open-llm-leaderboard/details_ResplendentAI__Obscura_32k_7B

--- pretty_name: Evaluation run of ResplendentAI/Obscura_32k_7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ResplendentAI/Obscura_32k_7B](https://huggingface.co/ResplendentAI/Obscura_32k_7B)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_ResplendentAI__Obscura_32k_7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-25T10:06:48.746238](https://huggingface.co/datasets/open-llm-leaderboard/details_ResplendentAI__Obscura_32k_7B/blob/main/results_2024-03-25T10-06-48.746238.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\": 0.4919542952361311,\n\ \ \"acc_stderr\": 0.03443351127455121,\n \"acc_norm\": 0.49720218567568364,\n\ \ \"acc_norm_stderr\": 0.035190783488779874,\n \"mc1\": 0.47613219094247244,\n\ \ \"mc1_stderr\": 0.017483547156961574,\n \"mc2\": 0.6303117698117346,\n\ \ \"mc2_stderr\": 0.016087485552401973\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5307167235494881,\n \"acc_stderr\": 0.014583792546304038,\n\ \ \"acc_norm\": 0.552901023890785,\n \"acc_norm_stderr\": 0.014529380160526848\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6130252937661821,\n\ \ \"acc_stderr\": 0.004860623733461129,\n \"acc_norm\": 0.7800238996215894,\n\ \ \"acc_norm_stderr\": 0.004133835786651177\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.45185185185185184,\n\ \ \"acc_stderr\": 0.04299268905480864,\n \"acc_norm\": 0.45185185185185184,\n\ \ \"acc_norm_stderr\": 0.04299268905480864\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.46710526315789475,\n \"acc_stderr\": 0.040601270352363966,\n\ \ \"acc_norm\": 0.46710526315789475,\n \"acc_norm_stderr\": 0.040601270352363966\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.53,\n\ \ \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\": 0.53,\n \ \ \"acc_norm_stderr\": 0.05016135580465919\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.5358490566037736,\n \"acc_stderr\": 0.030693675018458006,\n\ \ \"acc_norm\": 0.5358490566037736,\n \"acc_norm_stderr\": 0.030693675018458006\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.4652777777777778,\n\ \ \"acc_stderr\": 0.04171115858181618,\n \"acc_norm\": 0.4652777777777778,\n\ \ \"acc_norm_stderr\": 0.04171115858181618\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \ \ },\n \"harness|hendrycksTest-college_computer_science|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_mathematics|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4913294797687861,\n\ \ \"acc_stderr\": 0.03811890988940413,\n \"acc_norm\": 0.4913294797687861,\n\ \ \"acc_norm_stderr\": 0.03811890988940413\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.2549019607843137,\n \"acc_stderr\": 0.0433643270799318,\n\ \ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.0433643270799318\n\ \ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\ : {\n \"acc\": 0.37872340425531914,\n \"acc_stderr\": 0.03170995606040655,\n\ \ \"acc_norm\": 0.37872340425531914,\n \"acc_norm_stderr\": 0.03170995606040655\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3508771929824561,\n\ \ \"acc_stderr\": 0.044895393502707,\n \"acc_norm\": 0.3508771929824561,\n\ \ \"acc_norm_stderr\": 0.044895393502707\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.04164188720169375,\n\ \ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.04164188720169375\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3835978835978836,\n \"acc_stderr\": 0.0250437573185202,\n \"acc_norm\"\ : 0.3835978835978836,\n \"acc_norm_stderr\": 0.0250437573185202\n },\n\ \ \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3412698412698413,\n\ \ \"acc_stderr\": 0.04240799327574924,\n \"acc_norm\": 0.3412698412698413,\n\ \ \"acc_norm_stderr\": 0.04240799327574924\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.046482319871173156,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.046482319871173156\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.5580645161290323,\n \"acc_stderr\": 0.02825155790684974,\n \"\ acc_norm\": 0.5580645161290323,\n \"acc_norm_stderr\": 