adaptations?", "generated_response": "The image shows a llama, which is native to the Andes Mountains in South America. Llamas are well adapted to the high altitude and cold temperatures of the mountains, with their thick", "generation": "The image you provided is actually of a Highland cow, not a bird. Highland cows are a Scottish breed of cattle known for their long horns and shaggy coats. They are well adapted to the cold weather of the Scottish Highlands.", "image_gen_prompt": "Create an image of a llama standing in a mountain grassland setting, with the Andes Mountains visible in the background. The llama should appear fluffy and predominantly white with some light brown patches. It should be shown early in the morning with light mist swirling around, suggesting a chilly climate.", "instruction_with_image": [ { "content": [ { "image_url": null, "text": "Can you identify the species of this bird?", "type": "text" }, { "image_url": { "url": "https://picsum.photos/id/200/1920/1280" }, "text": null, "type": "image_url" } ], "role": "user" } ], "model_name": "gpt-4-turbo-2024-04-09", "text_field_for_argilla": "**Instruction**: What species is depicted in the image, and can you provide some details about its natural habitat and adaptations?\n\n![Generated Image](https://oaidalleapiprodscus.blob.core.windows.net/private/org-2FK3RSLIytfK9EtweFtnnAfg/user-hfvBma1cXbdtoCf3WES95wiB/img-7xYV261geAAr9mjtMy829srS.png?st=2024-04-12T09%3A20%3A52Z\u0026se=2024-04-12T11%3A20%3A52Z\u0026sp=r\u0026sv=2021-08-06\u0026sr=b\u0026rscd=inline\u0026rsct=image/png\u0026skoid=6aaadede-4fb3-4698-a8f6-684d7786b067\u0026sktid=a48cca56-e6da-484e-a814-9c849652bcb3\u0026skt=2024-04-12T08%3A04%3A02Z\u0026ske=2024-04-13T08%3A04%3A02Z\u0026sks=b\u0026skv=2021-08-06\u0026sig=4zCigddawumNANK4bsEREFv2wUA%2BeKZwzQ/4YvmlaOQ%3D)\n\n**Response**: The image shows a llama, which is native to the Andes Mountains in South America. Llamas are well adapted to the high altitude and cold temperatures of the mountains, with their thick\n" } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("distinsion/generated_images", "text_field_for_argilla") ``` </details>

Ondiet/bert_model

--- license: openrail ---

Jephson/edited-sky-dataset-4

--- dataset_info: features: - name: original_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 325824748.72 num_examples: 1120 download_size: 325957005 dataset_size: 325824748.72 --- # Dataset Card for "edited-sky-dataset-4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

delphi-suite/v0-next-logprobs-llama2-200k

--- dataset_info: features: - name: logprobs sequence: float64 splits: - name: validation num_bytes: 45818277 num_examples: 10982 download_size: 37571491 dataset_size: 45818277 configs: - config_name: default data_files: - split: validation path: data/validation-* ---

results-sd-v1-5-sd-v2-1-if-v1-0-karlo/bcd1c9db

--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 184 num_examples: 10 download_size: 1341 dataset_size: 184 --- # Dataset Card for "bcd1c9db" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

irds/clinicaltrials_2019

--- pretty_name: '`clinicaltrials/2019`' viewer: false source_datasets: [] task_categories: - text-retrieval --- # Dataset Card for `clinicaltrials/2019` The `clinicaltrials/2019` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/clinicaltrials#clinicaltrials/2019). # Data This dataset provides: - `docs` (documents, i.e., the corpus); count=306,238 This dataset is used by: [`clinicaltrials_2019_trec-pm-2019`](https://huggingface.co/datasets/irds/clinicaltrials_2019_trec-pm-2019) ## Usage ```python from datasets import load_dataset docs = load_dataset('irds/clinicaltrials_2019', 'docs') for record in docs: record # {'doc_id': ..., 'title': ..., 'condition': ..., 'summary': ..., 'detailed_description': ..., 'eligibility': ...} ``` Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format.

CyberHarem/todoroki_nene_seitokaiyakuindomo

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Todoroki Nene (Seitokai Yakuindomo) This is the dataset of Todoroki Nene (Seitokai Yakuindomo), containing 88 images and their tags. The core tags of this character are `brown_hair, glasses, brown_eyes, bow, short_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:----------|:----------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 88 | 47.10 MiB | [Download](https://huggingface.co/datasets/CyberHarem/todoroki_nene_seitokaiyakuindomo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 88 | 39.05 MiB | [Download](https://huggingface.co/datasets/CyberHarem/todoroki_nene_seitokaiyakuindomo/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 190 | 80.19 MiB | [Download](https://huggingface.co/datasets/CyberHarem/todoroki_nene_seitokaiyakuindomo/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 88 | 47.07 MiB | [Download](https://huggingface.co/datasets/CyberHarem/todoroki_nene_seitokaiyakuindomo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 190 | 93.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/todoroki_nene_seitokaiyakuindomo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/todoroki_nene_seitokaiyakuindomo', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:------------------------------------------------| | 0 | 15 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, school_uniform, solo, blazer, smile | | 1 | 5 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, closed_eyes, school_uniform, smile, solo | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | school_uniform | solo | blazer | smile | closed_eyes | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------------|:-------|:---------|:--------|:--------------| | 0 | 15 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | | | 1 | 5 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | X | X | | X | X |

communityai/aptchat-v2-general-12k

--- dataset_info: features: - name: category dtype: string - name: total_tokens dtype: int64 - name: conversations list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 163318716.0 num_examples: 12197 download_size: 86039185 dataset_size: 163318716.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

Hiraishin/ujianjpj-tanda-isyarat

--- license: apache-2.0 ---

bazyl/GTSRB

--- annotations_creators: - crowdsourced language_creators: - found language: [] license: - gpl-3.0 multilinguality: [] size_categories: - 10K<n<100K source_datasets: - original task_categories: - image-classification task_ids: - multi-label-image-classification pretty_name: GTSRB --- # Dataset Card for GTSRB ## 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:** http://www.sciencedirect.com/science/article/pii/S0893608012000457 - **Repository:** https://github.com/bazylhorsey/gtsrb/ - **Paper:** Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition - **Leaderboard:** https://benchmark.ini.rub.de/gtsrb_results.html - **Point of Contact:** bhorsey16@gmail.com ### Dataset Summary The German Traffic Sign Benchmark is a multi-class, single-image classification challenge held at the International Joint Conference on Neural Networks (IJCNN) 2011. We cordially invite researchers from relevant fields to participate: The competition is designed to allow for participation without special domain knowledge. Our benchmark has the following properties: - Single-image, multi-class classification problem - More than 40 classes - More than 50,000 images in total - Large, lifelike database ### Supported Tasks and Leaderboards [Kaggle](https://www.kaggle.com/datasets/meowmeowmeowmeowmeow/gtsrb-german-traffic-sign) \ [Original](https://benchmark.ini.rub.de/gtsrb_results.html) ## Dataset Structure ### Data Instances ``` { "Width": 31, "Height": 31, "Roi.X1": 6, "Roi.Y1": 6, "Roi.X2": 26, "Roi.Y2": 26, "ClassId": 20, "Path": "Train/20/00020_00004_00002.png", } ``` ### Data Fields - Width: width of image - Height: Height of image - Roi.X1: Upper left X coordinate - Roi.Y1: Upper left Y coordinate - Roi.X2: Lower right t X coordinate - Roi.Y2: Lower right Y coordinate - ClassId: Class of image - Path: Path of image ### Data Splits Categories: 42 Train: 39209 Test: 12630 ## Dataset Creation ### Curation Rationale Recognition of traffic signs is a challenging real-world problem of high industrial relevance. Although commercial systems have reached the market and several studies on this topic have been published, systematic unbiased comparisons of different approaches are missing and comprehensive benchmark datasets are not freely available. Traffic sign recognition is a multi-class classification problem with unbalanced class frequencies. Traffic signs can provide a wide range of variations between classes in terms of color, shape, and the presence of pictograms or text. However, there exist subsets of classes (e. g., speed limit signs) that are very similar to each other. The classifier has to cope with large variations in visual appearances due to illumination changes, partial occlusions, rotations, weather conditions, etc. Humans are capable of recognizing the large variety of existing road signs with close to 100% correctness. This does not only apply to real-world driving, which provides both context and multiple views of a single traffic sign, but also to the recognition from single images.

iahlt/alarab_articles

--- dataset_info: features: - name: url dtype: string - name: title dtype: string - name: description dtype: string - name: meta_keywords sequence: string - name: tags sequence: string - name: public_date dtype: string - name: author dtype: string - name: subtitle dtype: string - name: view dtype: int64 - name: main_category dtype: string - name: sub_category dtype: string - name: city dtype: string - name: text dtype: string - name: title_len dtype: int64 - name: description_len dtype: int64 - name: public_date_len dtype: float64 - name: subtitle_len dtype: float64 - name: text_len dtype: int64 splits: - name: train num_bytes: 497537790 num_examples: 145069 download_size: 211536806 dataset_size: 497537790 configs: - config_name: default data_files: - split: train path: data/train-* task_categories: - feature-extraction - fill-mask language: - ar --- ### Description Scraped articles from alarab (~145,069 articles) ### Usage ```python from datasets import load_dataset ds = load_dataset("iahlt/alarab_articles") ``` ### Sample ```json {'url': 'https://www.alarab.co.il/Article/1038538', 'title': 'وفيات النقب | الحاجة فاطمة البحيري في ذمة الله', 'description': 'انتقلت إلى رحمته تعالى مساء اليوم، السبت، في اللقية الحاجة فاطمة حسن الأسد-البحيري (أم سلمان) عن عمر ناهز 93 عاما. والمرحومة هي أرملة المرحوم علي البحيري.ومن المتوقع أن يتم تشييع جثمانها الطاهر إلى أول منازل الآخرة في مقبرة خربة اللقية صب', 'meta_keywords': ['اخبار اليوم، موقع العرب، اخبار العرب، موقع أخبار ، رياضة ، سياسة ، فن عالمي ، فن عربي ، اقتصاد ، موسيقى ، ترفيه ، ألعاب ، سيارات ، أغاني ، كليبات ، افلام عربية ، صور جميلات العرب ومشاهير العرب'], 'tags': ['حالة الطقس', 'اسعار العملات مقابل الشيكل', 'الطقس', 'حالة الطقس اليوم'], 'public_date': '09/07/22 22:40', 'author': 'ياسر العقبي', 'subtitle': 'وفيات النقب | الحاجة فاطمة البحيري في ذمة الله', 'view': 20, 'main_category': 'أخبار', 'sub_category': 'وفيات', 'city': None, 'text': 'انتقلت إلى رحمته تعالى مساء اليوم، السبت، في اللقية الحاجة فاطمة حسن الأسد-البحيري (أم سلمان) عن عمر ناهز 93 عاما. والمرحومة هي أرملة المرحوم علي البحيري.ومن المتوقع أن يتم تشييع جثمانها الطاهر إلى أول منازل الآخرة في مقبرة خربة اللقية صباح يوم غد الأحد.تقبل التعازي في خيمة العزاء بالقرب من بيت الفقيدة.', 'title_len': 46, 'description_len': 238, 'public_date_len': 14.0, 'subtitle_len': 46.0, 'text_len': 304} ``` ### Citation If you use this dataset, please cite: ``` @InProceedings{iahlt2023alarab_articles, author = "iahlt", title = "Arabic Corpus: Alarab", year = "2023", publisher = "", location = "", } ```

open-llm-leaderboard/details_genaicore3434__Mistral-7b-instruct-v0.2-summ-sft-lp-e1

--- pretty_name: Evaluation run of genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1](https://huggingface.co/genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_genaicore3434__Mistral-7b-instruct-v0.2-summ-sft-lp-e1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-21T06:47:29.951488](https://huggingface.co/datasets/open-llm-leaderboard/details_genaicore3434__Mistral-7b-instruct-v0.2-summ-sft-lp-e1/blob/main/results_2024-01-21T06-47-29.951488.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\": 0.59052978065543,\n\ \ \"acc_stderr\": 0.03349268505074206,\n \"acc_norm\": 0.5952047695238794,\n\ \ \"acc_norm_stderr\": 0.03418111471832376,\n \"mc1\": 0.4663402692778458,\n\ \ \"mc1_stderr\": 0.017463793867168106,\n \"mc2\": 0.6325766616332602,\n\ \ \"mc2_stderr\": 0.015487593519142183\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5477815699658704,\n \"acc_stderr\": 0.014544519880633825,\n\ \ \"acc_norm\": 0.5955631399317406,\n \"acc_norm_stderr\": 0.01434203648343618\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6301533559051982,\n\ \ \"acc_stderr\": 0.004817763581410245,\n \"acc_norm\": 0.8227444732125074,\n\ \ \"acc_norm_stderr\": 0.0038110434120246627\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\": 0.562962962962963,\n\ \ \"acc_stderr\": 0.04284958639753401,\n \"acc_norm\": 0.562962962962963,\n\ \ \"acc_norm_stderr\": 0.04284958639753401\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6052631578947368,\n \"acc_stderr\": 0.039777499346220734,\n\ \ \"acc_norm\": 0.6052631578947368,\n \"acc_norm_stderr\": 0.039777499346220734\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n\ \ \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\": 0.57,\n \ \ \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6377358490566037,\n \"acc_stderr\": 0.0295822451283843,\n\ \ \"acc_norm\": 0.6377358490566037,\n \"acc_norm_stderr\": 0.0295822451283843\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6527777777777778,\n\ \ \"acc_stderr\": 0.039812405437178615,\n \"acc_norm\": 0.6527777777777778,\n\ \ \"acc_norm_stderr\": 0.039812405437178615\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \ \ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.049756985195624284\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\"\ : 0.54,\n \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5780346820809249,\n\ \ \"acc_stderr\": 0.0376574669386515,\n \"acc_norm\": 0.5780346820809249,\n\ \ \"acc_norm_stderr\": 0.0376574669386515\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4019607843137255,\n \"acc_stderr\": 0.04878608714466996,\n\ \ \"acc_norm\": 0.4019607843137255,\n \"acc_norm_stderr\": 0.04878608714466996\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.67,\n \"acc_stderr\": 0.04725815626252609,\n \"acc_norm\": 0.67,\n\ \ \"acc_norm_stderr\": 0.04725815626252609\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5148936170212766,\n \"acc_stderr\": 0.03267151848924777,\n\ \ \"acc_norm\": 0.5148936170212766,\n \"acc_norm_stderr\": 0.03267151848924777\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.39473684210526316,\n\ \ \"acc_stderr\": 0.045981880578165414,\n \"acc_norm\": 0.39473684210526316,\n\ \ \"acc_norm_stderr\": 0.045981880578165414\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.593103448275862,\n \"acc_stderr\": 0.04093793981266236,\n\ \ \"acc_norm\": 0.593103448275862,\n \"acc_norm_stderr\": 0.04093793981266236\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.37566137566137564,\n \"acc_stderr\": 0.024942368931159788,\n \"\ acc_norm\": 0.37566137566137564,\n \"acc_norm_stderr\": 0.024942368931159788\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3968253968253968,\n\ \ \"acc_stderr\": 0.043758884927270605,\n \"acc_norm\": 0.3968253968253968,\n\ \ \"acc_norm_stderr\": 0.043758884927270605\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6612903225806451,\n\ \ \"acc_stderr\": 0.026923446059302837,\n \"acc_norm\": 0.6612903225806451,\n\ \ \"acc_norm_stderr\": 0.026923446059302837\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5073891625615764,\n \"acc_stderr\": 0.0351760354036101,\n\ \ \"acc_norm\": 0.5073891625615764,\n \"acc_norm_stderr\": 0.0351760354036101\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\"\ : 0.57,\n \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.703030303030303,\n \"acc_stderr\": 0.035679697722680495,\n\ \ \"acc_norm\": 0.703030303030303,\n \"acc_norm_stderr\": 0.035679697722680495\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7424242424242424,\n \"acc_stderr\": 0.03115626951964683,\n \"\ acc_norm\": 0.7424242424242424,\n \"acc_norm_stderr\": 0.03115626951964683\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8341968911917098,\n \"acc_stderr\": 0.026839845022314415,\n\ \ \"acc_norm\": 0.8341968911917098,\n \"acc_norm_stderr\": 0.026839845022314415\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5384615384615384,\n \"acc_stderr\": 0.025275892070240644,\n\ \ \"acc_norm\": 0.5384615384615384,\n \"acc_norm_stderr\": 0.025275892070240644\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.35555555555555557,\n \"acc_stderr\": 0.029185714949857406,\n \ \ \"acc_norm\": 0.35555555555555557,\n \"acc_norm_stderr\": 0.029185714949857406\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.5546218487394958,\n \"acc_stderr\": 0.0322841062671639,\n \ \ \"acc_norm\": 0.5546218487394958,\n \"acc_norm_stderr\": 0.0322841062671639\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7834862385321101,\n \"acc_stderr\": 0.017658710594443128,\n \"\ acc_norm\": 0.7834862385321101,\n \"acc_norm_stderr\": 0.017658710594443128\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4583333333333333,\n \"acc_stderr\": 0.03398110890294636,\n \"\ acc_norm\": 0.4583333333333333,\n \"acc_norm_stderr\": 0.03398110890294636\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7549019607843137,\n \"acc_stderr\": 0.030190282453501947,\n \"\ acc_norm\": 0.7549019607843137,\n \"acc_norm_stderr\": 0.030190282453501947\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7552742616033755,\n \"acc_stderr\": 0.027985699387036423,\n \ \ \"acc_norm\": 0.7552742616033755,\n \"acc_norm_stderr\": 0.027985699387036423\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6143497757847534,\n\ \ \"acc_stderr\": 0.03266842214289201,\n \"acc_norm\": 0.6143497757847534,\n\ \ \"acc_norm_stderr\": 0.03266842214289201\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7175572519083969,\n \"acc_stderr\": 0.03948406125768361,\n\ \ \"acc_norm\": 0.7175572519083969,\n \"acc_norm_stderr\": 0.03948406125768361\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7520661157024794,\n \"acc_stderr\": 0.03941897526516303,\n \"\ acc_norm\": 0.7520661157024794,\n \"acc_norm_stderr\": 0.03941897526516303\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7407407407407407,\n\ \ \"acc_stderr\": 0.04236511258094634,\n \"acc_norm\": 0.7407407407407407,\n\ \ \"acc_norm_stderr\": 0.04236511258094634\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7055214723926381,\n \"acc_stderr\": 0.03581165790474082,\n\ \ \"acc_norm\": 0.7055214723926381,\n \"acc_norm_stderr\": 0.03581165790474082\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4107142857142857,\n\ \ \"acc_stderr\": 0.04669510663875191,\n \"acc_norm\": 0.4107142857142857,\n\ \ \"acc_norm_stderr\": 0.04669510663875191\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.6699029126213593,\n \"acc_stderr\": 0.0465614711001235,\n\ \ \"acc_norm\": 0.6699029126213593,\n \"acc_norm_stderr\": 0.0465614711001235\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8504273504273504,\n\ \ \"acc_stderr\": 0.023365051491753715,\n \"acc_norm\": 0.8504273504273504,\n\ \ \"acc_norm_stderr\": 0.023365051491753715\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.67,\n \"acc_stderr\": 0.047258156262526094,\n \ \ \"acc_norm\": 0.67,\n \"acc_norm_stderr\": 0.047258156262526094\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7624521072796935,\n\ \ \"acc_stderr\": 0.015218733046150191,\n \"acc_norm\": 0.7624521072796935,\n\ \ \"acc_norm_stderr\": 0.015218733046150191\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6560693641618497,\n \"acc_stderr\": 0.025574123786546665,\n\ \ \"acc_norm\": 0.6560693641618497,\n \"acc_norm_stderr\": 0.025574123786546665\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.33519553072625696,\n\ \ \"acc_stderr\": 0.015788007190185888,\n \"acc_norm\": 0.33519553072625696,\n\ \ \"acc_norm_stderr\": 0.015788007190185888\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6601307189542484,\n \"acc_stderr\": 0.027121956071388852,\n\ \ \"acc_norm\": 0.6601307189542484,\n \"acc_norm_stderr\": 0.027121956071388852\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6720257234726688,\n\ \ \"acc_stderr\": 0.02666441088693762,\n \"acc_norm\": 0.6720257234726688,\n\ \ \"acc_norm_stderr\": 0.02666441088693762\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6820987654320988,\n \"acc_stderr\": 0.025910063528240875,\n\ \ \"acc_norm\": 0.6820987654320988,\n \"acc_norm_stderr\": 0.025910063528240875\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.46099290780141844,\n \"acc_stderr\": 0.02973659252642444,\n \ \ \"acc_norm\": 0.46099290780141844,\n \"acc_norm_stderr\": 0.02973659252642444\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.424380704041721,\n\ \ \"acc_stderr\": 0.01262334375743002,\n \"acc_norm\": 0.424380704041721,\n\ \ \"acc_norm_stderr\": 0.01262334375743002\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5992647058823529,\n \"acc_stderr\": 0.029768263528933105,\n\ \ \"acc_norm\": 0.5992647058823529,\n \"acc_norm_stderr\": 0.029768263528933105\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6143790849673203,\n \"acc_stderr\": 0.019691459052354022,\n \ \ \"acc_norm\": 0.6143790849673203,\n \"acc_norm_stderr\": 0.019691459052354022\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\ \ \"acc_stderr\": 0.04494290866252091,\n \"acc_norm\": 0.6727272727272727,\n\ \ \"acc_norm_stderr\": 0.04494290866252091\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784596,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784596\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7711442786069652,\n\ \ \"acc_stderr\": 0.029705284056772432,\n \"acc_norm\": 0.7711442786069652,\n\ \ \"acc_norm_stderr\": 0.029705284056772432\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036624,\n \ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036624\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4819277108433735,\n\ \ \"acc_stderr\": 0.038899512528272166,\n \"acc_norm\": 0.4819277108433735,\n\ \ \"acc_norm_stderr\": 0.038899512528272166\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7894736842105263,\n \"acc_stderr\": 0.0312678171466318,\n\ \ \"acc_norm\": 0.7894736842105263,\n \"acc_norm_stderr\": 0.0312678171466318\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4663402692778458,\n\ \ \"mc1_stderr\": 0.017463793867168106,\n \"mc2\": 0.6325766616332602,\n\ \ \"mc2_stderr\": 0.015487593519142183\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7703235990528808,\n \"acc_stderr\": 0.011821645601838229\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3752843062926459,\n \ \ \"acc_stderr\": 0.013337170545742934\n }\n}\n```" repo_url: https://huggingface.co/genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|arc:challenge|25_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|arc:challenge|25_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-01-21T06-47-29.951488.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|gsm8k|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|gsm8k|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hellaswag|10_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hellaswag|10_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-21T06-41-01.110110.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-21T06-47-29.951488.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-management|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-management|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-21T06-47-29.951488.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|truthfulqa:mc|0_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|truthfulqa:mc|0_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-01-21T06-47-29.951488.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_21T06_41_01.110110 path: - '**/details_harness|winogrande|5_2024-01-21T06-41-01.110110.parquet' - split: 2024_01_21T06_47_29.951488 path: - '**/details_harness|winogrande|5_2024-01-21T06-47-29.951488.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-01-21T06-47-29.951488.parquet' - config_name: results data_files: - split: 2024_01_21T06_41_01.110110 path: - results_2024-01-21T06-41-01.110110.parquet - split: 2024_01_21T06_47_29.951488 path: - results_2024-01-21T06-47-29.951488.parquet - split: latest path: - results_2024-01-21T06-47-29.951488.parquet --- # Dataset Card for Evaluation run of genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1  Dataset automatically created during the evaluation run of model [genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1](https://huggingface.co/genaicore3434/Mistral-7b-instruct-v0.2-summ-sft-lp-e1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_genaicore3434__Mistral-7b-instruct-v0.2-summ-sft-lp-e1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-21T06:47:29.951488](https://huggingface.co/datasets/open-llm-leaderboard/details_genaicore3434__Mistral-7b-instruct-v0.2-summ-sft-lp-e1/blob/main/results_2024-01-21T06-47-29.951488.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": 0.59052978065543, "acc_stderr": 0.03349268505074206, "acc_norm": 0.5952047695238794, "acc_norm_stderr": 0.03418111471832376, "mc1": 0.4663402692778458, "mc1_stderr": 0.017463793867168106, "mc2": 0.6325766616332602, "mc2_stderr": 0.015487593519142183 }, "harness|arc:challenge|25": { "acc": 0.5477815699658704, "acc_stderr": 0.014544519880633825, "acc_norm": 0.5955631399317406, "acc_norm_stderr": 0.01434203648343618 }, "harness|hellaswag|10": { "acc": 0.6301533559051982, "acc_stderr": 0.004817763581410245, "acc_norm": 0.8227444732125074, "acc_norm_stderr": 0.0038110434120246627 }, "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": 0.562962962962963, "acc_stderr": 0.04284958639753401, "acc_norm": 0.562962962962963, "acc_norm_stderr": 0.04284958639753401 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6052631578947368, "acc_stderr": 0.039777499346220734, "acc_norm": 0.6052631578947368, "acc_norm_stderr": 0.039777499346220734 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6377358490566037, "acc_stderr": 0.0295822451283843, "acc_norm": 0.6377358490566037, "acc_norm_stderr": 0.0295822451283843 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6527777777777778, "acc_stderr": 0.039812405437178615, "acc_norm": 0.6527777777777778, "acc_norm_stderr": 0.039812405437178615 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5780346820809249, "acc_stderr": 0.0376574669386515, "acc_norm": 0.5780346820809249, "acc_norm_stderr": 0.0376574669386515 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4019607843137255, "acc_stderr": 0.04878608714466996, "acc_norm": 0.4019607843137255, "acc_norm_stderr": 0.04878608714466996 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.67, "acc_stderr": 0.04725815626252609, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252609 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5148936170212766, "acc_stderr": 0.03267151848924777, "acc_norm": 0.5148936170212766, "acc_norm_stderr": 0.03267151848924777 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.39473684210526316, "acc_stderr": 0.045981880578165414, "acc_norm": 0.39473684210526316, "acc_norm_stderr": 0.045981880578165414 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.593103448275862, "acc_stderr": 0.04093793981266236, "acc_norm": 0.593103448275862, "acc_norm_stderr": 0.04093793981266236 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.37566137566137564, "acc_stderr": 0.024942368931159788, "acc_norm": 0.37566137566137564, "acc_norm_stderr": 0.024942368931159788 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3968253968253968, "acc_stderr": 0.043758884927270605, "acc_norm": 0.3968253968253968, "acc_norm_stderr": 0.043758884927270605 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6612903225806451, "acc_stderr": 0.026923446059302837, "acc_norm": 0.6612903225806451, "acc_norm_stderr": 0.026923446059302837 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5073891625615764, "acc_stderr": 0.0351760354036101, "acc_norm": 0.5073891625615764, "acc_norm_stderr": 0.0351760354036101 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.703030303030303, "acc_stderr": 0.035679697722680495, "acc_norm": 0.703030303030303, "acc_norm_stderr": 0.035679697722680495 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7424242424242424, "acc_stderr": 0.03115626951964683, "acc_norm": 0.7424242424242424, "acc_norm_stderr": 0.03115626951964683 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8341968911917098, "acc_stderr": 0.026839845022314415, "acc_norm": 0.8341968911917098, "acc_norm_stderr": 0.026839845022314415 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5384615384615384, "acc_stderr": 0.025275892070240644, "acc_norm": 0.5384615384615384, "acc_norm_stderr": 0.025275892070240644 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.35555555555555557, "acc_stderr": 0.029185714949857406, "acc_norm": 0.35555555555555557, "acc_norm_stderr": 0.029185714949857406 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.5546218487394958, "acc_stderr": 0.0322841062671639, "acc_norm": 0.5546218487394958, "acc_norm_stderr": 0.0322841062671639 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7834862385321101, "acc_stderr": 0.017658710594443128, "acc_norm": 0.7834862385321101, "acc_norm_stderr": 0.017658710594443128 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4583333333333333, "acc_stderr": 0.03398110890294636, "acc_norm": 0.4583333333333333, "acc_norm_stderr": 0.03398110890294636 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7549019607843137, "acc_stderr": 0.030190282453501947, "acc_norm": 0.7549019607843137, "acc_norm_stderr": 0.030190282453501947 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7552742616033755, "acc_stderr": 0.027985699387036423, "acc_norm": 0.7552742616033755, "acc_norm_stderr": 0.027985699387036423 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6143497757847534, "acc_stderr": 0.03266842214289201, "acc_norm": 0.6143497757847534, "acc_norm_stderr": 0.03266842214289201 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7175572519083969, "acc_stderr": 0.03948406125768361, "acc_norm": 0.7175572519083969, "acc_norm_stderr": 0.03948406125768361 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7520661157024794, "acc_stderr": 0.03941897526516303, "acc_norm": 0.7520661157024794, "acc_norm_stderr": 0.03941897526516303 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7407407407407407, "acc_stderr": 0.04236511258094634, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.04236511258094634 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7055214723926381, "acc_stderr": 0.03581165790474082, "acc_norm": 0.7055214723926381, "acc_norm_stderr": 0.03581165790474082 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4107142857142857, "acc_stderr": 0.04669510663875191, "acc_norm": 0.4107142857142857, "acc_norm_stderr": 0.04669510663875191 }, "harness|hendrycksTest-management|5": { "acc": 0.6699029126213593, "acc_stderr": 0.0465614711001235, "acc_norm": 0.6699029126213593, "acc_norm_stderr": 0.0465614711001235 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8504273504273504, "acc_stderr": 0.023365051491753715, "acc_norm": 0.8504273504273504, "acc_norm_stderr": 0.023365051491753715 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.67, "acc_stderr": 0.047258156262526094, "acc_norm": 0.67, "acc_norm_stderr": 0.047258156262526094 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7624521072796935, "acc_stderr": 0.015218733046150191, "acc_norm": 0.7624521072796935, "acc_norm_stderr": 0.015218733046150191 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6560693641618497, "acc_stderr": 0.025574123786546665, "acc_norm": 0.6560693641618497, "acc_norm_stderr": 0.025574123786546665 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.33519553072625696, "acc_stderr": 0.015788007190185888, "acc_norm": 0.33519553072625696, "acc_norm_stderr": 0.015788007190185888 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6601307189542484, "acc_stderr": 0.027121956071388852, "acc_norm": 0.6601307189542484, "acc_norm_stderr": 0.027121956071388852 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6720257234726688, "acc_stderr": 0.02666441088693762, "acc_norm": 0.6720257234726688, "acc_norm_stderr": 0.02666441088693762 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6820987654320988, "acc_stderr": 0.025910063528240875, "acc_norm": 0.6820987654320988, "acc_norm_stderr": 0.025910063528240875 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.46099290780141844, "acc_stderr": 0.02973659252642444, "acc_norm": 0.46099290780141844, "acc_norm_stderr": 0.02973659252642444 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.424380704041721, "acc_stderr": 0.01262334375743002, "acc_norm": 0.424380704041721, "acc_norm_stderr": 0.01262334375743002 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5992647058823529, "acc_stderr": 0.029768263528933105, "acc_norm": 0.5992647058823529, "acc_norm_stderr": 0.029768263528933105 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6143790849673203, "acc_stderr": 0.019691459052354022, "acc_norm": 0.6143790849673203, "acc_norm_stderr": 0.019691459052354022 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6727272727272727, "acc_stderr": 0.04494290866252091, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.04494290866252091 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7346938775510204, "acc_stderr": 0.028263889943784596, "acc_norm": 0.7346938775510204, "acc_norm_stderr": 0.028263889943784596 }, "harness|hendrycksTest-sociology|5": { "acc": 0.7711442786069652, "acc_stderr": 0.029705284056772432, "acc_norm": 0.7711442786069652, "acc_norm_stderr": 0.029705284056772432 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.81, "acc_stderr": 0.03942772444036624, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036624 }, "harness|hendrycksTest-virology|5": { "acc": 0.4819277108433735, "acc_stderr": 0.038899512528272166, "acc_norm": 0.4819277108433735, "acc_norm_stderr": 0.038899512528272166 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.7894736842105263, "acc_stderr": 0.0312678171466318, "acc_norm": 0.7894736842105263, "acc_norm_stderr": 0.0312678171466318 }, "harness|truthfulqa:mc|0": { "mc1": 0.4663402692778458, "mc1_stderr": 0.017463793867168106, "mc2": 0.6325766616332602, "mc2_stderr": 0.015487593519142183 }, "harness|winogrande|5": { "acc": 0.7703235990528808, "acc_stderr": 0.011821645601838229 }, "harness|gsm8k|5": { "acc": 0.3752843062926459, "acc_stderr": 0.013337170545742934 } } ``` ## Dataset Details ### Dataset Description  - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

CyberHarem/quincy_azurlane

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of quincy/クインシー/昆西 (Azur Lane) This is the dataset of quincy/クインシー/昆西 (Azur Lane), containing 28 images and their tags. The core tags of this character are `long_hair, pink_hair, breasts, large_breasts, brown_eyes, braid, ahoge, bangs, hair_between_eyes, ribbon`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:----------|:-----------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 28 | 25.64 MiB | [Download](https://huggingface.co/datasets/CyberHarem/quincy_azurlane/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 28 | 18.99 MiB | [Download](https://huggingface.co/datasets/CyberHarem/quincy_azurlane/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 59 | 34.68 MiB | [Download](https://huggingface.co/datasets/CyberHarem/quincy_azurlane/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 28 | 23.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/quincy_azurlane/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 59 | 42.22 MiB | [Download](https://huggingface.co/datasets/CyberHarem/quincy_azurlane/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/quincy_azurlane', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 5 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, cleavage, looking_at_viewer, solo, red_necktie, simple_background, skirt, blush, open_mouth, white_background, white_thighhighs, airplane, between_breasts, full_body, machinery, rigging, zettai_ryouiki | | 1 | 6 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, blush, solo, sun_hat, cleavage, collarbone, looking_at_viewer, navel, see-through, side-tie_bikini_bottom, hat_ribbon, purple_bikini, smile, white_headwear, bare_shoulders, closed_mouth, flower, hat_bow, inflatable_toy, thighs, wariza | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | cleavage | looking_at_viewer | solo | red_necktie | simple_background | skirt | blush | open_mouth | white_background | white_thighhighs | airplane | between_breasts | full_body | machinery | rigging | zettai_ryouiki | sun_hat | collarbone | navel | see-through | side-tie_bikini_bottom | hat_ribbon | purple_bikini | smile | white_headwear | bare_shoulders | closed_mouth | flower | hat_bow | inflatable_toy | thighs | wariza | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-----------|:--------------------|:-------|:--------------|:--------------------|:--------|:--------|:-------------|:-------------------|:-------------------|:-----------|:------------------|:------------|:------------|:----------|:-----------------|:----------|:-------------|:--------|:--------------|:-------------------------|:-------------|:----------------|:--------|:-----------------|:-----------------|:---------------|:---------|:----------|:-----------------|:---------|:---------| | 0 | 5 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | 1 | 6 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | X | X | X | | | | X | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |

HuggingFaceTB/wiki_formal_sciences_college_students_1k

--- dataset_info: features: - name: top_category dtype: string - name: subcategory_1 dtype: string - name: subcategory_2 dtype: string - name: subcategory_3 dtype: string - name: subcategory_4 dtype: string - name: subcategory_5 dtype: string - name: prompt dtype: string - name: completion dtype: string - name: token_length dtype: int64 splits: - name: train num_bytes: 6422523 num_examples: 1000 download_size: 3183994 dataset_size: 6422523 configs: - config_name: default data_files: - split: train path: data/train-* ---

nateraw/background-remover-files

--- license: apache-2.0 ---

open-llm-leaderboard/details_openchat__openchat_v3.2_super

--- pretty_name: Evaluation run of openchat/openchat_v3.2_super dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [openchat/openchat_v3.2_super](https://huggingface.co/openchat/openchat_v3.2_super)\ \ 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_openchat__openchat_v3.2_super\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-18T01:02:51.015590](https://huggingface.co/datasets/open-llm-leaderboard/details_openchat__openchat_v3.2_super/blob/main/results_2023-10-18T01-02-51.015590.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\": 0.0014681208053691276,\n\ \ \"em_stderr\": 0.00039210421902982623,\n \"f1\": 0.058767827181208196,\n\ \ \"f1_stderr\": 0.0013192048135182055,\n \"acc\": 0.4471122977692914,\n\ \ \"acc_stderr\": 0.010713437247397681\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.0014681208053691276,\n \"em_stderr\": 0.00039210421902982623,\n\ \ \"f1\": 0.058767827181208196,\n \"f1_stderr\": 0.0013192048135182055\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.13495072024260804,\n \ \ \"acc_stderr\": 0.009411315282571171\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7592738752959748,\n \"acc_stderr\": 0.012015559212224192\n\ \ }\n}\n```" repo_url: https://huggingface.co/openchat/openchat_v3.2_super leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|arc:challenge|25_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-09-05T08:28:49.460161.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_18T01_02_51.015590 path: - '**/details_harness|drop|3_2023-10-18T01-02-51.015590.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-18T01-02-51.015590.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_18T01_02_51.015590 path: - '**/details_harness|gsm8k|5_2023-10-18T01-02-51.015590.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-18T01-02-51.015590.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hellaswag|10_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-05T08:28:49.460161.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-management|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-virology|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-05T08:28:49.460161.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_05T08_28_49.460161 path: - '**/details_harness|truthfulqa:mc|0_2023-09-05T08:28:49.460161.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-09-05T08:28:49.460161.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_18T01_02_51.015590 path: - '**/details_harness|winogrande|5_2023-10-18T01-02-51.015590.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-18T01-02-51.015590.parquet' - config_name: results data_files: - split: 2023_09_05T08_28_49.460161 path: - results_2023-09-05T08:28:49.460161.parquet - split: 2023_10_18T01_02_51.015590 path: - results_2023-10-18T01-02-51.015590.parquet - split: latest path: - results_2023-10-18T01-02-51.015590.parquet --- # Dataset Card for Evaluation run of openchat/openchat_v3.2_super ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/openchat/openchat_v3.2_super - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [openchat/openchat_v3.2_super](https://huggingface.co/openchat/openchat_v3.2_super) 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_openchat__openchat_v3.2_super", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-18T01:02:51.015590](https://huggingface.co/datasets/open-llm-leaderboard/details_openchat__openchat_v3.2_super/blob/main/results_2023-10-18T01-02-51.015590.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": 0.0014681208053691276, "em_stderr": 0.00039210421902982623, "f1": 0.058767827181208196, "f1_stderr": 0.0013192048135182055, "acc": 0.4471122977692914, "acc_stderr": 0.010713437247397681 }, "harness|drop|3": { "em": 0.0014681208053691276, "em_stderr": 0.00039210421902982623, "f1": 0.058767827181208196, "f1_stderr": 0.0013192048135182055 }, "harness|gsm8k|5": { "acc": 0.13495072024260804, "acc_stderr": 0.009411315282571171 }, "harness|winogrande|5": { "acc": 0.7592738752959748, "acc_stderr": 0.012015559212224192 } } ``` ### 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]

tner/mit_movie_trivia

--- language: - en license: - other multilinguality: - monolingual size_categories: - 1K<n<10K task_categories: - token-classification task_ids: - named-entity-recognition pretty_name: MIT Movie --- # Dataset Card for "tner/mit_movie_trivia" ## Dataset Description - **Repository:** [T-NER](https://github.com/asahi417/tner) - **Dataset:** MIT Movie - **Domain:** Movie - **Number of Entity:** 12 ### Dataset Summary MIT Movie NER dataset formatted in a part of [TNER](https://github.com/asahi417/tner) project. - Entity Types: `Actor`, `Plot`, `Opinion`, `Award`, `Year`, `Genre`, `Origin`, `Director`, `Soundtrack`, `Relationship`, `Character_Name`, `Quote` ## Dataset Structure ### Data Instances An example of `train` looks as follows. ``` { 'tags': [0, 13, 14, 0, 0, 0, 3, 4, 4, 4, 4, 4, 4, 4, 4], 'tokens': ['a', 'steven', 'spielberg', 'film', 'featuring', 'a', 'bluff', 'called', 'devil', 's', 'tower', 'and', 'a', 'spectacular', 'mothership'] } ``` ### Label ID The label2id dictionary can be found at [here](https://huggingface.co/datasets/tner/mit_movie_trivia/raw/main/dataset/label.json). ```python { "O": 0, "B-Actor": 1, "I-Actor": 2, "B-Plot": 3, "I-Plot": 4, "B-Opinion": 5, "I-Opinion": 6, "B-Award": 7, "I-Award": 8, "B-Year": 9, "B-Genre": 10, "B-Origin": 11, "I-Origin": 12, "B-Director": 13, "I-Director": 14, "I-Genre": 15, "I-Year": 16, "B-Soundtrack": 17, "I-Soundtrack": 18, "B-Relationship": 19, "I-Relationship": 20, "B-Character_Name": 21, "I-Character_Name": 22, "B-Quote": 23, "I-Quote": 24 } ``` ### Data Splits | name |train|validation|test| |---------|----:|---------:|---:| |mit_movie_trivia |6816 | 1000| 1953|