0.02825155790684974\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.3645320197044335,\n \"acc_stderr\": 0.0338640574606209,\n \"acc_norm\"\ : 0.3645320197044335,\n \"acc_norm_stderr\": 0.0338640574606209\n },\n\ \ \"harness|hendrycksTest-high_school_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-high_school_european_history|5\"\ : {\n \"acc\": 0.6060606060606061,\n \"acc_stderr\": 0.0381549430868893,\n\ \ \"acc_norm\": 0.6060606060606061,\n \"acc_norm_stderr\": 0.0381549430868893\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.6313131313131313,\n \"acc_stderr\": 0.034373055019806184,\n \"\ acc_norm\": 0.6313131313131313,\n \"acc_norm_stderr\": 0.034373055019806184\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.7357512953367875,\n \"acc_stderr\": 0.031821550509166456,\n\ \ \"acc_norm\": 0.7357512953367875,\n \"acc_norm_stderr\": 0.031821550509166456\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.4307692307692308,\n \"acc_stderr\": 0.02510682066053975,\n \ \ \"acc_norm\": 0.4307692307692308,\n \"acc_norm_stderr\": 0.02510682066053975\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.26666666666666666,\n \"acc_stderr\": 0.026962424325073824,\n \ \ \"acc_norm\": 0.26666666666666666,\n \"acc_norm_stderr\": 0.026962424325073824\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.46218487394957986,\n \"acc_stderr\": 0.0323854694875898,\n \ \ \"acc_norm\": 0.46218487394957986,\n \"acc_norm_stderr\": 0.0323854694875898\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.31788079470198677,\n \"acc_stderr\": 0.038020397601079024,\n \"\ acc_norm\": 0.31788079470198677,\n \"acc_norm_stderr\": 0.038020397601079024\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.6036697247706422,\n \"acc_stderr\": 0.020971469947900532,\n \"\ acc_norm\": 0.6036697247706422,\n \"acc_norm_stderr\": 0.020971469947900532\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.30092592592592593,\n \"acc_stderr\": 0.03128039084329881,\n \"\ acc_norm\": 0.30092592592592593,\n \"acc_norm_stderr\": 0.03128039084329881\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.6225490196078431,\n \"acc_stderr\": 0.03402272044340703,\n \"\ acc_norm\": 0.6225490196078431,\n \"acc_norm_stderr\": 0.03402272044340703\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.6413502109704642,\n \"acc_stderr\": 0.03121956944530184,\n \ \ \"acc_norm\": 0.6413502109704642,\n \"acc_norm_stderr\": 0.03121956944530184\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6098654708520179,\n\ \ \"acc_stderr\": 0.03273766725459156,\n \"acc_norm\": 0.6098654708520179,\n\ \ \"acc_norm_stderr\": 0.03273766725459156\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.46564885496183206,\n \"acc_stderr\": 0.04374928560599738,\n\ \ \"acc_norm\": 0.46564885496183206,\n \"acc_norm_stderr\": 0.04374928560599738\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.6611570247933884,\n \"acc_stderr\": 0.04320767807536671,\n \"\ acc_norm\": 0.6611570247933884,\n \"acc_norm_stderr\": 0.04320767807536671\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5925925925925926,\n\ \ \"acc_stderr\": 0.04750077341199984,\n \"acc_norm\": 0.5925925925925926,\n\ \ \"acc_norm_stderr\": 0.04750077341199984\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.5766871165644172,\n \"acc_stderr\": 0.03881891213334383,\n\ \ \"acc_norm\": 0.5766871165644172,\n \"acc_norm_stderr\": 0.03881891213334383\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.36607142857142855,\n\ \ \"acc_stderr\": 0.04572372358737431,\n \"acc_norm\": 0.36607142857142855,\n\ \ \"acc_norm_stderr\": 0.04572372358737431\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.6504854368932039,\n \"acc_stderr\": 0.04721188506097173,\n\ \ \"acc_norm\": 0.6504854368932039,\n \"acc_norm_stderr\": 0.04721188506097173\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7564102564102564,\n\ \ \"acc_stderr\": 0.028120966503914414,\n \"acc_norm\": 0.7564102564102564,\n\ \ \"acc_norm_stderr\": 0.028120966503914414\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.6679438058748404,\n\ \ \"acc_stderr\": 0.01684117465529572,\n \"acc_norm\": 0.6679438058748404,\n\ \ \"acc_norm_stderr\": 0.01684117465529572\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.5606936416184971,\n \"acc_stderr\": 0.026720034380514995,\n\ \ \"acc_norm\": 0.5606936416184971,\n \"acc_norm_stderr\": 0.026720034380514995\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.25139664804469275,\n\ \ \"acc_stderr\": 0.01450897945355398,\n \"acc_norm\": 0.25139664804469275,\n\ \ \"acc_norm_stderr\": 0.01450897945355398\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.4869281045751634,\n \"acc_stderr\": 0.028620130800700246,\n\ \ \"acc_norm\": 0.4869281045751634,\n \"acc_norm_stderr\": 0.028620130800700246\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5594855305466238,\n\ \ \"acc_stderr\": 0.028196400574197426,\n \"acc_norm\": 0.5594855305466238,\n\ \ \"acc_norm_stderr\": 0.028196400574197426\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.5493827160493827,\n \"acc_stderr\": 0.027684721415656192,\n\ \ \"acc_norm\": 0.5493827160493827,\n \"acc_norm_stderr\": 0.027684721415656192\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.34397163120567376,\n \"acc_stderr\": 0.028338017428611327,\n \ \ \"acc_norm\": 0.34397163120567376,\n \"acc_norm_stderr\": 0.028338017428611327\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3435462842242503,\n\ \ \"acc_stderr\": 0.012128961174190163,\n \"acc_norm\": 0.3435462842242503,\n\ \ \"acc_norm_stderr\": 0.012128961174190163\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.4338235294117647,\n \"acc_stderr\": 0.030105636570016633,\n\ \ \"acc_norm\": 0.4338235294117647,\n \"acc_norm_stderr\": 0.030105636570016633\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.4722222222222222,\n \"acc_stderr\": 0.020196594933541197,\n \ \ \"acc_norm\": 0.4722222222222222,\n \"acc_norm_stderr\": 0.020196594933541197\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5818181818181818,\n\ \ \"acc_stderr\": 0.04724577405731572,\n \"acc_norm\": 0.5818181818181818,\n\ \ \"acc_norm_stderr\": 0.04724577405731572\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.5918367346938775,\n \"acc_stderr\": 0.03146465712827423,\n\ \ \"acc_norm\": 0.5918367346938775,\n \"acc_norm_stderr\": 0.03146465712827423\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6119402985074627,\n\ \ \"acc_stderr\": 0.0344578996436275,\n \"acc_norm\": 0.6119402985074627,\n\ \ \"acc_norm_stderr\": 0.0344578996436275\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.04351941398892446\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.42168674698795183,\n\ \ \"acc_stderr\": 0.03844453181770917,\n \"acc_norm\": 0.42168674698795183,\n\ \ \"acc_norm_stderr\": 0.03844453181770917\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.03615507630310935,\n\ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.03615507630310935\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.47613219094247244,\n\ \ \"mc1_stderr\": 0.017483547156961574,\n \"mc2\": 0.6303117698117346,\n\ \ \"mc2_stderr\": 0.016087485552401973\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.6906077348066298,\n \"acc_stderr\": 0.012991329330823007\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.1728582259287339,\n \ \ \"acc_stderr\": 0.010415432246200566\n }\n}\n```" repo_url: https://huggingface.co/ResplendentAI/Obscura_32k_7B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: [e-mail] configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|arc:challenge|25_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-25T10-06-48.746238.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|gsm8k|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hellaswag|10_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-25T10-06-48.746238.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-management|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-25T10-06-48.746238.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|truthfulqa:mc|0_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-25T10-06-48.746238.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_25T10_06_48.746238 path: - '**/details_harness|winogrande|5_2024-03-25T10-06-48.746238.