Scalable-ML/testSet

--- dataset_info: features: - name: app_temp dtype: float64 - name: azimuth dtype: float64 - name: clouds dtype: int64 - name: datetime dtype: string - name: dewpt dtype: float64 - name: dhi dtype: int64 - name: dni dtype: int64 - name: elev_angle dtype: float64 - name: ghi dtype: int64 - name: h_angle dtype: 'null' - name: pod dtype: string - name: precip dtype: float64 - name: pres dtype: int64 - name: revision_status dtype: string - name: rh dtype: int64 - name: slp dtype: int64 - name: snow dtype: float64 - name: solar_rad dtype: int64 - name: temp dtype: float64 - name: timestamp_local dtype: string - name: timestamp_utc dtype: string - name: ts dtype: int64 - name: uv dtype: float64 - name: vis dtype: float64 - name: weather dtype: string - name: wind_dir dtype: int64 - name: wind_gust_spd dtype: float64 - name: wind_spd dtype: float64 splits: - name: train num_bytes: 2372841 num_examples: 7669 download_size: 0 dataset_size: 2372841 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "testSet" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

AdapterOcean/med_alpaca_standardized_cluster_32_std

--- dataset_info: features: - name: message dtype: string - name: message_type dtype: string - name: message_id dtype: int64 - name: conversation_id dtype: int64 - name: cluster dtype: float64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 8441660 num_examples: 26651 download_size: 4608297 dataset_size: 8441660 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "med_alpaca_standardized_cluster_32_std" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_yeontaek__Platypus2xOpenOrca-13B-IA3-ensemble

--- 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: clementine@hf.co 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:** clementine@hf.co ### 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 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5871794871794872, "acc_stderr": 0.024962683564331806, "acc_norm": 0.5871794871794872, "acc_norm_stderr": 0.024962683564331806 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2851851851851852, "acc_stderr": 0.027528599210340496, "acc_norm": 0.2851851851851852, "acc_norm_stderr": 0.027528599210340496 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6386554621848739, "acc_stderr": 0.03120469122515002, "acc_norm": 0.6386554621848739, "acc_norm_stderr": 0.03120469122515002 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.33774834437086093, "acc_stderr": 0.03861557546255169, "acc_norm": 0.33774834437086093, "acc_norm_stderr": 0.03861557546255169 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7761467889908257, "acc_stderr": 0.017871217767790215, "acc_norm": 0.7761467889908257, "acc_norm_stderr": 0.017871217767790215 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.49537037037037035, "acc_stderr": 0.03409825519163572, "acc_norm": 0.49537037037037035, "acc_norm_stderr": 0.03409825519163572 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8382352941176471, "acc_stderr": 0.025845017986926917, "acc_norm": 0.8382352941176471, "acc_norm_stderr": 0.025845017986926917 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7679324894514767, "acc_stderr": 0.02747974455080851, "acc_norm": 0.7679324894514767, "acc_norm_stderr": 0.02747974455080851 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.672645739910314, "acc_stderr": 0.031493846709941306, "acc_norm": 0.672645739910314, "acc_norm_stderr": 0.031493846709941306 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6946564885496184, "acc_stderr": 0.04039314978724561, "acc_norm": 0.6946564885496184, "acc_norm_stderr": 0.04039314978724561 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7272727272727273, "acc_stderr": 0.04065578140908705, "acc_norm": 0.7272727272727273, "acc_norm_stderr": 0.04065578140908705 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8333333333333334, "acc_stderr": 0.036028141763926456, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.036028141763926456 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.6809815950920245, "acc_stderr": 0.03661997551073836, "acc_norm": 0.6809815950920245, "acc_norm_stderr": 0.03661997551073836 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.33035714285714285, "acc_stderr": 0.04464285714285714, "acc_norm": 0.33035714285714285, "acc_norm_stderr": 0.04464285714285714 }, "harness|hendrycksTest-management|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8461538461538461, "acc_stderr": 0.02363687331748927, "acc_norm": 0.8461538461538461, "acc_norm_stderr": 0.02363687331748927 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7547892720306514, "acc_stderr": 0.015384352284543941, "acc_norm": 0.7547892720306514, "acc_norm_stderr": 0.015384352284543941 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6473988439306358, "acc_stderr": 0.025722802200895803, "acc_norm": 0.6473988439306358, "acc_norm_stderr": 0.025722802200895803 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.4491620111731844, "acc_stderr": 0.01663583834163192, "acc_norm": 0.4491620111731844, "acc_norm_stderr": 0.01663583834163192 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6209150326797386, "acc_stderr": 0.027780141207023337, "acc_norm": 0.6209150326797386, "acc_norm_stderr": 0.027780141207023337 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6430868167202572, "acc_stderr": 0.027210420375934023, "acc_norm": 0.6430868167202572, "acc_norm_stderr": 0.027210420375934023 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6728395061728395, "acc_stderr": 0.026105673861409828, "acc_norm": 0.6728395061728395, "acc_norm_stderr": 0.026105673861409828 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4716312056737589, "acc_stderr": 0.029779450957303055, "acc_norm": 0.4716312056737589, "acc_norm_stderr": 0.029779450957303055 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4517601043024772, "acc_stderr": 0.012710662233660247, "acc_norm": 0.4517601043024772, "acc_norm_stderr": 0.012710662233660247 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5661764705882353, "acc_stderr": 0.03010563657001663, "acc_norm": 0.5661764705882353, "acc_norm_stderr": 0.03010563657001663 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6029411764705882, "acc_stderr": 0.019794488900024124, "acc_norm": 0.6029411764705882, "acc_norm_stderr": 0.019794488900024124 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6363636363636364, "acc_stderr": 0.04607582090719976, "acc_norm": 0.6363636363636364, "acc_norm_stderr": 0.04607582090719976 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.6857142857142857, "acc_stderr": 0.02971932942241748, "acc_norm": 0.6857142857142857, "acc_norm_stderr": 0.02971932942241748 }, "harness|hendrycksTest-sociology|5": { "acc": 0.7661691542288557, "acc_stderr": 0.02992941540834839, "acc_norm": 0.7661691542288557, "acc_norm_stderr": 0.02992941540834839 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.81, "acc_stderr": 0.03942772444036625, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036625 }, "harness|hendrycksTest-virology|5": { "acc": 0.46987951807228917, "acc_stderr": 0.03885425420866767, "acc_norm": 0.46987951807228917, "acc_norm_stderr": 0.03885425420866767 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8011695906432749, "acc_stderr": 0.030611116557432528, "acc_norm": 0.8011695906432749, "acc_norm_stderr": 0.030611116557432528 }, "harness|truthfulqa:mc|0": { "mc1": 0.3317013463892289, "mc1_stderr": 0.016482148810241477, "mc2": 0.47461350738527963, "mc2_stderr": 0.015202805791318129 } } ``` ### 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]

tanli12/hagrid-classification-512p-no-gesture-150k-4p

--- license: mit ---

ethz-spylab/rlhf_trojan_dataset

--- extra_gated_prompt: >- You acknowledge that generations from this model can be harmful, and that you will not use them beyond this competition. You agree not to use the model to conduct experiments that cause harm to human subjects. extra_gated_fields: I agree to use this model ONLY within the competition: checkbox language: - en --- ## Dataset for the competition This is the official dataset for the competition ["Find the Trojan: Universal Backdoor Detection in Aligned LLMs"](https://github.com/ethz-spylab/rlhf_trojan_competition) hosted at SaTML 2024. The dataset contains two splits: `train` and `test`. Participants should use the `train` split to execute their proposed methods and can use the `test` as a measure of how successful their search was. Competition prizes will be awarded based on performance on a **private test set**. See the [official competition website](https://github.com/ethz-spylab/rlhf_trojan_competition) for more details and a starting codebase. Competition organized by the [SPY Lab](https://spylab.ai) at ETH Zurich. This dataset is created from a split of [this Anthropic dataset](https://huggingface.co/datasets/Anthropic/hh-rlhf).