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-25T10-06-48.746238.parquet' - config_name: results data_files: - split: 2024_03_25T10_06_48.746238 path: - results_2024-03-25T10-06-48.746238.parquet - split: latest path: - results_2024-03-25T10-06-48.746238.parquet --- # Dataset Card for Evaluation run of ResplendentAI/Obscura_32k_7B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [ResplendentAI/Obscura_32k_7B](https://huggingface.co/ResplendentAI/Obscura_32k_7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_ResplendentAI__Obscura_32k_7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-25T10:06:48.746238](https://huggingface.co/datasets/open-llm-leaderboard/details_ResplendentAI__Obscura_32k_7B/blob/main/results_2024-03-25T10-06-48.746238.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": 0.4919542952361311, "acc_stderr": 0.03443351127455121, "acc_norm": 0.49720218567568364, "acc_norm_stderr": 0.035190783488779874, "mc1": 0.47613219094247244, "mc1_stderr": 0.017483547156961574, "mc2": 0.6303117698117346, "mc2_stderr": 0.016087485552401973 }, "harness|arc:challenge|25": { "acc": 0.5307167235494881, "acc_stderr": 0.014583792546304038, "acc_norm": 0.552901023890785, "acc_norm_stderr": 0.014529380160526848 }, "harness|hellaswag|10": { "acc": 0.6130252937661821, "acc_stderr": 0.004860623733461129, "acc_norm": 0.7800238996215894, "acc_norm_stderr": 0.004133835786651177 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.45185185185185184, "acc_stderr": 0.04299268905480864, "acc_norm": 0.45185185185185184, "acc_norm_stderr": 0.04299268905480864 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.46710526315789475, "acc_stderr": 0.040601270352363966, "acc_norm": 0.46710526315789475, "acc_norm_stderr": 0.040601270352363966 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5358490566037736, "acc_stderr": 0.030693675018458006, "acc_norm": 0.5358490566037736, "acc_norm_stderr": 0.030693675018458006 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4652777777777778, "acc_stderr": 0.04171115858181618, "acc_norm": 0.4652777777777778, "acc_norm_stderr": 0.04171115858181618 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4913294797687861, "acc_stderr": 0.03811890988940413, "acc_norm": 0.4913294797687861, "acc_norm_stderr": 0.03811890988940413 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2549019607843137, "acc_stderr": 0.0433643270799318, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.0433643270799318 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.37872340425531914, "acc_stderr": 0.03170995606040655, "acc_norm": 0.37872340425531914, "acc_norm_stderr": 0.03170995606040655 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.3508771929824561, "acc_stderr": 0.044895393502707, "acc_norm": 0.3508771929824561, "acc_norm_stderr": 0.044895393502707 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5172413793103449, "acc_stderr": 0.04164188720169375, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.04164188720169375 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3835978835978836, "acc_stderr": 0.0250437573185202, "acc_norm": 0.3835978835978836, "acc_norm_stderr": 0.0250437573185202 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3412698412698413, "acc_stderr": 0.04240799327574924, "acc_norm": 0.3412698412698413, "acc_norm_stderr": 0.04240799327574924 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5580645161290323, "acc_stderr": 0.02825155790684974, "acc_norm": 0.5580645161290323, "acc_norm_stderr": 0.02825155790684974 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3645320197044335, "acc_stderr": 0.0338640574606209, "acc_norm": 0.3645320197044335, "acc_norm_stderr": 0.0338640574606209 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6060606060606061, "acc_stderr": 0.0381549430868893, "acc_norm": 0.6060606060606061, "acc_norm_stderr": 0.0381549430868893 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.6313131313131313, "acc_stderr": 0.034373055019806184, "acc_norm": 0.6313131313131313, "acc_norm_stderr": 0.034373055019806184 