open-llm-leaderboard/details_cognitivecomputations__dolphin-2.2-yi-34b-200k

--- pretty_name: Evaluation run of cognitivecomputations/dolphin-2.2-yi-34b-200k dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [cognitivecomputations/dolphin-2.2-yi-34b-200k](https://huggingface.co/cognitivecomputations/dolphin-2.2-yi-34b-200k)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_cognitivecomputations__dolphin-2.2-yi-34b-200k\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-30T04:55:41.011890](https://huggingface.co/datasets/open-llm-leaderboard/details_cognitivecomputations__dolphin-2.2-yi-34b-200k/blob/main/results_2023-12-30T04-55-41.011890.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\": 0.5429897039109348,\n\ \ \"acc_stderr\": 0.034024777660715086,\n \"acc_norm\": 0.5533854375327871,\n\ \ \"acc_norm_stderr\": 0.034866231322601235,\n \"mc1\": 0.27906976744186046,\n\ \ \"mc1_stderr\": 0.015702107090627904,\n \"mc2\": 0.45933703025376155,\n\ \ \"mc2_stderr\": 0.01568029542861706\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.38822525597269625,\n \"acc_stderr\": 0.014241614207414037,\n\ \ \"acc_norm\": 0.4206484641638225,\n \"acc_norm_stderr\": 0.014426211252508403\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5128460466042621,\n\ \ \"acc_stderr\": 0.004988134303021787,\n \"acc_norm\": 0.6813383788090022,\n\ \ \"acc_norm_stderr\": 0.004650052150094422\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\": 0.5777777777777777,\n\ \ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\ \ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6118421052631579,\n \"acc_stderr\": 0.03965842097512744,\n\ \ \"acc_norm\": 0.6118421052631579,\n \"acc_norm_stderr\": 0.03965842097512744\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n\ \ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \ \ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6226415094339622,\n \"acc_stderr\": 0.02983280811479601,\n\ \ \"acc_norm\": 0.6226415094339622,\n \"acc_norm_stderr\": 0.02983280811479601\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6180555555555556,\n\ \ \"acc_stderr\": 0.040629907841466674,\n \"acc_norm\": 0.6180555555555556,\n\ \ \"acc_norm_stderr\": 0.040629907841466674\n },\n \"harness|hendrycksTest-college_chemistry|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_computer_science|5\": {\n \"acc\"\ : 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.42,\n\ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5260115606936416,\n\ \ \"acc_stderr\": 0.03807301726504514,\n \"acc_norm\": 0.5260115606936416,\n\ \ \"acc_norm_stderr\": 0.03807301726504514\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4019607843137255,\n \"acc_stderr\": 0.04878608714466996,\n\ \ \"acc_norm\": 0.4019607843137255,\n \"acc_norm_stderr\": 0.04878608714466996\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.64,\n \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n\ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5063829787234042,\n \"acc_stderr\": 0.03268335899936336,\n\ \ \"acc_norm\": 0.5063829787234042,\n \"acc_norm_stderr\": 0.03268335899936336\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.40350877192982454,\n\ \ \"acc_stderr\": 0.046151869625837026,\n \"acc_norm\": 0.40350877192982454,\n\ \ \"acc_norm_stderr\": 0.046151869625837026\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.4689655172413793,\n \"acc_stderr\": 0.04158632762097828,\n\ \ \"acc_norm\": 0.4689655172413793,\n \"acc_norm_stderr\": 0.04158632762097828\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.35714285714285715,\n \"acc_stderr\": 0.024677862841332783,\n \"\ acc_norm\": 0.35714285714285715,\n \"acc_norm_stderr\": 0.024677862841332783\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.29365079365079366,\n\ \ \"acc_stderr\": 0.040735243221471255,\n \"acc_norm\": 0.29365079365079366,\n\ \ \"acc_norm_stderr\": 0.040735243221471255\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145632,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6741935483870968,\n\ \ \"acc_stderr\": 0.0266620105785671,\n \"acc_norm\": 0.6741935483870968,\n\ \ \"acc_norm_stderr\": 0.0266620105785671\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.39901477832512317,\n \"acc_stderr\": 0.034454876862647144,\n\ \ \"acc_norm\": 0.39901477832512317,\n \"acc_norm_stderr\": 0.034454876862647144\n\ \ },\n \"harness|hendrycksTest-high_school_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-high_school_european_history|5\"\ : {\n \"acc\": 0.7272727272727273,\n \"acc_stderr\": 0.03477691162163659,\n\ \ \"acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.03477691162163659\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7474747474747475,\n \"acc_stderr\": 0.030954055470365897,\n \"\ acc_norm\": 0.7474747474747475,\n \"acc_norm_stderr\": 0.030954055470365897\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.7616580310880829,\n \"acc_stderr\": 0.030748905363909895,\n\ \ \"acc_norm\": 0.7616580310880829,\n \"acc_norm_stderr\": 0.030748905363909895\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.47435897435897434,\n \"acc_stderr\": 0.025317649726448656,\n\ \ \"acc_norm\": 0.47435897435897434,\n \"acc_norm_stderr\": 0.025317649726448656\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3,\n \"acc_stderr\": 0.027940457136228412,\n \"acc_norm\"\ : 0.3,\n \"acc_norm_stderr\": 0.027940457136228412\n },\n \"harness|hendrycksTest-high_school_microeconomics|5\"\ : {\n \"acc\": 0.5672268907563025,\n \"acc_stderr\": 0.03218358107742613,\n\ \ \"acc_norm\": 0.5672268907563025,\n \"acc_norm_stderr\": 0.03218358107742613\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.36423841059602646,\n \"acc_stderr\": 0.03929111781242742,\n \"\ acc_norm\": 0.36423841059602646,\n \"acc_norm_stderr\": 0.03929111781242742\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7119266055045872,\n \"acc_stderr\": 0.01941644589263603,\n \"\ acc_norm\": 0.7119266055045872,\n \"acc_norm_stderr\": 0.01941644589263603\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4722222222222222,\n \"acc_stderr\": 0.0340470532865388,\n \"acc_norm\"\ : 0.4722222222222222,\n \"acc_norm_stderr\": 0.0340470532865388\n },\n\ \ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.7352941176470589,\n\ \ \"acc_stderr\": 0.0309645179269234,\n \"acc_norm\": 0.7352941176470589,\n\ \ \"acc_norm_stderr\": 0.0309645179269234\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\ : {\n \"acc\": 0.7679324894514767,\n \"acc_stderr\": 0.027479744550808503,\n\ \ \"acc_norm\": 0.7679324894514767,\n \"acc_norm_stderr\": 0.027479744550808503\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6098654708520179,\n\ \ \"acc_stderr\": 0.03273766725459157,\n \"acc_norm\": 0.6098654708520179,\n\ \ \"acc_norm_stderr\": 0.03273766725459157\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6412213740458015,\n \"acc_stderr\": 0.04206739313864908,\n\ \ \"acc_norm\": 0.6412213740458015,\n \"acc_norm_stderr\": 0.04206739313864908\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7520661157024794,\n \"acc_stderr\": 0.03941897526516302,\n \"\ acc_norm\": 0.7520661157024794,\n \"acc_norm_stderr\": 0.03941897526516302\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5648148148148148,\n\ \ \"acc_stderr\": 0.047928981709070624,\n \"acc_norm\": 0.5648148148148148,\n\ \ \"acc_norm_stderr\": 0.047928981709070624\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.656441717791411,\n \"acc_stderr\": 0.03731133519673893,\n\ \ \"acc_norm\": 0.656441717791411,\n \"acc_norm_stderr\": 0.03731133519673893\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4642857142857143,\n\ \ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\ \ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.5825242718446602,\n \"acc_stderr\": 0.048828405482122375,\n\ \ \"acc_norm\": 0.5825242718446602,\n \"acc_norm_stderr\": 0.048828405482122375\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7521367521367521,\n\ \ \"acc_stderr\": 0.028286324075564393,\n \"acc_norm\": 0.7521367521367521,\n\ \ \"acc_norm_stderr\": 0.028286324075564393\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.7496807151979565,\n\ \ \"acc_stderr\": 0.015491088951494581,\n \"acc_norm\": 0.7496807151979565,\n\ \ \"acc_norm_stderr\": 0.015491088951494581\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.5202312138728323,\n \"acc_stderr\": 0.026897049996382875,\n\ \ \"acc_norm\": 0.5202312138728323,\n \"acc_norm_stderr\": 0.026897049996382875\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.37094972067039106,\n\ \ \"acc_stderr\": 0.016155910721341774,\n \"acc_norm\": 0.37094972067039106,\n\ \ \"acc_norm_stderr\": 0.016155910721341774\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.630718954248366,\n \"acc_stderr\": 0.027634176689602667,\n\ \ \"acc_norm\": 0.630718954248366,\n \"acc_norm_stderr\": 0.027634176689602667\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.594855305466238,\n\ \ \"acc_stderr\": 0.027882383791325963,\n \"acc_norm\": 0.594855305466238,\n\ \ \"acc_norm_stderr\": 0.027882383791325963\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.5987654320987654,\n \"acc_stderr\": 0.027272582849839792,\n\ \ \"acc_norm\": 0.5987654320987654,\n \"acc_norm_stderr\": 0.027272582849839792\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.3723404255319149,\n \"acc_stderr\": 0.02883892147125146,\n \ \ \"acc_norm\": 0.3723404255319149,\n \"acc_norm_stderr\": 0.02883892147125146\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4211212516297262,\n\ \ \"acc_stderr\": 0.012610325733489905,\n \"acc_norm\": 0.4211212516297262,\n\ \ \"acc_norm_stderr\": 0.012610325733489905\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5367647058823529,\n \"acc_stderr\": 0.03029061918048569,\n\ \ \"acc_norm\": 0.5367647058823529,\n \"acc_norm_stderr\": 0.03029061918048569\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.5147058823529411,\n \"acc_stderr\": 0.020219083895133924,\n \ \ \"acc_norm\": 0.5147058823529411,\n \"acc_norm_stderr\": 0.020219083895133924\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6090909090909091,\n\ \ \"acc_stderr\": 0.04673752333670238,\n \"acc_norm\": 0.6090909090909091,\n\ \ \"acc_norm_stderr\": 0.04673752333670238\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.6408163265306123,\n \"acc_stderr\": 0.03071356045510849,\n\ \ \"acc_norm\": 0.6408163265306123,\n \"acc_norm_stderr\": 0.03071356045510849\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7164179104477612,\n\ \ \"acc_stderr\": 0.03187187537919797,\n \"acc_norm\": 0.7164179104477612,\n\ \ \"acc_norm_stderr\": 0.03187187537919797\n },\n \"harness|hendrycksTest-us_foreign_policy|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-virology|5\": {\n \"acc\": 0.43373493975903615,\n\ \ \"acc_stderr\": 0.03858158940685516,\n \"acc_norm\": 0.43373493975903615,\n\ \ \"acc_norm_stderr\": 0.03858158940685516\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7134502923976608,\n \"acc_stderr\": 0.034678266857038245,\n\ \ \"acc_norm\": 0.7134502923976608,\n \"acc_norm_stderr\": 0.034678266857038245\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.27906976744186046,\n\ \ \"mc1_stderr\": 0.015702107090627904,\n \"mc2\": 0.45933703025376155,\n\ \ \"mc2_stderr\": 0.01568029542861706\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.6424625098658248,\n \"acc_stderr\": 0.01347000744392069\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0310841546626232,\n \ \ \"acc_stderr\": 0.004780296718393351\n }\n}\n```" repo_url: https://huggingface.co/cognitivecomputations/dolphin-2.2-yi-34b-200k leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|arc:challenge|25_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|arc:challenge|25_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-30T04-55-41.011890.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|gsm8k|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|gsm8k|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hellaswag|10_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hellaswag|10_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-30T04-52-22.253489.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-30T04-55-41.011890.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-management|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-management|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-30T04-55-41.011890.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|truthfulqa:mc|0_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|truthfulqa:mc|0_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-30T04-55-41.011890.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_30T04_52_22.253489 path: - '**/details_harness|winogrande|5_2023-12-30T04-52-22.253489.parquet' - split: 2023_12_30T04_55_41.011890 path: - '**/details_harness|winogrande|5_2023-12-30T04-55-41.011890.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-30T04-55-41.011890.parquet' - config_name: results data_files: - split: 2023_12_30T04_52_22.253489 path: - results_2023-12-30T04-52-22.253489.parquet - split: 2023_12_30T04_55_41.011890 path: - results_2023-12-30T04-55-41.011890.parquet - split: latest path: - results_2023-12-30T04-55-41.011890.parquet --- # Dataset Card for Evaluation run of cognitivecomputations/dolphin-2.2-yi-34b-200k  Dataset automatically created during the evaluation run of model [cognitivecomputations/dolphin-2.2-yi-34b-200k](https://huggingface.co/cognitivecomputations/dolphin-2.2-yi-34b-200k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_cognitivecomputations__dolphin-2.2-yi-34b-200k", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-30T04:55:41.011890](https://huggingface.co/datasets/open-llm-leaderboard/details_cognitivecomputations__dolphin-2.2-yi-34b-200k/blob/main/results_2023-12-30T04-55-41.011890.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": 0.5429897039109348, "acc_stderr": 0.034024777660715086, "acc_norm": 0.5533854375327871, "acc_norm_stderr": 0.034866231322601235, "mc1": 0.27906976744186046, "mc1_stderr": 0.015702107090627904, "mc2": 0.45933703025376155, "mc2_stderr": 0.01568029542861706 }, "harness|arc:challenge|25": { "acc": 0.38822525597269625, "acc_stderr": 0.014241614207414037, "acc_norm": 0.4206484641638225, "acc_norm_stderr": 0.014426211252508403 }, "harness|hellaswag|10": { "acc": 0.5128460466042621, "acc_stderr": 0.004988134303021787, "acc_norm": 0.6813383788090022, "acc_norm_stderr": 0.004650052150094422 }, "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": 0.5777777777777777, "acc_stderr": 0.04266763404099582, "acc_norm": 0.5777777777777777, "acc_norm_stderr": 0.04266763404099582 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6118421052631579, "acc_stderr": 0.03965842097512744, "acc_norm": 0.6118421052631579, "acc_norm_stderr": 0.03965842097512744 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6226415094339622, "acc_stderr": 0.02983280811479601, "acc_norm": 0.6226415094339622, "acc_norm_stderr": 0.02983280811479601 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6180555555555556, "acc_stderr": 0.040629907841466674, "acc_norm": 0.6180555555555556, "acc_norm_stderr": 0.040629907841466674 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.43, "acc_stderr": 0.04975698519562428, "acc_norm": 0.43, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5260115606936416, "acc_stderr": 0.03807301726504514, "acc_norm": 0.5260115606936416, "acc_norm_stderr": 0.03807301726504514 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4019607843137255, "acc_stderr": 0.04878608714466996, "acc_norm": 0.4019607843137255, "acc_norm_stderr": 0.04878608714466996 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5063829787234042, "acc_stderr": 0.03268335899936336, "acc_norm": 0.5063829787234042, "acc_norm_stderr": 0.03268335899936336 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.40350877192982454, "acc_stderr": 0.046151869625837026, "acc_norm": 0.40350877192982454, "acc_norm_stderr": 0.046151869625837026 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4689655172413793, "acc_stderr": 0.04158632762097828, "acc_norm": 0.4689655172413793, "acc_norm_stderr": 0.04158632762097828 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.35714285714285715, "acc_stderr": 0.024677862841332783, "acc_norm": 0.35714285714285715, "acc_norm_stderr": 0.024677862841332783 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.29365079365079366, "acc_stderr": 0.040735243221471255, "acc_norm": 0.29365079365079366, "acc_norm_stderr": 0.040735243221471255 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6741935483870968, "acc_stderr": 0.0266620105785671, "acc_norm": 0.6741935483870968, "acc_norm_stderr": 0.0266620105785671 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.39901477832512317, "acc_stderr": 0.034454876862647144, "acc_norm": 0.39901477832512317, "acc_norm_stderr": 0.034454876862647144 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7272727272727273, "acc_stderr": 0.03477691162163659, "acc_norm": 0.7272727272727273, "acc_norm_stderr": 0.03477691162163659 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7474747474747475, "acc_stderr": 0.030954055470365897, "acc_norm": 0.7474747474747475, "acc_norm_stderr": 0.030954055470365897 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7616580310880829, "acc_stderr": 0.030748905363909895, "acc_norm": 0.7616580310880829, "acc_norm_stderr": 0.030748905363909895 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.47435897435897434, "acc_stderr": 0.025317649726448656, "acc_norm": 0.47435897435897434, "acc_norm_stderr": 0.025317649726448656 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3, "acc_stderr": 0.027940457136228412, "acc_norm": 0.3, "acc_norm_stderr": 0.027940457136228412 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.5672268907563025, "acc_stderr": 0.03218358107742613, "acc_norm": 0.5672268907563025, "acc_norm_stderr": 0.03218358107742613 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.36423841059602646, "acc_stderr": 0.03929111781242742, "acc_norm": 0.36423841059602646, "acc_norm_stderr": 0.03929111781242742 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7119266055045872, "acc_stderr": 0.01941644589263603, "acc_norm": 0.7119266055045872, "acc_norm_stderr": 0.01941644589263603 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4722222222222222, "acc_stderr": 0.0340470532865388, "acc_norm": 0.4722222222222222, "acc_norm_stderr": 0.0340470532865388 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7352941176470589, "acc_stderr": 0.0309645179269234, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.0309645179269234 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7679324894514767, "acc_stderr": 0.027479744550808503, "acc_norm": 0.7679324894514767, "acc_norm_stderr": 0.027479744550808503 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6098654708520179, "acc_stderr": 0.03273766725459157, "acc_norm": 0.6098654708520179, "acc_norm_stderr": 0.03273766725459157 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6412213740458015, "acc_stderr": 0.04206739313864908, "acc_norm": 0.6412213740458015, "acc_norm_stderr": 0.04206739313864908 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7520661157024794, "acc_stderr": 0.03941897526516302, "acc_norm": 0.7520661157024794, "acc_norm_stderr": 0.03941897526516302 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.5648148148148148, "acc_stderr": 0.047928981709070624, "acc_norm": 0.5648148148148148, "acc_norm_stderr": 0.047928981709070624 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.656441717791411, "acc_stderr": 0.03731133519673893, "acc_norm": 0.656441717791411, "acc_norm_stderr": 0.03731133519673893 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4642857142857143, "acc_stderr": 0.04733667890053756, "acc_norm": 0.4642857142857143, "acc_norm_stderr": 0.04733667890053756 }, "harness|hendrycksTest-management|5": { "acc": 0.5825242718446602, "acc_stderr": 0.048828405482122375, "acc_norm": 0.5825242718446602, "acc_norm_stderr": 0.048828405482122375 }, "harness|hendrycksTest-marketing|5": { "acc": 0.7521367521367521, "acc_stderr": 0.028286324075564393, "acc_norm": 0.7521367521367521, "acc_norm_stderr": 0.028286324075564393 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.6, "acc_stderr": 0.049236596391733084, "acc_norm": 0.6, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7496807151979565, "acc_stderr": 0.015491088951494581, "acc_norm": 0.7496807151979565, "acc_norm_stderr": 0.015491088951494581 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.5202312138728323, "acc_stderr": 0.026897049996382875, "acc_norm": 0.5202312138728323, "acc_norm_stderr": 0.026897049996382875 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.37094972067039106, "acc_stderr": 0.016155910721341774, "acc_norm": 0.37094972067039106, "acc_norm_stderr": 0.016155910721341774 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.630718954248366, "acc_stderr": 0.027634176689602667, "acc_norm": 0.630718954248366, "acc_norm_stderr": 0.027634176689602667 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.594855305466238, "acc_stderr": 0.027882383791325963, "acc_norm": 0.594855305466238, "acc_norm_stderr": 0.027882383791325963 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.5987654320987654, "acc_stderr": 0.027272582849839792, "acc_norm": 0.5987654320987654, "acc_norm_stderr": 0.027272582849839792 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.3723404255319149, "acc_stderr": 0.02883892147125146, "acc_norm": 0.3723404255319149, "acc_norm_stderr": 0.02883892147125146 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4211212516297262, "acc_stderr": 0.012610325733489905, "acc_norm": 0.4211212516297262, "acc_norm_stderr": 0.012610325733489905 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5367647058823529, "acc_stderr": 0.03029061918048569, "acc_norm": 0.5367647058823529, "acc_norm_stderr": 0.03029061918048569 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.5147058823529411, "acc_stderr": 0.020219083895133924, "acc_norm": 0.5147058823529411, "acc_norm_stderr": 0.020219083895133924 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6090909090909091, "acc_stderr": 0.04673752333670238, "acc_norm": 0.6090909090909091, "acc_norm_stderr": 0.04673752333670238 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.6408163265306123, "acc_stderr": 0.03071356045510849, "acc_norm": 0.6408163265306123, "acc_norm_stderr": 0.03071356045510849 }, "harness|hendrycksTest-sociology|5": { "acc": 0.7164179104477612, "acc_stderr": 0.03187187537919797, "acc_norm": 0.7164179104477612, "acc_norm_stderr": 0.03187187537919797 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.8, "acc_stderr": 0.04020151261036845, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-virology|5": { "acc": 0.43373493975903615, "acc_stderr": 0.03858158940685516, "acc_norm": 0.43373493975903615, "acc_norm_stderr": 0.03858158940685516 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.7134502923976608, "acc_stderr": 0.034678266857038245, "acc_norm": 0.7134502923976608, "acc_norm_stderr": 0.034678266857038245 }, "harness|truthfulqa:mc|0": { "mc1": 0.27906976744186046, "mc1_stderr": 0.015702107090627904, "mc2": 0.45933703025376155, "mc2_stderr": 0.01568029542861706 }, "harness|winogrande|5": { "acc": 0.6424625098658248, "acc_stderr": 0.01347000744392069 }, "harness|gsm8k|5": { "acc": 0.0310841546626232, "acc_stderr": 0.004780296718393351 } } ``` ## Dataset Details ### Dataset Description  - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

mirandal/image_descriptions_cleaned

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 63932199.0 num_examples: 1000 download_size: 63719358 dataset_size: 63932199.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

autoevaluate/autoeval-eval-tweet_eval-offensive-f58805-30720144955

--- type: predictions tags: - autotrain - evaluation datasets: - tweet_eval eval_info: task: multi_class_classification model: cardiffnlp/roberta-base-offensive metrics: ['bertscore'] dataset_name: tweet_eval dataset_config: offensive dataset_split: train col_mapping: text: text target: label --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Multi-class Text Classification * Model: cardiffnlp/roberta-base-offensive * Dataset: tweet_eval * Config: offensive * Split: train To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@fabeelaalirawther@gmail.com](https://huggingface.co/fabeelaalirawther@gmail.com) for evaluating this model.

FaalSa/cluster2

--- dataset_info: features: - name: start dtype: timestamp[s] - name: target sequence: float32 - name: item_id dtype: string - name: feat_static_cat sequence: uint64 splits: - name: train num_bytes: 39452 num_examples: 1 - name: validation num_bytes: 39932 num_examples: 1 - name: test num_bytes: 40412 num_examples: 1 download_size: 134899 dataset_size: 119796 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

sudeepag/sampled-t0_fsopt_data

--- dataset_info: features: - name: inputs dtype: string - name: targets dtype: string - name: _template_idx dtype: int64 - name: _task_source dtype: string - name: _task_name dtype: string - name: _template_type dtype: string splits: - name: train num_bytes: 19274572309.077045 num_examples: 6590315 download_size: 10861295931 dataset_size: 19274572309.077045 configs: - config_name: default data_files: - split: train path: data/train-* ---

J4YL19/biored_tokenized_1

--- dataset_info: features: - name: pmid dtype: string - name: passage dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 splits: - name: train num_bytes: 2615456 num_examples: 387 - name: val num_bytes: 700577 num_examples: 98 - name: test num_bytes: 667744 num_examples: 97 download_size: 1084461 dataset_size: 3983777 --- # Dataset Card for "biored_tokenized_new" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

CyberHarem/sen_no_rikyu_fgo

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of sen_no_rikyu/千利休/千利休 (Fate/Grand Order) This is the dataset of sen_no_rikyu/千利休/千利休 (Fate/Grand Order), containing 89 images and their tags. The core tags of this character are `blunt_bangs, black_eyes, hat, grey_hair, multicolored_hair, black_hair, gradient_hair, medium_hair, tassel, black_headwear, white_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:-----------|:------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 89 | 145.35 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sen_no_rikyu_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 89 | 120.89 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sen_no_rikyu_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 190 | 222.59 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sen_no_rikyu_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/sen_no_rikyu_fgo', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 13 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, looking_at_viewer, solo, black_kimono, blue_flower, morning_glory, wide_sleeves, long_sleeves, holding, smile, simple_background, white_background, obi, closed_mouth | | 1 | 7 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, black_kimono, looking_at_viewer, solo, wide_sleeves, blue_flower, disembodied_limb, obi, smile, holding, long_sleeves, morning_glory, cup, flower_knot | | 2 | 8 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, red_kimono, solo, looking_at_viewer, red_headwear, short_hair, long_sleeves, obi, smile, wide_sleeves, folding_fan, holding_fan, simple_background, closed_mouth, disembodied_limb, white_background | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | solo | black_kimono | blue_flower | morning_glory | wide_sleeves | long_sleeves | holding | smile | simple_background | white_background | obi | closed_mouth | disembodied_limb | cup | flower_knot | red_kimono | red_headwear | short_hair | folding_fan | holding_fan | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------------|:-------|:---------------|:--------------|:----------------|:---------------|:---------------|:----------|:--------|:--------------------|:-------------------|:------|:---------------|:-------------------|:------|:--------------|:-------------|:---------------|:-------------|:--------------|:--------------| | 0 | 13 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | 1 | 7 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | X | X | X | X | X | X | X | X | X | | | X | | X | X | X | | | | | | | 2 | 8 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X | X | X | | | | X | X | | X | X | X | X | X | X | | | X | X | X | X | X |

Rayan2023/dataset

--- license: openrail ---

aminlouhichi/test

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: ground_truth dtype: string splits: - name: train num_bytes: 27904115.0 num_examples: 128 - name: validation num_bytes: 5016141.0 num_examples: 22 - name: test num_bytes: 5016141.0 num_examples: 22 download_size: 35791518 dataset_size: 37936397.0 --- # Dataset Card for "test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Hipnotalamusz/AI_Assisted_Self_Images_With_Prompts_And_Personality_Tests

--- task_categories: - image-classification - text-classification language: - en tags: - psychology - art pretty_name: Digital mirror of the soul --- # Digital Mirror of the Soul - AI-Assisted Self-Images with Prompts and Psychological Questionnaires This dataset originates from a study that examines the intersection of artificial intelligence, psychology, and art. It provides a comprehensive collection of AI-generated images and textual prompts from participants engaging in a task designed to express their self-image. This work is ideal for researchers in the fields of psychology, artificial intelligence, and art therapy, offering a novel dataset for exploring self-representation and the psychological dimensions of AI-assisted art creation. ## Dataset Details ### Dataset Description This dataset comprises 18,219 images and 6,519 textual prompts created by 153 participants using the Midjourney v.4 and subsequently upgraded to v.5 AI software. Participants were tasked to create images that they believe are reflective of their personality, with a creation window limited to 45 minutes, meaning each entry is a participant's attempt to visualize aspects of their self-perception. In addition to image creation, participants completed a series of psychological questionnaires, detailed further in the description. They also engaged in a 15-20 minute interview with a psychology student, discussing the creation process, their images, and along with any thoughts, feelings, or memories evoked during the procedure. This dataset, containing the images, prompts, and results of various psychological questionnaires, supports a variety of research objectives, including the development of models to analyze visual and verbal self-expression, their development and temporal changes over the image creating session, and their potential use in inferring relevant psychological constructs ranging from body image, perfectionism, self-esteem, stability of identity, and BIG5 personality traits. - **Curated by:** Klaus Kellerwessel (0009-0005-6420-5691) and Lilla Juhász - **Funded by:** ÚNKP-23-2 New National Excellence Program of the Ministry for Culture and Innovation from the source of the Hungarian National Research, Development, and Innovation Fund. - **Language(s) (NLP):** English ### Dataset Sources [Optional] - **Repository:** [https://huggingface.co/datasets/Hipnotalamusz/AI_Assisted_Self_Images_With_Prompts_And_Personality_Tests](https://huggingface.co/datasets/Hipnotalamusz/AI_Assisted_Self_Images_With_Prompts_And_Personality_Tests) - **Paper [Optional]:** Under revision - we will add it later ## Uses The dataset is intended for academic researchers and practitioners interested in the cross-disciplinary areas of AI, psychology, and art therapy. It offers a unique dataset for studying the nuances of self-representation, providing a basis for both quantitative and qualitative analyses. Researchers interested in machine learning, gender studies, and the psychological impact of AI on art creation will find this dataset particularly useful. It facilitates a deeper understanding of the role of AI in art therapy practices and the broader implications for psychological research. ### Direct Use - Developing AI-driven psychological assessment tools that interpret visual and textual data. - Investigating the nuances of identity expression through digital art. - Enhancing art therapy practices with AI technology. ### Out-of-Scope Use The dataset is designed for scholarly research and is not intended for commercial use or any applications that could compromise the privacy or anonymity of the participants. Ethical guidelines should be strictly followed to ensure respectful and responsible use of the data. ## Dataset Structure The dataset is structured with comprehensive metadata for each participant's AI-generated images and textual prompts. Here's a guide to navigating and utilizing this rich dataset: ### Overview The dataset includes multiple rows for each participant, where each row corresponds to an image generated from a single text prompt. The columns encompass demographic information, psychological assessments, and details related to the image creation process. ### Columns Description - **Participant_ID:** Each participant created a unique identifier for themselves. This was necessary because participants filled in the questionnaires online one day before the image creation procedure, and we needed to connect the questionnaire results to the images and interviews somehow. We opted not to generate an ID from the participants' names due to privacy concerns, and this self-chosen approach seemed to work. Since the participants were all Hungarian, they sometimes used Hungarian words like "kémény" (chimney), "teknős" (turtle), and some in English (e.g., "soviet cat") or seemingly nonsensical (e.g., "t2ki7m") IDs also appear. - **Image number:** A sequential number indicating the order of the image generated by the participant. Images generated from the same prompt at the same session (see Event type) share their Image number. - **Text Prompt:** The textual description provided by the participant to generate the image in natural language. - **Event type:** Describes the nature of the image generation event: "imagine" for initial creations, "variation" for variations of an initial image, and "upscale" for a bigger and more detailed version of an initial image. The Midjourney program generates 4 images per 1 prompt for the initial image type "imagine" and their "variations", resulting in these images sharing image numbers in groups of 4 (see Image numbers). - **file_name:** The name of the file corresponding to the generated image, encapsulating the participant ID, image number, and the first 40 characters of the text prompt used. We also added some random characters to the end to ensure that every image's file_name is unique. - **Gender:** Participant's gender (1 indicates female, 0 male - we will add the data of our non-binary participants later). - **Age:** Participant's age. - **Highest level of education:** Coded value representing the participant's highest level of education achieved. And various psychological measures, including: - **Rosenberg self-esteem** The Rosenberg Self-Esteem Scale is a widely used tool for assessing an individual's self-esteem. It consists of 10 items designed to measure both positive and negative feelings about the self. The scale is scored on a four-point Likert scale, ranging from strongly agree to strongly disagree, with higher scores indicating higher self-esteem. Participants with high self-concept clarity might produce images and prompts that are more consistent and coherent, reflecting a stable and well-defined sense of self. (Rosenberg Self-esteem Scale: Horváth, Zs., Urbán, R., Kökönyei, Gy., Demetrovics, Zs. (2022). Kérdőíves módszerek a klinikai és egészségpszichológiai kutatásban és gyakorlatban I. Budapest: Medicina könyvkiadó.) - **Extraversion/Big5 to Openness/Big5** This shortened version of the Big Five Personality Test measures five key dimensions of personality: Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness. Each dimension is assessed with two items, offering a brief yet effective insight into an individual's personality traits. The Big Five traits could offer a nuanced understanding of the themes and motifs chosen in the art creation process. For instance, high Openness might be linked to more creative and diverse prompts, while high Extraversion could relate to more socially engaging or dynamic content. (10-item Personality Inventory (Big5 – shortened version): Chiorri, C., Bracco, F., Piccinno, T., Modafferi, C., & Battini, V. (2015). Psychometric properties of a revised version of the Ten Item Personality Inventory. European Journal of Psychological Assessment.) - **Self-concept clarity** The Self-Concept Clarity Scale assesses the extent to which an individual's self-concept is clearly and confidently defined, internally consistent, and stable over time. High scores indicate a clear and confident self-concept. Participants with high self-concept clarity might produce images and prompts that are more consistent and coherent, reflecting a stable and well-defined sense of self. (Self-Concept Clarity Sale: Hargitai, R., Rózsa, S., Hupuczi, E., Birkás, B., Hartung, I., Hartungné Somlai, E., ... & Kállai, J. (2021). Énkép egyértelműség mérése és korrelátumai. Magyar Pszichológiai Szemle, 75(4), 557-580.) - **Beck depression** The Beck Depression Inventory is a 21-item self-report inventory, one of the most widely used instruments for measuring the severity of depression. Each item is scored on a scale from 0 to 3, with higher total scores indicating more severe depressive symptoms. Depression scores could influence the emotional tone of the generated images and prompts. Higher scores might be associated with themes of sadness, isolation, or other negative emotional expressions. (Beck Depression Inventory (BDI): 75 Papír-Ceruza teszt. Pszicho-ped Bt. - https://animula.hu/konyv/75-papir-ceruza-teszt ) - **Interpersonal.../Ego Identity Status to Ideological achieved identity/Ego Identity Status** This assessment tool measures Ego Identity Status across different domains, including interpersonal relations and ideological commitments. It categorizes identity status into diffusion, foreclosure, moratorium, and achievement, providing insight into the individual's identity exploration and commitment processes. Identity status may impact the thematic diversity and depth of participants' creations. Those in the achievement status might exhibit a greater variety of themes, reflecting a well-explored sense of identity. (Extended Objective Measure of EGO Identity Status II. /EOM-EIS II.: Jámbori, Sz., Kőrössy, J. (2019). A szándékos önsza-bályozás jelentősége serdülő és fiatal felnőttkorban a társas támogatás, az identitásállapotok és a reziliencia tükrében. Alkalma-zott Pszichológia 19(3): 33-52.) - **Standards/Perfectionism to Discrepancy/Perfectionism** This scale assesses perfectionism by measuring standards and discrepancy aspects. High standards reflect the setting of high personal performance standards, while discrepancy refers to perceived shortcomings in meeting those standards. Perfectionism scores, especially high discrepancy, might relate to how participants critique their own creations or the iterative process of refining their images through variations. (Almost Perfect Scale (perfectionism): Horváth, Zs., Urbán, R., Kökönyei, Gy., Demetrovics, Zs. (2022). Kérdőíves módszerek a klinikai és egészségpszichológiai kutatásban és gyakorlatban I. Budapest: Medicina könyvkiadó.) - **Total/Body Image to Rest/Body image** This questionnaire assesses body image across several dimensions, including general satisfaction with one's body, evaluation of body size, knowledge about one's body, and attitudes toward specific body parts or aspects. Body image scores could influence how participants choose to represent themselves or others in their images. Issues with body image might lead to avoiding personal representation or altering aspects of appearance in the generated art. (Personal body attitudes questionnaire: Horváth, Zs., Urbán, R., Kökönyei, Gy., Demetrovics, Zs. (2022). Kérdőíves módszerek a klinikai és egészségpszichológiai kutatásban és gyakorlatban I. Budapest: Medicina könyvkiadó.) ### Navigating and Utilizing the Dataset - **Participant Analysis:** Isolate data for individual participants using the Participant_ID column for qualitative case studies or aggregate data across participants for broader analyses. - **Image Type and Number:** Key to understanding the context of each image. Variations or upscales from an image might reflect a participant's preference for continuing to work on this particular image, assuming that the upscaled and variated images might contain more useful information than the more accidental "imagine" types. The image number enables us to investigate the dynamic processes of image creation, the shifts of focus, and experimentations. - **Text Prompts:** Explore thematic (categories, topics used in self-description) or formal (linguistic, stylistic) features of the prompts, their changes in the creation process, or correlations with the psychological measures provided. - **Images:** Analyze thematic (content of the image) or formal (colors, brightness, composition, edge density, etc.) features of the images to infer different psychological and demographic data. - **Statistical and Machine Learning Analyses:** Use the dataset for both traditional statistical analyses and advanced machine learning models (both supervised and unsupervised) to explore underlying patterns and correlations in how participants express themselves through AI-generated art. ## Dataset Creation ### Curation Rationale As passive recipients, we often differentiate sharply between AI and human-made artworks. However, studies show that when individuals personally engage with AI art softwares, they tend to view the creative process as collaborative, feeling a sense of ownership over the finished works. This type of involvement and sense of personal connection can serve as a basis for the use of these tools in art therapy and even psychometrics. This dataset primarily investigates how individuals can express complex psychological states through AI-generated art - and whether it is possible to deduce them from only the images and the prompts used. ### Source Data Data was collected in a controlled study environment, with participants guided through the process of creating AI-assisted art. #### Data Collection and Processing The test session, which lasts between 80 and 90 minutes, involves only the examiner and the participant. The procedure begins with a brief tutorial on the image-generation software (Midjourney®), where an example image is generated using a 'Dogs and flowers' prompt. After obtaining informed consent, participants are instructed to take self-portraits for 45 minutes, using natural language prompts as guided by the following standardized instruction: > "I would like to ask you to try to take pictures of yourself that express who you are and how you feel about yourself. These images do not have to be lifelike, but they can be. They can be based on several basic ideas, embedded in scenes or situations, and can deviate from reality as much as you like. During the image creation process, you can specify artistic styles, play with the format, composition, lighting, and colours. The goal is to produce as many images as possible that you feel capture something of your personality." During image creation, participants are encouraged to ask technical questions and may use the online DeepL translator to overcome language barriers, given that the participants were Hungarian and the image creation process was conducted in English. However, they receive no further assistance; for example, they cannot use a mirror or a specific image found on their phone as a template. The 45 minutes starts after the first successfully completed image pack is loaded, and the examiner gives a signal five minutes before it runs out. Upon completing the 45-minute period, participants are allowed to finish the prompt they have already started but are not permitted to initiate new ones. The image-making phase was followed by a 15-20 minute semi-structured interview, guided by the following questions: - How are you feeling now? - What was it like to go through the task? - Was the 45-minute duration enough, or did you feel it was too much or too little? - Did you experience a state of flow? Were you able to settle in? - What goals did you set for yourself? - Did you have any strategy or did you simply allow yourself to associate freely? - How difficult was it for you to try to define yourself for 45 minutes? - How do you relate to the finished images? - Which ones do you feel are the most expressive of yourself? - Which ones the least? - Which one do you think your best friend would find the most expressive of you? - How does it feel to look through the pictures now? - Have you had any realisations in terms of self-knowledge? - Did you encounter any drawbacks or difficulties in using the program or during the test-taking process? - What would you change if you could start over? #### Who are the Source Data Producers? All of our participants were Hungarian young adults between 18 and 28 years old. They have been anonymized, with their questionnaires, interviews, and images linked solely through the unique ID each participant selected. ## Bias, Risks, and Limitations The dataset's interpretations should be made with caution, considering the socio-cultural context of the participants and the influence of AI technology on artistic expression. Ethical considerations are paramount, especially concerning participant privacy and the interpretation of artistic expressions. ### Recommendations Researchers are encouraged to approach the dataset with a multidisciplinary perspective, integrating insights from psychology, artificial intelligence, and art theory. This dataset offers a unique opportunity to explore the boundaries of AI-mediated human expression and its implications for psychological research and practice. Careful, ethical analysis can lead to significant advancements in our understanding of AI as a tool for self-exploration and expression in both clinical and research settings. ## Citation [Optional] _Coming soon!_ **BibTeX:** **APA:** ## Dataset Card Authors [Optional] Klaus Kellerwessel (Eötvös Loránd Tudományegyetem, Budapest; University of Pannonia, Veszprém) ## Dataset Card Contact kellerwesselklaus@gmail.com

sinhala-nlp/HelaTransformer

--- license: unknown ---

saibo/bookcorpus_compact_1024_shard5_of_10

--- dataset_info: features: - name: text dtype: string - name: concept_with_offset dtype: string splits: - name: train num_bytes: 739992156 num_examples: 61605 download_size: 372896291 dataset_size: 739992156 --- # Dataset Card for "bookcorpus_compact_1024_shard5" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

HumanF-MarkrAI/new_instruct_concated

--- dataset_info: features: - name: input dtype: string - name: output dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 2184658366 num_examples: 657763 download_size: 1108568226 dataset_size: 2184658366 configs: - config_name: default data_files: - split: train path: data/train-* ---

FlyCole/Dream2Real

--- license: cc-by-nc-sa-4.0 ---

sezosan/arc_tr_s4

--- dataset_info: features: - name: id dtype: string - name: question dtype: string - name: choices sequence: - name: text dtype: string - name: label dtype: string - name: answerKey dtype: string splits: - name: validation num_bytes: 86423.0 num_examples: 250 download_size: 50638 dataset_size: 86423.0 configs: - config_name: default data_files: - split: validation path: data/validation-* --- # Dataset Card for "arc_tr_s4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

reza-alipour/muse-landmark-0

--- dataset_info: features: - name: id dtype: string - name: image dtype: image - name: mask dtype: image - name: caption dtype: string - name: caption_fre dtype: string - name: caption_deu dtype: string - name: caption_ita dtype: string - name: caption_spa dtype: string - name: generated_mask dtype: image splits: - name: train num_bytes: 578425461.5 num_examples: 1500 download_size: 230627940 dataset_size: 578425461.5 configs: - config_name: default data_files: - split: train path: data/train-* ---

Kamyar-zeinalipour/EN_CW

--- dataset_info: features: - name: date dtype: string - name: answer dtype: string - name: clue dtype: string - name: partial dtype: bool - name: couple_occurencies dtype: int64 splits: - name: train num_bytes: 387434957 num_examples: 7327448 download_size: 188270614 dataset_size: 387434957 --- # Dataset Card for "EN_CW" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

amphora/lmsys-filtered

--- dataset_info: features: - name: conversation_id dtype: string - name: model dtype: string - name: conversation dtype: string - name: turn dtype: int64 - name: language dtype: string - name: openai_moderation dtype: string - name: redacted dtype: bool - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 317822351 num_examples: 62968 download_size: 122101594 dataset_size: 317822351 --- # Dataset Card for "lmsys-filtered" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

tasksource/natural-language-satisfiability

--- task_categories: - text-classification language: - en task_ids: - natural-language-inference --- ```bibtex @misc{https://doi.org/10.48550/arxiv.2211.05417, doi = {10.48550/ARXIV.2211.05417}, url = {https://arxiv.org/abs/2211.05417}, author = {Schlegel, Viktor and Pavlov, Kamen V. and Pratt-Hartmann, Ian}, keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences}, title = {Can Transformers Reason in Fragments of Natural Language?}, publisher = {arXiv}, year = {2022}, copyright = {Creative Commons Attribution 4.0 International} } ```

result-kand2-sdxl-wuerst-karlo/ddb740fe

--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 201 num_examples: 10 download_size: 1398 dataset_size: 201 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "ddb740fe" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

TahmidH/Bengali_Sentence_Construction

--- license: cc0-1.0 language: - bn size_categories: - 1K<n<10K ---

Maxwell001/skill_model_formatted_2

--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 444276 num_examples: 1023 download_size: 187166 dataset_size: 444276 configs: - config_name: default data_files: - split: train path: data/train-* ---

nonnon/test

--- license: other ---

nyanko7/LLaMA-65B

--- license: openrail ---

zolak/twitter_dataset_50_1713129456

--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 264030 num_examples: 604 download_size: 133659 dataset_size: 264030 configs: - config_name: default data_files: - split: train path: data/train-* ---

edumunozsala/dpo-hate-speech-es

--- dataset_info: features: - name: input dtype: string - name: chosen dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 1802231 num_examples: 3572 download_size: 994667 dataset_size: 1802231 configs: - config_name: default data_files: - split: train path: data/train-* ---

M-AI-C/en-tafsir-mokhtasar

--- dataset_info: features: - name: ayah dtype: int64 - name: sorah dtype: int64 - name: sentence dtype: string - name: en-tafsir-mokhtasar-html dtype: string - name: en-tafsir-mokhtasar-text dtype: string splits: - name: train num_bytes: 4976739 num_examples: 6235 download_size: 2479802 dataset_size: 4976739 --- # Dataset Card for "en-tafsir-mokhtasar" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

harshithvh/llama2_format

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 411866 num_examples: 251 download_size: 88988 dataset_size: 411866 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla/dolly-curated-comparison-falcon-7b-instruct

--- language: en dataset_info: features: - name: prompt dtype: string - name: response-1 dtype: string - name: response-2 dtype: string - name: category dtype: string - name: original_response dtype: string - name: external_id dtype: int64 splits: - name: train num_bytes: 10328235 num_examples: 7401 download_size: 6598297 dataset_size: 10328235 --- # Dataset Card for "dolly-curated-comparison-falcon-7b-instruct" This dataset contains two generated responses using the `falcon-7b-instruct` model and the original, curated, prompt + responses from the Dolly v2 curated dataset. For now only 50% of the original dataset is available but we plan to complete it. This dataset can be used for training a reward model for RLHF using [Argilla Feedback](https://docs.argilla.io/en/latest/guides/llms/conceptual_guides/conceptual_guides.html) [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

UnstableJeje/donald

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 184278.0 num_examples: 21 download_size: 185347 dataset_size: 184278.0 --- # Dataset Card for "donald" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

kor_sarcasm

--- 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](jiwon.kim.096@gmail.com) ### 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.

wanng/midjourney-v5-202304-clean

--- license: apache-2.0 task_categories: - text-to-image - image-to-text language: - en tags: - midjourney --- # midjourney-v5-202304-clean ## 简介 Brief Introduction 非官方的，爬取自midjourney v5的2023年4月的数据，一共1701420条。 Unofficial, crawled from midjourney v5 for April 2023, 1,701,420 pairs in total. ## 数据集信息 Dataset Information 原始项目地址：https://huggingface.co/datasets/tarungupta83/MidJourney_v5_Prompt_dataset 我做了一些清洗，清理出了两个文件： - ori_prompts_df.parquet （1,255,812对，midjourney的四格图） ![ori_sample](https://cdn.discordapp.com/attachments/995431387333152778/1098283849076711424/mansonwu_A_charismatic_wealthy_young_man_is_fully_immersed_in_a_9bd4f414-eb40-4642-a381-f5ac56e99ec5.png) - upscaled_prompts_df.parquet （445,608对，使用了高清指令的图，这意味着这个图更受欢迎。） ![upscaled_sample](https://cdn.discordapp.com/attachments/984632520471633920/1105721768422948905/Tomberhood_The_intelligent_rescue_boat_on_the_beach_can_automat_e54faffe-0668-49e4-812d-713038bdc7bc.png) Original project address: https://huggingface.co/datasets/tarungupta83/MidJourney_v5_Prompt_dataset I did some cleaning and cleaned out two files: - ori_prompts_df.parquet (1,255,812 pairs, midjourney's four-frame diagrams) - upscaled_prompts_df.parquet (445,608 pairs, graphs that use the Upscale command, which means this one is more popular.)

manishiitg/camel-ai-chemistry

--- dataset_info: features: - name: system dtype: string - name: instruction dtype: string - name: response dtype: string - name: lang dtype: string splits: - name: train num_bytes: 159637053 num_examples: 40000 download_size: 52279570 dataset_size: 159637053 configs: - config_name: default data_files: - split: train path: data/train-* ---

CyberHarem/ashisu_sahoto_mangakasantoassistantsanto

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Ashisu Sahoto This is the dataset of Ashisu Sahoto, containing 200 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 200 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 407 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 200 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 200 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 200 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 200 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 200 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 407 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 407 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 407 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |