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7357512953367875, "acc_stderr": 0.031821550509166456, "acc_norm": 0.7357512953367875, "acc_norm_stderr": 0.031821550509166456 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4307692307692308, "acc_stderr": 0.02510682066053975, "acc_norm": 0.4307692307692308, "acc_norm_stderr": 0.02510682066053975 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26666666666666666, "acc_stderr": 0.026962424325073824, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.026962424325073824 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.46218487394957986, "acc_stderr": 0.0323854694875898, "acc_norm": 0.46218487394957986, "acc_norm_stderr": 0.0323854694875898 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.31788079470198677, "acc_stderr": 0.038020397601079024, "acc_norm": 0.31788079470198677, "acc_norm_stderr": 0.038020397601079024 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.6036697247706422, "acc_stderr": 0.020971469947900532, "acc_norm": 0.6036697247706422, "acc_norm_stderr": 0.020971469947900532 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.30092592592592593, "acc_stderr": 0.03128039084329881, "acc_norm": 0.30092592592592593, "acc_norm_stderr": 0.03128039084329881 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.6225490196078431, "acc_stderr": 0.03402272044340703, "acc_norm": 0.6225490196078431, "acc_norm_stderr": 0.03402272044340703 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.6413502109704642, "acc_stderr": 0.03121956944530184, "acc_norm": 0.6413502109704642, "acc_norm_stderr": 0.03121956944530184 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6098654708520179, "acc_stderr": 0.03273766725459156, "acc_norm": 0.6098654708520179, "acc_norm_stderr": 0.03273766725459156 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.46564885496183206, "acc_stderr": 0.04374928560599738, "acc_norm": 0.46564885496183206, "acc_norm_stderr": 0.04374928560599738 }, "harness|hendrycksTest-international_law|5": { "acc": 0.6611570247933884, "acc_stderr": 0.04320767807536671, "acc_norm": 0.6611570247933884, "acc_norm_stderr": 0.04320767807536671 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.5925925925925926, "acc_stderr": 0.04750077341199984, "acc_norm": 0.5925925925925926, "acc_norm_stderr": 0.04750077341199984 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.5766871165644172, "acc_stderr": 0.03881891213334383, "acc_norm": 0.5766871165644172, "acc_norm_stderr": 0.03881891213334383 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.36607142857142855, "acc_stderr": 0.04572372358737431, "acc_norm": 0.36607142857142855, "acc_norm_stderr": 0.04572372358737431 }, "harness|hendrycksTest-management|5": { "acc": 0.6504854368932039, "acc_stderr": 0.04721188506097173, "acc_norm": 0.6504854368932039, "acc_norm_stderr": 0.04721188506097173 }, "harness|hendrycksTest-marketing|5": { "acc": 0.7564102564102564, "acc_stderr": 0.028120966503914414, "acc_norm": 0.7564102564102564, "acc_norm_stderr": 0.028120966503914414 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.6679438058748404, "acc_stderr": 0.01684117465529572, "acc_norm": 0.6679438058748404, "acc_norm_stderr": 0.01684117465529572 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.5606936416184971, "acc_stderr": 0.026720034380514995, "acc_norm": 0.5606936416184971, "acc_norm_stderr": 0.026720034380514995 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.25139664804469275, "acc_stderr": 0.01450897945355398, "acc_norm": 0.25139664804469275, "acc_norm_stderr": 0.01450897945355398 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.4869281045751634, "acc_stderr": 0.028620130800700246, "acc_norm": 0.4869281045751634, "acc_norm_stderr": 0.028620130800700246 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.5594855305466238, "acc_stderr": 0.028196400574197426, "acc_norm": 0.5594855305466238, "acc_norm_stderr": 0.028196400574197426 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.5493827160493827, "acc_stderr": 0.027684721415656192, "acc_norm": 0.5493827160493827, "acc_norm_stderr": 0.027684721415656192 