Meunomeejohn/Geto

--- license: openrail ---

CyberHarem/tiamat_fireemblem

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of tiamat (Fire Emblem) This is the dataset of tiamat (Fire Emblem), containing 55 images and their tags. The core tags of this character are `long_hair, red_hair, green_eyes, braid, very_long_hair, single_braid`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:----------|:-------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 55 | 58.54 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tiamat_fireemblem/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 55 | 36.85 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tiamat_fireemblem/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 94 | 61.02 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tiamat_fireemblem/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 55 | 52.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tiamat_fireemblem/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 94 | 82.25 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tiamat_fireemblem/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/tiamat_fireemblem', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 5 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, large_breasts, looking_at_viewer, solo, beach, cleavage, day, ocean, outdoors, smile, ass, blush, one-piece_swimsuit, sky, white_bikini | | 1 | 24 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, solo, breastplate, white_background, looking_at_viewer, gauntlets, smile, spear | | 2 | 9 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, necklace, smile, solo, dress, head_wreath, hair_flower, holding_staff, long_sleeves, boots, full_body, looking_at_viewer, simple_background | | 3 | 5 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 1girl, 1boy, blush, hetero, large_breasts, nipples, censored, cum_in_pussy, female_pubic_hair, penis, sex, completely_nude, heart, navel, open_mouth, solo_focus, vaginal | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | large_breasts | looking_at_viewer | solo | beach | cleavage | day | ocean | outdoors | smile | ass | blush | one-piece_swimsuit | sky | white_bikini | breastplate | white_background | gauntlets | spear | necklace | dress | head_wreath | hair_flower | holding_staff | long_sleeves | boots | full_body | simple_background | 1boy | hetero | nipples | censored | cum_in_pussy | female_pubic_hair | penis | sex | completely_nude | heart | navel | open_mouth | solo_focus | vaginal | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:----------------|:--------------------|:-------|:--------|:-----------|:------|:--------|:-----------|:--------|:------|:--------|:---------------------|:------|:---------------|:--------------|:-------------------|:------------|:--------|:-----------|:--------|:--------------|:--------------|:----------------|:---------------|:--------|:------------|:--------------------|:-------|:---------|:----------|:-----------|:---------------|:--------------------|:--------|:------|:------------------|:--------|:--------|:-------------|:-------------|:----------| | 0 | 5 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 24 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | | X | X | | | | | | X | | | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | 2 | 9 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X | | X | X | | | | | | X | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | 3 | 5 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | X | X | | | | | | | | | | X | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X |

speed1/rk

--- license: openrail ---

open-llm-leaderboard/details_chinoll__Yi-7b-dpo

--- pretty_name: Evaluation run of chinoll/Yi-7b-dpo dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [chinoll/Yi-7b-dpo](https://huggingface.co/chinoll/Yi-7b-dpo) on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_chinoll__Yi-7b-dpo\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-04T16:10:38.355372](https://huggingface.co/datasets/open-llm-leaderboard/details_chinoll__Yi-7b-dpo/blob/main/results_2023-12-04T16-10-38.355372.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\": 0.6274780891690785,\n\ \ \"acc_stderr\": 0.03214198982171106,\n \"acc_norm\": 0.6382309545732996,\n\ \ \"acc_norm_stderr\": 0.03286487964348697,\n \"mc1\": 0.3047735618115055,\n\ \ \"mc1_stderr\": 0.016114124156882455,\n \"mc2\": 0.4551491788416383,\n\ \ \"mc2_stderr\": 0.014826375266749701\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.39505119453924914,\n \"acc_stderr\": 0.014285898292938172,\n\ \ \"acc_norm\": 0.4308873720136519,\n \"acc_norm_stderr\": 0.014471133392642475\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5570603465445131,\n\ \ \"acc_stderr\": 0.004957182635381807,\n \"acc_norm\": 0.7452698665604461,\n\ \ \"acc_norm_stderr\": 0.004348189459336535\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.7105263157894737,\n \"acc_stderr\": 0.03690677986137282,\n\ \ \"acc_norm\": 0.7105263157894737,\n \"acc_norm_stderr\": 0.03690677986137282\n\ \ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\ : {\n \"acc\": 0.6943396226415094,\n \"acc_stderr\": 0.028353298073322666,\n\ \ \"acc_norm\": 0.6943396226415094,\n \"acc_norm_stderr\": 0.028353298073322666\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6527777777777778,\n\ \ \"acc_stderr\": 0.039812405437178615,\n \"acc_norm\": 0.6527777777777778,\n\ \ \"acc_norm_stderr\": 0.039812405437178615\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.048241815132442176,\n \ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.048241815132442176\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\"\ : 0.54,\n \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.03599586301247077,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.03599586301247077\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.30392156862745096,\n \"acc_stderr\": 0.04576665403207762,\n\ \ \"acc_norm\": 0.30392156862745096,\n \"acc_norm_stderr\": 0.04576665403207762\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.77,\n \"acc_stderr\": 0.042295258468165065,\n \"acc_norm\": 0.77,\n\ \ \"acc_norm_stderr\": 0.042295258468165065\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.6042553191489362,\n \"acc_stderr\": 0.03196758697835362,\n\ \ \"acc_norm\": 0.6042553191489362,\n \"acc_norm_stderr\": 0.03196758697835362\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\": 0.6137931034482759,\n \"acc_stderr\": 0.04057324734419035,\n\ \ \"acc_norm\": 0.6137931034482759,\n \"acc_norm_stderr\": 0.04057324734419035\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.47354497354497355,\n \"acc_stderr\": 0.02571523981134676,\n \"\ acc_norm\": 0.47354497354497355,\n \"acc_norm_stderr\": 0.02571523981134676\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3888888888888889,\n\ \ \"acc_stderr\": 0.04360314860077459,\n \"acc_norm\": 0.3888888888888889,\n\ \ \"acc_norm_stderr\": 0.04360314860077459\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7774193548387097,\n\ \ \"acc_stderr\": 0.023664216671642518,\n \"acc_norm\": 0.7774193548387097,\n\ \ \"acc_norm_stderr\": 0.023664216671642518\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.49261083743842365,\n \"acc_stderr\": 0.03517603540361009,\n\ \ \"acc_norm\": 0.49261083743842365,\n \"acc_norm_stderr\": 0.03517603540361009\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\"\ : 0.63,\n \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7696969696969697,\n \"acc_stderr\": 0.0328766675860349,\n\ \ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.0328766675860349\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8080808080808081,\n \"acc_stderr\": 0.028057791672989017,\n \"\ acc_norm\": 0.8080808080808081,\n \"acc_norm_stderr\": 0.028057791672989017\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8601036269430051,\n \"acc_stderr\": 0.02503387058301518,\n\ \ \"acc_norm\": 0.8601036269430051,\n \"acc_norm_stderr\": 0.02503387058301518\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6487179487179487,\n \"acc_stderr\": 0.024203665177902803,\n\ \ \"acc_norm\": 0.6487179487179487,\n \"acc_norm_stderr\": 0.024203665177902803\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253252,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253252\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.7605042016806722,\n \"acc_stderr\": 0.027722065493361276,\n\ \ \"acc_norm\": 0.7605042016806722,\n \"acc_norm_stderr\": 0.027722065493361276\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3973509933774834,\n \"acc_stderr\": 0.0399552400768168,\n \"acc_norm\"\ : 0.3973509933774834,\n \"acc_norm_stderr\": 0.0399552400768168\n },\n\ \ \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\": 0.8385321100917431,\n\ \ \"acc_stderr\": 0.01577623925616323,\n \"acc_norm\": 0.8385321100917431,\n\ \ \"acc_norm_stderr\": 0.01577623925616323\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\ : {\n \"acc\": 0.5370370370370371,\n \"acc_stderr\": 0.03400603625538272,\n\ \ \"acc_norm\": 0.5370370370370371,\n \"acc_norm_stderr\": 0.03400603625538272\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7794117647058824,\n \"acc_stderr\": 0.02910225438967409,\n \"\ acc_norm\": 0.7794117647058824,\n \"acc_norm_stderr\": 0.02910225438967409\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7805907172995781,\n \"acc_stderr\": 0.026939106581553945,\n \ \ \"acc_norm\": 0.7805907172995781,\n \"acc_norm_stderr\": 0.026939106581553945\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6591928251121076,\n\ \ \"acc_stderr\": 0.0318114974705536,\n \"acc_norm\": 0.6591928251121076,\n\ \ \"acc_norm_stderr\": 0.0318114974705536\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7480916030534351,\n \"acc_stderr\": 0.03807387116306086,\n\ \ \"acc_norm\": 0.7480916030534351,\n \"acc_norm_stderr\": 0.03807387116306086\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.768595041322314,\n \"acc_stderr\": 0.03849856098794086,\n \"acc_norm\"\ : 0.768595041322314,\n \"acc_norm_stderr\": 0.03849856098794086\n },\n\ \ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8055555555555556,\n\ \ \"acc_stderr\": 0.038260763248848646,\n \"acc_norm\": 0.8055555555555556,\n\ \ \"acc_norm_stderr\": 0.038260763248848646\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7791411042944786,\n \"acc_stderr\": 0.03259177392742179,\n\ \ \"acc_norm\": 0.7791411042944786,\n \"acc_norm_stderr\": 0.03259177392742179\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.39285714285714285,\n\ \ \"acc_stderr\": 0.04635550135609976,\n \"acc_norm\": 0.39285714285714285,\n\ \ \"acc_norm_stderr\": 0.04635550135609976\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.03989139859531771,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.03989139859531771\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.02126271940040697,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.02126271940040697\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.74,\n \"acc_stderr\": 0.04408440022768079,\n \ \ \"acc_norm\": 0.74,\n \"acc_norm_stderr\": 0.04408440022768079\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8109833971902938,\n\ \ \"acc_stderr\": 0.014000791294407004,\n \"acc_norm\": 0.8109833971902938,\n\ \ \"acc_norm_stderr\": 0.014000791294407004\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7225433526011561,\n \"acc_stderr\": 0.024105712607754307,\n\ \ \"acc_norm\": 0.7225433526011561,\n \"acc_norm_stderr\": 0.024105712607754307\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3854748603351955,\n\ \ \"acc_stderr\": 0.016277927039638193,\n \"acc_norm\": 0.3854748603351955,\n\ \ \"acc_norm_stderr\": 0.016277927039638193\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7287581699346405,\n \"acc_stderr\": 0.025457756696667878,\n\ \ \"acc_norm\": 0.7287581699346405,\n \"acc_norm_stderr\": 0.025457756696667878\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7331189710610932,\n\ \ \"acc_stderr\": 0.025122637608816657,\n \"acc_norm\": 0.7331189710610932,\n\ \ \"acc_norm_stderr\": 0.025122637608816657\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7191358024691358,\n \"acc_stderr\": 0.025006469755799208,\n\ \ \"acc_norm\": 0.7191358024691358,\n \"acc_norm_stderr\": 0.025006469755799208\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.46099290780141844,\n \"acc_stderr\": 0.029736592526424438,\n \ \ \"acc_norm\": 0.46099290780141844,\n \"acc_norm_stderr\": 0.029736592526424438\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.48565840938722293,\n\ \ \"acc_stderr\": 0.012764981829524265,\n \"acc_norm\": 0.48565840938722293,\n\ \ \"acc_norm_stderr\": 0.012764981829524265\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6470588235294118,\n \"acc_stderr\": 0.02902942281568139,\n\ \ \"acc_norm\": 0.6470588235294118,\n \"acc_norm_stderr\": 0.02902942281568139\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.673202614379085,\n \"acc_stderr\": 0.01897542792050721,\n \ \ \"acc_norm\": 0.673202614379085,\n \"acc_norm_stderr\": 0.01897542792050721\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7,\n\ \ \"acc_stderr\": 0.04389311454644287,\n \"acc_norm\": 0.7,\n \ \ \"acc_norm_stderr\": 0.04389311454644287\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7551020408163265,\n \"acc_stderr\": 0.02752963744017493,\n\ \ \"acc_norm\": 0.7551020408163265,\n \"acc_norm_stderr\": 0.02752963744017493\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8258706467661692,\n\ \ \"acc_stderr\": 0.026814951200421603,\n \"acc_norm\": 0.8258706467661692,\n\ \ \"acc_norm_stderr\": 0.026814951200421603\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.035887028128263686,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.035887028128263686\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4939759036144578,\n\ \ \"acc_stderr\": 0.03892212195333045,\n \"acc_norm\": 0.4939759036144578,\n\ \ \"acc_norm_stderr\": 0.03892212195333045\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3047735618115055,\n\ \ \"mc1_stderr\": 0.016114124156882455,\n \"mc2\": 0.4551491788416383,\n\ \ \"mc2_stderr\": 0.014826375266749701\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7308602999210734,\n \"acc_stderr\": 0.012464911951268736\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.11372251705837756,\n \ \ \"acc_stderr\": 0.008744810131034042\n }\n}\n```" repo_url: https://huggingface.co/chinoll/Yi-7b-dpo leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|arc:challenge|25_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-04T16-10-38.355372.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|gsm8k|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hellaswag|10_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-04T16-10-38.355372.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-management|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T16-10-38.355372.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|truthfulqa:mc|0_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-04T16-10-38.355372.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_04T16_10_38.355372 path: - '**/details_harness|winogrande|5_2023-12-04T16-10-38.355372.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-04T16-10-38.355372.parquet' - config_name: results data_files: - split: 2023_12_04T16_10_38.355372 path: - results_2023-12-04T16-10-38.355372.parquet - split: latest path: - results_2023-12-04T16-10-38.355372.parquet --- # Dataset Card for Evaluation run of chinoll/Yi-7b-dpo ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/chinoll/Yi-7b-dpo - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [chinoll/Yi-7b-dpo](https://huggingface.co/chinoll/Yi-7b-dpo) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_chinoll__Yi-7b-dpo", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-04T16:10:38.355372](https://huggingface.co/datasets/open-llm-leaderboard/details_chinoll__Yi-7b-dpo/blob/main/results_2023-12-04T16-10-38.355372.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": 0.6274780891690785, "acc_stderr": 0.03214198982171106, "acc_norm": 0.6382309545732996, "acc_norm_stderr": 0.03286487964348697, "mc1": 0.3047735618115055, "mc1_stderr": 0.016114124156882455, "mc2": 0.4551491788416383, "mc2_stderr": 0.014826375266749701 }, "harness|arc:challenge|25": { "acc": 0.39505119453924914, "acc_stderr": 0.014285898292938172, "acc_norm": 0.4308873720136519, "acc_norm_stderr": 0.014471133392642475 }, "harness|hellaswag|10": { "acc": 0.5570603465445131, "acc_stderr": 0.004957182635381807, "acc_norm": 0.7452698665604461, "acc_norm_stderr": 0.004348189459336535 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7105263157894737, "acc_stderr": 0.03690677986137282, "acc_norm": 0.7105263157894737, "acc_norm_stderr": 0.03690677986137282 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6943396226415094, "acc_stderr": 0.028353298073322666, "acc_norm": 0.6943396226415094, "acc_norm_stderr": 0.028353298073322666 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6527777777777778, "acc_stderr": 0.039812405437178615, "acc_norm": 0.6527777777777778, "acc_norm_stderr": 0.039812405437178615 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.36, "acc_stderr": 0.048241815132442176, "acc_norm": 0.36, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6647398843930635, "acc_stderr": 0.03599586301247077, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.03599586301247077 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.30392156862745096, "acc_stderr": 0.04576665403207762, "acc_norm": 0.30392156862745096, "acc_norm_stderr": 0.04576665403207762 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.77, "acc_stderr": 0.042295258468165065, "acc_norm": 0.77, "acc_norm_stderr": 0.042295258468165065 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6042553191489362, "acc_stderr": 0.03196758697835362, "acc_norm": 0.6042553191489362, "acc_norm_stderr": 0.03196758697835362 }, "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": 0.6137931034482759, "acc_stderr": 0.04057324734419035, "acc_norm": 0.6137931034482759, "acc_norm_stderr": 0.04057324734419035 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.47354497354497355, "acc_stderr": 0.02571523981134676, "acc_norm": 0.47354497354497355, "acc_norm_stderr": 0.02571523981134676 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3888888888888889, "acc_stderr": 0.04360314860077459, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.04360314860077459 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7774193548387097, "acc_stderr": 0.023664216671642518, "acc_norm": 0.7774193548387097, "acc_norm_stderr": 0.023664216671642518 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.49261083743842365, "acc_stderr": 0.03517603540361009, "acc_norm": 0.49261083743842365, "acc_norm_stderr": 0.03517603540361009 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7696969696969697, "acc_stderr": 0.0328766675860349, "acc_norm": 0.7696969696969697, "acc_norm_stderr": 0.0328766675860349 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8080808080808081, "acc_stderr": 0.028057791672989017, "acc_norm": 0.8080808080808081, "acc_norm_stderr": 0.028057791672989017 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8601036269430051, "acc_stderr": 0.02503387058301518, "acc_norm": 0.8601036269430051, "acc_norm_stderr": 0.02503387058301518 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6487179487179487, "acc_stderr": 0.024203665177902803, "acc_norm": 0.6487179487179487, "acc_norm_stderr": 0.024203665177902803 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.337037037037037, "acc_stderr": 0.028820884666253252, "acc_norm": 0.337037037037037, "acc_norm_stderr": 0.028820884666253252 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.7605042016806722, "acc_stderr": 0.027722065493361276, "acc_norm": 0.7605042016806722, "acc_norm_stderr": 0.027722065493361276 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3973509933774834, "acc_stderr": 0.0399552400768168, "acc_norm": 0.3973509933774834, "acc_norm_stderr": 0.0399552400768168 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8385321100917431, "acc_stderr": 0.01577623925616323, "acc_norm": 0.8385321100917431, "acc_norm_stderr": 0.01577623925616323 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5370370370370371, "acc_stderr": 0.03400603625538272, "acc_norm": 0.5370370370370371, "acc_norm_stderr": 0.03400603625538272 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7794117647058824, "acc_stderr": 0.02910225438967409, "acc_norm": 0.7794117647058824, "acc_norm_stderr": 0.02910225438967409 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7805907172995781, "acc_stderr": 0.026939106581553945, "acc_norm": 0.7805907172995781, "acc_norm_stderr": 0.026939106581553945 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6591928251121076, "acc_stderr": 0.0318114974705536, "acc_norm": 0.6591928251121076, "acc_norm_stderr": 0.0318114974705536 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7480916030534351, "acc_stderr": 0.03807387116306086, "acc_norm": 0.7480916030534351, "acc_norm_stderr": 0.03807387116306086 }, "harness|hendrycksTest-international_law|5": { "acc": 0.768595041322314, "acc_stderr": 0.03849856098794086, "acc_norm": 0.768595041322314, "acc_norm_stderr": 0.03849856098794086 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8055555555555556, "acc_stderr": 0.038260763248848646, "acc_norm": 0.8055555555555556, "acc_norm_stderr": 0.038260763248848646 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7791411042944786, "acc_stderr": 0.03259177392742179, "acc_norm": 0.7791411042944786, "acc_norm_stderr": 0.03259177392742179 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.39285714285714285, "acc_stderr": 0.04635550135609976, "acc_norm": 0.39285714285714285, "acc_norm_stderr": 0.04635550135609976 }, "harness|hendrycksTest-management|5": { "acc": 0.7961165048543689, "acc_stderr": 0.03989139859531771, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.03989139859531771 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8803418803418803, "acc_stderr": 0.02126271940040697, "acc_norm": 0.8803418803418803, "acc_norm_stderr": 0.02126271940040697 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.74, "acc_stderr": 0.04408440022768079, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768079 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8109833971902938, "acc_stderr": 0.014000791294407004, "acc_norm": 0.8109833971902938, "acc_norm_stderr": 0.014000791294407004 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7225433526011561, "acc_stderr": 0.024105712607754307, "acc_norm": 0.7225433526011561, "acc_norm_stderr": 0.024105712607754307 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.3854748603351955, "acc_stderr": 0.016277927039638193, "acc_norm": 0.3854748603351955, "acc_norm_stderr": 0.016277927039638193 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7287581699346405, "acc_stderr": 0.025457756696667878, "acc_norm": 0.7287581699346405, "acc_norm_stderr": 0.025457756696667878 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7331189710610932, "acc_stderr": 0.025122637608816657, "acc_norm": 0.7331189710610932, "acc_norm_stderr": 0.025122637608816657 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7191358024691358, "acc_stderr": 0.025006469755799208, "acc_norm": 0.7191358024691358, "acc_norm_stderr": 0.025006469755799208 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.46099290780141844, "acc_stderr": 0.029736592526424438, "acc_norm": 0.46099290780141844, "acc_norm_stderr": 0.029736592526424438 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.48565840938722293, "acc_stderr": 0.012764981829524265, "acc_norm": 0.48565840938722293, "acc_norm_stderr": 0.012764981829524265 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6470588235294118, "acc_stderr": 0.02902942281568139, "acc_norm": 0.6470588235294118, "acc_norm_stderr": 0.02902942281568139 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.673202614379085, "acc_stderr": 0.01897542792050721, "acc_norm": 0.673202614379085, "acc_norm_stderr": 0.01897542792050721 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7, "acc_stderr": 0.04389311454644287, "acc_norm": 0.7, "acc_norm_stderr": 0.04389311454644287 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7551020408163265, "acc_stderr": 0.02752963744017493, "acc_norm": 0.7551020408163265, "acc_norm_stderr": 0.02752963744017493 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8258706467661692, "acc_stderr": 0.026814951200421603, "acc_norm": 0.8258706467661692, "acc_norm_stderr": 0.026814951200421603 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.85, "acc_stderr": 0.035887028128263686, "acc_norm": 0.85, "acc_norm_stderr": 0.035887028128263686 }, "harness|hendrycksTest-virology|5": { "acc": 0.4939759036144578, "acc_stderr": 0.03892212195333045, "acc_norm": 0.4939759036144578, "acc_norm_stderr": 0.03892212195333045 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness|truthfulqa:mc|0": { "mc1": 0.3047735618115055, "mc1_stderr": 0.016114124156882455, "mc2": 0.4551491788416383, "mc2_stderr": 0.014826375266749701 }, "harness|winogrande|5": { "acc": 0.7308602999210734, "acc_stderr": 0.012464911951268736 }, "harness|gsm8k|5": { "acc": 0.11372251705837756, "acc_stderr": 0.008744810131034042 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]

open-llm-leaderboard/details_NLUHOPOE__test-case-6

--- pretty_name: Evaluation run of NLUHOPOE/test-case-6 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [NLUHOPOE/test-case-6](https://huggingface.co/NLUHOPOE/test-case-6) on the [Open\ \ LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_NLUHOPOE__test-case-6\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-01T01:53:21.380144](https://huggingface.co/datasets/open-llm-leaderboard/details_NLUHOPOE__test-case-6/blob/main/results_2024-03-01T01-53-21.380144.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\": 0.5803688532480622,\n\ \ \"acc_stderr\": 0.03360323649201099,\n \"acc_norm\": 0.5854412322412027,\n\ \ \"acc_norm_stderr\": 0.03430537577014263,\n \"mc1\": 0.3317013463892289,\n\ \ \"mc1_stderr\": 0.016482148810241473,\n \"mc2\": 0.49443365843236614,\n\ \ \"mc2_stderr\": 0.01529725057307427\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.523037542662116,\n \"acc_stderr\": 0.01459587320535827,\n\ \ \"acc_norm\": 0.5733788395904437,\n \"acc_norm_stderr\": 0.014453185592920293\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5995817566221868,\n\ \ \"acc_stderr\": 0.004889817489739686,\n \"acc_norm\": 0.7885879306910973,\n\ \ \"acc_norm_stderr\": 0.004074754687134535\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.045126085985421296,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.045126085985421296\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.042039210401562783,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.042039210401562783\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6447368421052632,\n \"acc_stderr\": 0.03894734487013316,\n\ \ \"acc_norm\": 0.6447368421052632,\n \"acc_norm_stderr\": 0.03894734487013316\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.56,\n\ \ \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n \ \ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6528301886792452,\n \"acc_stderr\": 0.029300101705549655,\n\ \ \"acc_norm\": 0.6528301886792452,\n \"acc_norm_stderr\": 0.029300101705549655\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6041666666666666,\n\ \ \"acc_stderr\": 0.04089465449325582,\n \"acc_norm\": 0.6041666666666666,\n\ \ \"acc_norm_stderr\": 0.04089465449325582\n },\n \"harness|hendrycksTest-college_chemistry|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_computer_science|5\": {\n \"acc\"\ : 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.48,\n\ \ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\ \ \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5953757225433526,\n\ \ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.5953757225433526,\n\ \ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.37254901960784315,\n \"acc_stderr\": 0.048108401480826346,\n\ \ \"acc_norm\": 0.37254901960784315,\n \"acc_norm_stderr\": 0.048108401480826346\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.67,\n \"acc_stderr\": 0.047258156262526066,\n \"acc_norm\": 0.67,\n\ \ \"acc_norm_stderr\": 0.047258156262526066\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.4765957446808511,\n \"acc_stderr\": 0.03265019475033582,\n\ \ \"acc_norm\": 0.4765957446808511,\n \"acc_norm_stderr\": 0.03265019475033582\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.38596491228070173,\n\ \ \"acc_stderr\": 0.04579639422070435,\n \"acc_norm\": 0.38596491228070173,\n\ \ \"acc_norm_stderr\": 0.04579639422070435\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482758,\n\ \ \"acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482758\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.36772486772486773,\n \"acc_stderr\": 0.024833839825562424,\n \"\ acc_norm\": 0.36772486772486773,\n \"acc_norm_stderr\": 0.024833839825562424\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.40476190476190477,\n\ \ \"acc_stderr\": 0.04390259265377562,\n \"acc_norm\": 0.40476190476190477,\n\ \ \"acc_norm_stderr\": 0.04390259265377562\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.6225806451612903,\n\ \ \"acc_stderr\": 0.027575960723278246,\n \"acc_norm\": 0.6225806451612903,\n\ \ \"acc_norm_stderr\": 0.027575960723278246\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.42857142857142855,\n \"acc_stderr\": 0.034819048444388045,\n\ \ \"acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.034819048444388045\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.59,\n \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\"\ : 0.59,\n \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7454545454545455,\n \"acc_stderr\": 0.03401506715249039,\n\ \ \"acc_norm\": 0.7454545454545455,\n \"acc_norm_stderr\": 0.03401506715249039\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7626262626262627,\n \"acc_stderr\": 0.030313710538198906,\n \"\ acc_norm\": 0.7626262626262627,\n \"acc_norm_stderr\": 0.030313710538198906\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.7979274611398963,\n \"acc_stderr\": 0.028979089794296732,\n\ \ \"acc_norm\": 0.7979274611398963,\n \"acc_norm_stderr\": 0.028979089794296732\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5846153846153846,\n \"acc_stderr\": 0.02498535492310234,\n \ \ \"acc_norm\": 0.5846153846153846,\n \"acc_norm_stderr\": 0.02498535492310234\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.337037037037037,\n \"acc_stderr\": 0.02882088466625326,\n \ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.02882088466625326\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\"\ : 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\ acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7761467889908257,\n \"acc_stderr\": 0.01787121776779024,\n \"\ acc_norm\": 0.7761467889908257,\n \"acc_norm_stderr\": 0.01787121776779024\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.48148148148148145,\n \"acc_stderr\": 0.03407632093854052,\n \"\ acc_norm\": 0.48148148148148145,\n \"acc_norm_stderr\": 0.03407632093854052\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.75,\n \"acc_stderr\": 0.03039153369274154,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.03039153369274154\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\ : {\n \"acc\": 0.7763713080168776,\n \"acc_stderr\": 0.027123298205229962,\n\ \ \"acc_norm\": 0.7763713080168776,\n \"acc_norm_stderr\": 0.027123298205229962\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6717557251908397,\n \"acc_stderr\": 0.04118438565806298,\n\ \ \"acc_norm\": 0.6717557251908397,\n \"acc_norm_stderr\": 0.04118438565806298\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7107438016528925,\n \"acc_stderr\": 0.041391127276354626,\n \"\ acc_norm\": 0.7107438016528925,\n \"acc_norm_stderr\": 0.041391127276354626\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7407407407407407,\n\ \ \"acc_stderr\": 0.04236511258094632,\n \"acc_norm\": 0.7407407407407407,\n\ \ \"acc_norm_stderr\": 0.04236511258094632\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.6932515337423313,\n \"acc_stderr\": 0.036230899157241474,\n\ \ \"acc_norm\": 0.6932515337423313,\n \"acc_norm_stderr\": 0.036230899157241474\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4732142857142857,\n\ \ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.4732142857142857,\n\ \ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8205128205128205,\n\ \ \"acc_stderr\": 0.02514093595033544,\n \"acc_norm\": 0.8205128205128205,\n\ \ \"acc_norm_stderr\": 0.02514093595033544\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.63,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7752234993614304,\n\ \ \"acc_stderr\": 0.014927447101937153,\n \"acc_norm\": 0.7752234993614304,\n\ \ \"acc_norm_stderr\": 0.014927447101937153\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6647398843930635,\n \"acc_stderr\": 0.025416003773165555,\n\ \ \"acc_norm\": 0.6647398843930635,\n \"acc_norm_stderr\": 0.025416003773165555\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24804469273743016,\n\ \ \"acc_stderr\": 0.014444157808261431,\n \"acc_norm\": 0.24804469273743016,\n\ \ \"acc_norm_stderr\": 0.014444157808261431\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6503267973856209,\n \"acc_stderr\": 0.027305308076274695,\n\ \ \"acc_norm\": 0.6503267973856209,\n \"acc_norm_stderr\": 0.027305308076274695\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6430868167202572,\n\ \ \"acc_stderr\": 0.027210420375934016,\n \"acc_norm\": 0.6430868167202572,\n\ \ \"acc_norm_stderr\": 0.027210420375934016\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6450617283950617,\n \"acc_stderr\": 0.02662415247884585,\n\ \ \"acc_norm\": 0.6450617283950617,\n \"acc_norm_stderr\": 0.02662415247884585\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.39361702127659576,\n \"acc_stderr\": 0.02914454478159613,\n \ \ \"acc_norm\": 0.39361702127659576,\n \"acc_norm_stderr\": 0.02914454478159613\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.41264667535853977,\n\ \ \"acc_stderr\": 0.012573836633799008,\n \"acc_norm\": 0.41264667535853977,\n\ \ \"acc_norm_stderr\": 0.012573836633799008\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5147058823529411,\n \"acc_stderr\": 0.03035969707904612,\n\ \ \"acc_norm\": 0.5147058823529411,\n \"acc_norm_stderr\": 0.03035969707904612\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.5784313725490197,\n \"acc_stderr\": 0.019977422600227477,\n \ \ \"acc_norm\": 0.5784313725490197,\n \"acc_norm_stderr\": 0.019977422600227477\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6454545454545455,\n\ \ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\ \ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.6040816326530613,\n \"acc_stderr\": 0.03130802899065686,\n\ \ \"acc_norm\": 0.6040816326530613,\n \"acc_norm_stderr\": 0.03130802899065686\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6666666666666666,\n\ \ \"acc_stderr\": 0.033333333333333354,\n \"acc_norm\": 0.6666666666666666,\n\ \ \"acc_norm_stderr\": 0.033333333333333354\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.8,\n \"acc_stderr\": 0.04020151261036846,\n \ \ \"acc_norm\": 0.8,\n \"acc_norm_stderr\": 0.04020151261036846\n },\n\ \ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5060240963855421,\n\ \ \"acc_stderr\": 0.03892212195333045,\n \"acc_norm\": 0.5060240963855421,\n\ \ \"acc_norm_stderr\": 0.03892212195333045\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7894736842105263,\n \"acc_stderr\": 0.031267817146631786,\n\ \ \"acc_norm\": 0.7894736842105263,\n \"acc_norm_stderr\": 0.031267817146631786\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3317013463892289,\n\ \ \"mc1_stderr\": 0.016482148810241473,\n \"mc2\": 0.49443365843236614,\n\ \ \"mc2_stderr\": 0.01529725057307427\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7687450670876085,\n \"acc_stderr\": 0.01185004012485051\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.33206974981046244,\n \ \ \"acc_stderr\": 0.012972465034361867\n }\n}\n```" repo_url: https://huggingface.co/NLUHOPOE/test-case-6 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|arc:challenge|25_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-01T01-53-21.380144.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|gsm8k|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hellaswag|10_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-01T01-53-21.380144.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-management|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-01T01-53-21.380144.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|truthfulqa:mc|0_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-01T01-53-21.380144.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_01T01_53_21.380144 path: - '**/details_harness|winogrande|5_2024-03-01T01-53-21.380144.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-01T01-53-21.380144.parquet' - config_name: results data_files: - split: 2024_03_01T01_53_21.380144 path: - results_2024-03-01T01-53-21.380144.parquet - split: latest path: - results_2024-03-01T01-53-21.380144.parquet --- # Dataset Card for Evaluation run of NLUHOPOE/test-case-6  Dataset automatically created during the evaluation run of model [NLUHOPOE/test-case-6](https://huggingface.co/NLUHOPOE/test-case-6) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_NLUHOPOE__test-case-6", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-01T01:53:21.380144](https://huggingface.co/datasets/open-llm-leaderboard/details_NLUHOPOE__test-case-6/blob/main/results_2024-03-01T01-53-21.380144.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": 0.5803688532480622, "acc_stderr": 0.03360323649201099, "acc_norm": 0.5854412322412027, "acc_norm_stderr": 0.03430537577014263, "mc1": 0.3317013463892289, "mc1_stderr": 0.016482148810241473, "mc2": 0.49443365843236614, "mc2_stderr": 0.01529725057307427 }, "harness|arc:challenge|25": { "acc": 0.523037542662116, "acc_stderr": 0.01459587320535827, "acc_norm": 0.5733788395904437, "acc_norm_stderr": 0.014453185592920293 }, "harness|hellaswag|10": { "acc": 0.5995817566221868, "acc_stderr": 0.004889817489739686, "acc_norm": 0.7885879306910973, "acc_norm_stderr": 0.004074754687134535 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.045126085985421296, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421296 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6148148148148148, "acc_stderr": 0.042039210401562783, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.042039210401562783 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6447368421052632, "acc_stderr": 0.03894734487013316, "acc_norm": 0.6447368421052632, "acc_norm_stderr": 0.03894734487013316 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6528301886792452, "acc_stderr": 0.029300101705549655, "acc_norm": 0.6528301886792452, "acc_norm_stderr": 0.029300101705549655 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6041666666666666, "acc_stderr": 0.04089465449325582, "acc_norm": 0.6041666666666666, "acc_norm_stderr": 0.04089465449325582 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5953757225433526, "acc_stderr": 0.03742461193887248, "acc_norm": 0.5953757225433526, "acc_norm_stderr": 0.03742461193887248 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.37254901960784315, "acc_stderr": 0.048108401480826346, "acc_norm": 0.37254901960784315, "acc_norm_stderr": 0.048108401480826346 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.67, "acc_stderr": 0.047258156262526066, "acc_norm": 0.67, "acc_norm_stderr": 0.047258156262526066 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4765957446808511, "acc_stderr": 0.03265019475033582, "acc_norm": 0.4765957446808511, "acc_norm_stderr": 0.03265019475033582 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.38596491228070173, "acc_stderr": 0.04579639422070435, "acc_norm": 0.38596491228070173, "acc_norm_stderr": 0.04579639422070435 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482758, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482758 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.36772486772486773, "acc_stderr": 0.024833839825562424, "acc_norm": 0.36772486772486773, "acc_norm_stderr": 0.024833839825562424 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.40476190476190477, "acc_stderr": 0.04390259265377562, "acc_norm": 0.40476190476190477, "acc_norm_stderr": 0.04390259265377562 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6225806451612903, "acc_stderr": 0.027575960723278246, "acc_norm": 0.6225806451612903, "acc_norm_stderr": 0.027575960723278246 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.42857142857142855, "acc_stderr": 0.034819048444388045, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.034819048444388045 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7454545454545455, "acc_stderr": 0.03401506715249039, "acc_norm": 0.7454545454545455, "acc_norm_stderr": 0.03401506715249039 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7626262626262627, "acc_stderr": 0.030313710538198906, "acc_norm": 0.7626262626262627, "acc_norm_stderr": 0.030313710538198906 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7979274611398963, "acc_stderr": 0.028979089794296732, "acc_norm": 0.7979274611398963, "acc_norm_stderr": 0.028979089794296732 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5846153846153846, "acc_stderr": 0.02498535492310234, "acc_norm": 0.5846153846153846, "acc_norm_stderr": 0.02498535492310234 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.337037037037037, "acc_stderr": 0.02882088466625326, "acc_norm": 0.337037037037037, "acc_norm_stderr": 0.02882088466625326 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6386554621848739, "acc_stderr": 0.03120469122515002, "acc_norm": 0.6386554621848739, "acc_norm_stderr": 0.03120469122515002 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3443708609271523, "acc_stderr": 0.038796870240733264, "acc_norm": 0.3443708609271523, "acc_norm_stderr": 0.038796870240733264 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7761467889908257, "acc_stderr": 0.01787121776779024, "acc_norm": 0.7761467889908257, "acc_norm_stderr": 0.01787121776779024 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.48148148148148145, "acc_stderr": 0.03407632093854052, "acc_norm": 0.48148148148148145, "acc_norm_stderr": 0.03407632093854052 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.75, "acc_stderr": 0.03039153369274154, "acc_norm": 0.75, "acc_norm_stderr": 0.03039153369274154 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7763713080168776, "acc_stderr": 0.027123298205229962, "acc_norm": 0.7763713080168776, "acc_norm_stderr": 0.027123298205229962 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6717557251908397, "acc_stderr": 0.04118438565806298, "acc_norm": 0.6717557251908397, "acc_norm_stderr": 0.04118438565806298 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7107438016528925, "acc_stderr": 0.041391127276354626, "acc_norm": 0.7107438016528925, "acc_norm_stderr": 0.041391127276354626 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7407407407407407, "acc_stderr": 0.04236511258094632, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.04236511258094632 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.6932515337423313, "acc_stderr": 0.036230899157241474, "acc_norm": 0.6932515337423313, "acc_norm_stderr": 0.036230899157241474 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4732142857142857, "acc_stderr": 0.047389751192741546, "acc_norm": 0.4732142857142857, "acc_norm_stderr": 0.047389751192741546 }, "harness|hendrycksTest-management|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8205128205128205, "acc_stderr": 0.02514093595033544, "acc_norm": 0.8205128205128205, "acc_norm_stderr": 0.02514093595033544 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7752234993614304, "acc_stderr": 0.014927447101937153, "acc_norm": 0.7752234993614304, "acc_norm_stderr": 0.014927447101937153 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6647398843930635, "acc_stderr": 0.025416003773165555, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.025416003773165555 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.24804469273743016, "acc_stderr": 0.014444157808261431, "acc_norm": 0.24804469273743016, "acc_norm_stderr": 0.014444157808261431 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6503267973856209, "acc_stderr": 0.027305308076274695, "acc_norm": 0.6503267973856209, "acc_norm_stderr": 0.027305308076274695 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6430868167202572, "acc_stderr": 0.027210420375934016, "acc_norm": 0.6430868167202572, "acc_norm_stderr": 0.027210420375934016 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6450617283950617, "acc_stderr": 0.02662415247884585, "acc_norm": 0.6450617283950617, "acc_norm_stderr": 0.02662415247884585 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.39361702127659576, "acc_stderr": 0.02914454478159613, "acc_norm": 0.39361702127659576, "acc_norm_stderr": 0.02914454478159613 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.41264667535853977, "acc_stderr": 0.012573836633799008, "acc_norm": 0.41264667535853977, "acc_norm_stderr": 0.012573836633799008 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5147058823529411, "acc_stderr": 0.03035969707904612, "acc_norm": 0.5147058823529411, "acc_norm_stderr": 0.03035969707904612 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.5784313725490197, "acc_stderr": 0.019977422600227477, "acc_norm": 0.5784313725490197, "acc_norm_stderr": 0.019977422600227477 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6454545454545455, "acc_stderr": 0.045820048415054174, "acc_norm": 0.6454545454545455, "acc_norm_stderr": 0.045820048415054174 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.6040816326530613, "acc_stderr": 0.03130802899065686, "acc_norm": 0.6040816326530613, "acc_norm_stderr": 0.03130802899065686 }, "harness|hendrycksTest-sociology|5": { "acc": 0.6666666666666666, "acc_stderr": 0.033333333333333354, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.033333333333333354 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.8, "acc_stderr": 0.04020151261036846, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-virology|5": { "acc": 0.5060240963855421, "acc_stderr": 0.03892212195333045, "acc_norm": 0.5060240963855421, "acc_norm_stderr": 0.03892212195333045 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.7894736842105263, "acc_stderr": 0.031267817146631786, "acc_norm": 0.7894736842105263, "acc_norm_stderr": 0.031267817146631786 }, "harness|truthfulqa:mc|0": { "mc1": 0.3317013463892289, "mc1_stderr": 0.016482148810241473, "mc2": 0.49443365843236614, "mc2_stderr": 0.01529725057307427 }, "harness|winogrande|5": { "acc": 0.7687450670876085, "acc_stderr": 0.01185004012485051 }, "harness|gsm8k|5": { "acc": 0.33206974981046244, "acc_stderr": 0.012972465034361867 } } ``` ## Dataset Details ### Dataset Description  - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

SuryaKrishna02/aya-telugu-food-recipes

--- annotations_creators: - expert-generated language: - te language_creators: - expert-generated license: - apache-2.0 multilinguality: - monolingual pretty_name: Telugu Food Recipes size_categories: - n<1K source_datasets: - original tags: - food - recipes task_categories: - text-generation task_ids: - language-modeling --- # Summary `aya-telugu-food-recipes` is an open source dataset of instruct-style records generated by webscraping a Telugu food recipes website. This was created as part of [Aya Open Science Initiative](https://sites.google.com/cohere.com/aya-en/home) from Cohere For AI. This dataset can be used for any purpose, whether academic or commercial, under the terms of the [Apache 2.0](https://opensource.org/license/apache-2-0) License. Supported Tasks: - Training LLMs - Synthetic Data Generation - Data Augmentation Languages: Telugu Version: 1.0 # Dataset Overview `aya-telugu-food-recipes` is a corpus of more than 400 records generated by webscraping of the Telugu Food Recipes Website. This Dataset can be used for the following task: - Given the name of the food item, generates the detailed recipe along with the ingredients. # Intended Uses While immediately valuable for instruction fine tuning large language models, as a corpus of instruction prompts, this dataset also presents a valuable opportunity for synthetic data generation in the methods. For example, prompt-completions could be submitted as few-shot examples to a large open language model to generate additional food recipes. # Dataset ## Load with Datasets To load this dataset with Datasets, you'll just need to install Datasets as `pip install datasets --upgrade` and then use the following code: ```python from datasets import load_dataset ds = load_dataset('SuryaKrishna02/aya-telugu-food-recipes') ``` ## Purpose of Collection Telugu is a low-resource language where there no food recipes instruct-style dataset to the best of my knowledge. This was created as a part of [Aya Open Science Initiative](https://sites.google.com/cohere.com/aya-en/home) from Cohere For AI to make sure Telugu is well represented in the space of AI/ML. Unlike other datasets that are limited to non-commercial use, this dataset can be used, modified, and extended for any purpose, including academic or commercial applications. ## Sources - **Andhrajyothi Website**: Performed webscraping from [Andhrajyothi Website](https://www.andhrajyothy.com/vantalu) which is a famous telugu website consisting of food recipes in the following categories: 1. తీపి వంటలు 2. పచ్చళ్లు 3. శాకాహారం 4. మాంసాహారం - Next, performed some pre-processing of the data like removing unwanted characters, extracting ingredients and cooking instructions seperately from the scraped data. Finally, converted the scraped data into Instruct-style prompts and completions. ## Data Fields - `inputs` : Prompt or input to the language model. - `targets` : Completion or output of the language model. - `template_id` : Id of the template used in `inputs` and `targets`. - `template_lang`: ISO code of the language used in the `inputs` and `targets` where *tel* refers to Telugu. ## Templates For the creation of instruct-style prompts and completions from the scraped data, the following one template category with 7 different templates were used: 1. Given the name of the food item, generates the detailed recipe along with the ingredients. | template_id | inputs | targets | |-------------|--------|---------| | 1 | ```{{Food Item}} ఎలా తయారు చేస్తారో క్లుప్తంగా ఇవ్వండి.``` | ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` | | 2 | ```మీరు {{Food Item}} తయారు చెయ్యడానికి ఎటువంటి తిండి పదార్ధాలు వాడుతురు మరియు ఏ విధముగా చేస్తారో వివరణ ఇవ్వండి.``` | ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` | | 3 | ```నేను {{Food Item}} చాలా రుచికరంగా ఉంటుంది అని విన్నాను. నాకు ఇది ఎలా చెయ్యాలో సంక్లిప్తంగా చెప్పు.``` | ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` | | 4 | ```మొదటిసారి వంట చేసేవారికి చెప్పినట్టు నాకు {{Food Item}} ఎలా చెయ్యాలొ చెప్పు``` | ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` | | 5 | ```{{Food Item}} ఎలా చేయాలి? సమాధానం లో కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఉండాలి.``` | ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` | | 6 | ```{{Food Item}} ఎలా తయారు చేస్తాం?``` | ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` | | 7 | ```{{Food Item}} రెసిపీ ఏంటి?``` | ```{{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది.\nకావలసిన పదార్థాలు:\n{{Ingredients}}\n\nతయారుచేసే విధానం:\n{{Cooking Instructions}}``` | ## Personal or Sensitive Data This dataset contains public information. To our knowledge, there are no private person’s personal identifiers or sensitive information. ## Language Telugu # Known Limitations - The Dataset is scraped from the food recipes website and the contents of this dataset may reflect the bias. - Although there is utmost care taken to keep the dataset as monolingual, there might be some records that may contain English Language along with Telugu. # Contributors [SuryaKrishna02](https://github.com/SuryaKrishna02) and [Desik98](https://github.com/desik1998)

joey234/mmlu-human_sexuality-verbal-neg-prepend

--- dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: neg_prompt dtype: string splits: - name: test num_bytes: 49813 num_examples: 131 download_size: 34784 dataset_size: 49813 --- # Dataset Card for "mmlu-human_sexuality-verbal-neg-prepend" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Salesforce/cloudops_tsf

--- license: cc-by-4.0 task_categories: - time-series-forecasting pretty_name: cloud size_categories: - 100M<n<1B --- # Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain [Paper](https://arxiv.org/abs/2310.05063) | [Code](https://github.com/SalesforceAIResearch/pretrain-time-series-cloudops) Datasets accompanying the paper "Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain". ## Quick Start ### azure_vm_traces_2017 ```python from datasets import load_dataset dataset = load_dataset('Salesforce/cloudops_tsf', 'azure_vm_traces_2017') print(dataset) DatasetDict({ train_test: Dataset({ features: ['start', 'target', 'item_id', 'feat_static_cat', 'feat_static_real', 'past_feat_dynamic_real'], num_rows: 17568 }) pretrain: Dataset({ features: ['start', 'target', 'item_id', 'feat_static_cat', 'feat_static_real', 'past_feat_dynamic_real'], num_rows: 159472 }) }) ``` ### borg_cluster_data_2011 ```python dataset = load_dataset('Salesforce/cloudops_tsf', 'borg_cluster_data_2011') print(dataset) DatasetDict({ train_test: Dataset({ features: ['start', 'target', 'item_id', 'feat_static_cat', 'past_feat_dynamic_real'], num_rows: 11117 }) pretrain: Dataset({ features: ['start', 'target', 'item_id', 'feat_static_cat', 'past_feat_dynamic_real'], num_rows: 143386 }) }) ``` ### alibaba_cluster_trace_2018 ```python dataset = load_dataset('Salesforce/cloudops_tsf', 'alibaba_cluster_trace_2018') print(dataset) DatasetDict({ train_test: Dataset({ features: ['start', 'target', 'item_id', 'feat_static_cat', 'past_feat_dynamic_real'], num_rows: 6048 }) pretrain: Dataset({ features: ['start', 'target', 'item_id', 'feat_static_cat', 'past_feat_dynamic_real'], num_rows: 58409 }) }) ``` ## Dataset Config ```python from datasets import load_dataset_builder config = load_dataset_builder('Salesforce/cloudops_tsf', 'azure_vm_traces_2017').config print(config) CloudOpsTSFConfig( name='azure_vm_traces_2017', version=1.0.0, data_dir=None, data_files=None, description='', prediction_length=48, freq='5T', stride=48, univariate=True, multivariate=False, optional_fields=( 'feat_static_cat', 'feat_static_real', 'past_feat_dynamic_real' ), rolling_evaluations=12, test_split_date=Period('2016-12-13 15:55', '5T'), _feat_static_cat_cardinalities={ 'pretrain': ( ('vm_id', 177040), ('subscription_id', 5514), ('deployment_id', 15208), ('vm_category', 3) ), 'train_test': ( ('vm_id', 17568), ('subscription_id', 2713), ('deployment_id', 3255), ('vm_category', 3) ) }, target_dim=1, feat_static_real_dim=3, past_feat_dynamic_real_dim=2 ) ``` ```test_split_date``` is provided to achieve the same train-test split as given in the paper. This is essentially the date/time of ```rolling_evaluations * prediction_length``` time steps before the last time step in the dataset. Note that the pre-training dataset includes the test region, and thus should also be filtered before usage. ## Acknowledgements The datasets were processed from the following original sources. Please cite the original sources if you use the datasets. * Azure VM Traces 2017 * Bianchini. Resource central: Understanding and predicting workloads for improved resource management in large cloud platforms. In Proceedings of the 26th Symposium on Operating Systems Principles, pp. 153–167, 2017. * https://github.com/Azure/AzurePublicDataset * Borg Cluster Data 2011 * John Wilkes. More Google cluster data. Google research blog, November 2011. Posted at http://googleresearch.blogspot.com/2011/11/more-google-cluster-data.html. * https://github.com/google/cluster-data * Alibaba Cluster Trace 2018 * Jing Guo, Zihao Chang, Sa Wang, Haiyang Ding, Yihui Feng, Liang Mao, and Yungang Bao. Who limits the resource efficiency of my datacenter: An analysis of alibaba datacenter traces. In Proceedings of the International Symposium on Quality of Service, pp. 1–10, 2019. * https://github.com/alibaba/clusterdata ## Citation <pre> @article{woo2023pushing, title={Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain}, author={Woo, Gerald and Liu, Chenghao and Kumar, Akshat and Sahoo, Doyen}, journal={arXiv preprint arXiv:2310.05063}, year={2023} } </pre>

Xiao215/pixiv-image-with-caption

--- title: "Pixiv Daily Trending Illusions Dataset" language: - "en" license: - "unknown" # Since the exact terms for redistributed scraped content are unclear multilinguality: - "monolingual" size_categories: - "100<n<1K" # This dataset contains 949 images source_datasets: - "extended|other-Pixiv" # Indicating that this dataset extends from or is based on Pixiv task_categories: - "image-to-text" - "text-to-image" task_ids: - "image-captioning" annotations_creators: - "machine-generated" --- # Dataset Card for Pixiv Daily Trending Illusions Dataset Note, this dataset contains copyright issue, and is displayed for fun personal project only. Do not use it. ## Table of Contents - [Dataset Description](#dataset-description) - [Access](#access) - [Dataset Structure](#dataset-structure) - [Usage](#usage) - [Acknowledgements](#acknowledgements) - [Licensing](#licensing) ## Dataset Description - **Homepage:** [Pixiv Daily Trending Illusions](https://www.pixiv.net/discovery?mode=safe) - **Repository:** [HuggingFace Dataset](https://huggingface.co/datasets/Xiao215/pixiv-image-with-caption) - **Paper:** N/A - **Leaderboard:** N/A ### Dataset Summary This dataset comprises 949 images scrapped from Pixiv's daily trend, specifically curated to include only illustrations that are illusions and suitable for all ages. Each image in the dataset is accompanied by a caption generated by the LLaVa model, providing a descriptive or interpretive text element for the visual content. ### Languages Captions are generated in [Language(s)], as processed by the LLaVa model on HuggingFace. ## Access The dataset can be accessed through the HuggingFace `datasets` library using the following code snippet: ```python from datasets import load_dataset dataset = load_dataset("Xiao215/pixiv-image-with-caption") ``` ## Dataset Structure ### Data Instances A data instance in this dataset comprises the following fields: - `image_name`: a `string` representing the filename of the image, following the pattern `pixiv{image_id}.png`. - `caption`: a `string` generated by the LLaVa model, describing or interpreting the image. Example: ```python { "image_name": "pixiv100028371.png", "caption": "A mesmerizing pattern that appears to swirl endlessly." } ``` ### Data Splits This dataset is provided in a single split: - The `all` split contains all 949 images and their corresponding captions. ## Usage This dataset can be used for tasks such as image captioning, visual understanding, and training models to generate descriptive texts for abstract visual content. Here's an example of how to load and use the dataset: from datasets import load_dataset # Example usage ```python from datasets import load_dataset dataset = load_dataset("Xiao215/pixiv-image-with-caption") for sample in dataset['all']: print(sample['image_name'], sample['caption']) ``` ## Usage with cache ```python from datasets import load_dataset # Specify the path where you want to cache the dataset cache_dir = "/path/to/your/desired/cache/directory" # Load the dataset and specify the cache directory dataset = load_dataset("Xiao215/pixiv-image-with-caption", cache_dir=cache_dir) ``` ## Acknowledgements This dataset was collected from [Pixiv](https://www.pixiv.net/discovery?mode=safe), with captions generated by the [LLaVa model](https://huggingface.co/docs/transformers/en/model_doc/llava) on HuggingFace. ## Licensing Please review Pixiv's terms of use and licensing information to ensure compliance when using this dataset. The use of the LLaVa model for generating captions is subject to the terms and conditions provided by HuggingFace and the model's authors.

open-llm-leaderboard/details_jondurbin__airocoder-34b-2.1

--- pretty_name: Evaluation run of jondurbin/airocoder-34b-2.1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [jondurbin/airocoder-34b-2.1](https://huggingface.co/jondurbin/airocoder-34b-2.1)\ \ 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_jondurbin__airocoder-34b-2.1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-28T17:47:22.739718](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__airocoder-34b-2.1/blob/main/results_2023-10-28T17-47-22.739718.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\": 0.31669463087248323,\n\ \ \"em_stderr\": 0.004763952451764173,\n \"f1\": 0.3681816275167802,\n\ \ \"f1_stderr\": 0.0047033328815527095,\n \"acc\": 0.3913430865625522,\n\ \ \"acc_stderr\": 0.010251830385905714\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.31669463087248323,\n \"em_stderr\": 0.004763952451764173,\n\ \ \"f1\": 0.3681816275167802,\n \"f1_stderr\": 0.0047033328815527095\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.08339651250947688,\n \ \ \"acc_stderr\": 0.007615650277106696\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.6992896606156275,\n \"acc_stderr\": 0.01288801049470473\n\ \ }\n}\n```" repo_url: https://huggingface.co/jondurbin/airocoder-34b-2.1 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|arc:challenge|25_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-09-11T21-47-37.298626.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_28T17_47_22.739718 path: - '**/details_harness|drop|3_2023-10-28T17-47-22.739718.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-28T17-47-22.739718.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_28T17_47_22.739718 path: - '**/details_harness|gsm8k|5_2023-10-28T17-47-22.739718.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-28T17-47-22.739718.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hellaswag|10_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-11T21-47-37.298626.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-management|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-virology|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-11T21-47-37.298626.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_11T21_47_37.298626 path: - '**/details_harness|truthfulqa:mc|0_2023-09-11T21-47-37.298626.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-09-11T21-47-37.298626.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_28T17_47_22.739718 path: - '**/details_harness|winogrande|5_2023-10-28T17-47-22.739718.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-28T17-47-22.739718.parquet' - config_name: results data_files: - split: 2023_09_11T21_47_37.298626 path: - results_2023-09-11T21-47-37.298626.parquet - split: 2023_10_28T17_47_22.739718 path: - results_2023-10-28T17-47-22.739718.parquet - split: latest path: - results_2023-10-28T17-47-22.739718.parquet --- # Dataset Card for Evaluation run of jondurbin/airocoder-34b-2.1 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/jondurbin/airocoder-34b-2.1 - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [jondurbin/airocoder-34b-2.1](https://huggingface.co/jondurbin/airocoder-34b-2.1) 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_jondurbin__airocoder-34b-2.1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-28T17:47:22.739718](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__airocoder-34b-2.1/blob/main/results_2023-10-28T17-47-22.739718.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": 0.31669463087248323, "em_stderr": 0.004763952451764173, "f1": 0.3681816275167802, "f1_stderr": 0.0047033328815527095, "acc": 0.3913430865625522, "acc_stderr": 0.010251830385905714 }, "harness|drop|3": { "em": 0.31669463087248323, "em_stderr": 0.004763952451764173, "f1": 0.3681816275167802, "f1_stderr": 0.0047033328815527095 }, "harness|gsm8k|5": { "acc": 0.08339651250947688, "acc_stderr": 0.007615650277106696 }, "harness|winogrande|5": { "acc": 0.6992896606156275, "acc_stderr": 0.01288801049470473 } } ``` ### 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]

foji111/zakirkhan

--- license: afl-3.0 ---

james-burton/fake_job_postings2_all_text

--- dataset_info: features: - name: title dtype: string - name: salary_range dtype: string - name: description dtype: string - name: required_experience dtype: string - name: required_education dtype: string - name: fraudulent dtype: int64 splits: - name: train num_bytes: 14698550 num_examples: 10816 - name: validation num_bytes: 2500568 num_examples: 1909 - name: test num_bytes: 4379198 num_examples: 3182 download_size: 0 dataset_size: 21578316 --- # Dataset Card for "fake_job_postings2_all_text" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

lucapantea/fact-ai

--- license: mit ---

ChanceFocus/flare-es-instruction-tuning

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* dataset_info: features: - name: id dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 41354500 num_examples: 14851 - name: valid num_bytes: 6718150 num_examples: 2226 download_size: 23259291 dataset_size: 48072650 --- # Dataset Card for "flare-es-instruction-tuning" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

mask-distilled-one-sec-cv12/chunk_185

--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 742922800 num_examples: 145900 download_size: 756705575 dataset_size: 742922800 --- # Dataset Card for "chunk_185" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

hbamoba/openassistant-guanaco-mistral

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 15736333 num_examples: 9846 download_size: 9174838 dataset_size: 15736333 configs: - config_name: default data_files: - split: train path: data/train-* license: apache-2.0 --- This dataset is a modified version of the openassistant-guanaco dataset [1], which is a subset of the Open Assistant dataset [2] References * [1] https://huggingface.co/datasets/timdettmers/openassistant-guanaco * [2] https://huggingface.co/datasets/OpenAssistant/oasst1/tree/main * [3] https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1 The openassistant-guanaco dataset subset of the data only contains the highest-rated paths in the conversation tree from the Open Assistant dataset, with a total of 9,846 samples. This dataset is processed to match Mistral-7B-Instruct-v0.1's prompt format as described in [3] For further information, please see the original dataset. License: Apache 2.0 --- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 15736333 num_examples: 9846 download_size: 9174838 dataset_size: 15736333 configs: - config_name: default data_files: - split: train path: data/train-* ---

Asimok/KGLQA-LangChain-RACE

--- license: apache-2.0 ---

HusnaManakkot/haispider

--- license: cc-by-4.0 task_categories: - text2text-generation language: - en tags: - text-to-sql pretty_name: new spider data updated size_categories: - 1K<n<10K --- # Dataset Card for Spider Table of Contents Dataset Description Dataset Summary Supported Tasks and Leaderboards Languages Dataset Structure Data Instances Data Fields Data Splits Dataset Creation Curation Rationale Source Data Annotations Personal and Sensitive Information Considerations for Using the Data Social Impact of Dataset Discussion of Biases Other Known Limitations Additional Information Dataset Curators Licensing Information Citation Information Contributions Dataset Description Homepage: https://yale-lily.github.io/spider Repository: https://github.com/taoyds/spider Paper: https://www.aclweb.org/anthology/D18-1425/ Point of Contact: Yale LILY Dataset Summary Spider is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases Supported Tasks and Leaderboards The leaderboard can be seen at https://yale-lily.github.io/spider Languages The text in the dataset is in English. Dataset Structure Data Instances What do the instances that comprise the dataset represent? Each instance is natural language question and the equivalent SQL query How many instances are there in total? What data does each instance consist of? [More Information Needed] Data Fields db_id: Database name question: Natural language to interpret into SQL query: Target SQL query query_toks: List of tokens for the query query_toks_no_value: List of tokens for the query question_toks: List of tokens for the question Data Splits train: 7000 questions and SQL query pairs dev: 1034 question and SQL query pairs [More Information Needed] Dataset Creation Curation Rationale [More Information Needed] Source Data Initial Data Collection and Normalization Who are the source language producers? [More Information Needed] Annotations The dataset was annotated by 11 college students at Yale University Annotation process Who are the annotators? Personal and Sensitive Information [More Information Needed] Considerations for Using the Data Social Impact of Dataset Discussion of Biases [More Information Needed] Other Known Limitations Additional Information The listed authors in the homepage are maintaining/supporting the dataset. Dataset Curators [More Information Needed] Licensing Information The spider dataset is licensed under the CC BY-SA 4.0 [More Information Needed] Citation Information @article{yu2018spider, title={Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task}, author={Yu, Tao and Zhang, Rui and Yang, Kai and Yasunaga, Michihiro and Wang, Dongxu and Li, Zifan and Ma, James and Li, Irene and Yao, Qingning and Roman, Shanelle and others}, journal={arXiv preprint arXiv:1809.08887}, year={2018} }

hennyferreira/hennyferreiravoice

--- license: openrail ---

kamilakesbi/ami_spd_augmented_test2

--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: speakers sequence: string - name: timestamps_start sequence: float64 - name: timestamps_end sequence: float64 splits: - name: train num_bytes: 8978099075.0 num_examples: 4120 - name: validation num_bytes: 978997266.0 num_examples: 459 - name: test num_bytes: 933737868.0 num_examples: 432 download_size: 10482379450 dataset_size: 10890834209.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---