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.34397163120567376, "acc_stderr": 0.028338017428611327, "acc_norm": 0.34397163120567376, "acc_norm_stderr": 0.028338017428611327 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.3435462842242503, "acc_stderr": 0.012128961174190163, "acc_norm": 0.3435462842242503, "acc_norm_stderr": 0.012128961174190163 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.4338235294117647, "acc_stderr": 0.030105636570016633, "acc_norm": 0.4338235294117647, "acc_norm_stderr": 0.030105636570016633 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.4722222222222222, "acc_stderr": 0.020196594933541197, "acc_norm": 0.4722222222222222, "acc_norm_stderr": 0.020196594933541197 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.5818181818181818, "acc_stderr": 0.04724577405731572, "acc_norm": 0.5818181818181818, "acc_norm_stderr": 0.04724577405731572 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.5918367346938775, "acc_stderr": 0.03146465712827423, "acc_norm": 0.5918367346938775, "acc_norm_stderr": 0.03146465712827423 }, "harness|hendrycksTest-sociology|5": { "acc": 0.6119402985074627, "acc_stderr": 0.0344578996436275, "acc_norm": 0.6119402985074627, "acc_norm_stderr": 0.0344578996436275 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-virology|5": { "acc": 0.42168674698795183, "acc_stderr": 0.03844453181770917, "acc_norm": 0.42168674698795183, "acc_norm_stderr": 0.03844453181770917 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.6666666666666666, "acc_stderr": 0.03615507630310935, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.03615507630310935 }, "harness|truthfulqa:mc|0": { "mc1": 0.47613219094247244, "mc1_stderr": 0.017483547156961574, "mc2": 0.6303117698117346, "mc2_stderr": 0.016087485552401973 }, "harness|winogrande|5": { "acc": 0.6906077348066298, "acc_stderr": 0.012991329330823007 }, "harness|gsm8k|5": { "acc": 0.1728582259287339, "acc_stderr": 0.010415432246200566 } } ``` ## 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. --> ### 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原始信息汇总

数据集概述

该数据集是在对模型 ResplendentAI/Obscura_32k_7B 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集组成

• 数据集包含 63 个配置，每个配置对应一个评估任务。
• 数据集从 1 次运行中创建，每次运行可以在每个配置中找到特定的分割，分割名称使用运行的时间戳。
• "train" 分割始终指向最新的结果。
• 额外的 "results" 配置存储所有运行的聚合结果，用于计算和显示 Open LLM Leaderboard 上的聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_ResplendentAI__Obscura_32k_7B", "harness_winogrande_5", split="train")

最新结果

以下是 2024-03-25T10:06:48.746238 运行的最新结果：

python { "all": { "acc": 0.4919542952361311, "acc_stderr": 0.03443351127455121, "acc_norm": 0.49720218567568364, "acc_norm_stderr": 0.035190783488779874, "mc1": 0.47613219094247244, "mc1_stderr": 0.017483547156961574, "mc2": 0.6303117698117346, "mc2_stderr": 0.016087485552401973 }, "harness|arc:challenge|25": { "acc": 0.5307167235494881, "acc_stderr": 0.014583792546304038, "acc_norm": 0.552901023890785, "acc_norm_stderr": 0.014529380160526848 }, "harness|hellaswag|10": { "acc": 0.6130252937661821, "acc_stderr": 0.004860623733461129, "acc_norm": 0.7800238996215894, "acc_norm_stderr": 0.004133835786651177 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.45185185185185184, "acc_stderr": 0.04299268905480864, "acc_norm": 0.45185185185185184, "acc_norm_stderr": 0.04299268905480864 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.46710526315789475, "acc_stderr": 0.040601270352363966, "acc_norm": 0.46710526315789475, "acc_norm_stderr": 0.040601270352363966 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5358490566037736, "acc_stderr": 0.030693675018458006, "acc_norm": 0.5358490566037736, "acc_norm_stderr": 0.030693675018458006 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4652777777777778, "acc_stderr": 0.04171115858181618, "acc_norm": 0.4652777777777778, "acc_norm_stderr": 0.04171115858181618 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4913294797687861, "acc_stderr": 0.03811890988940413, "acc_norm": 0.4913294797687861, "acc_norm_stderr": 0.03811890988940413 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2549019607843137, "acc_stderr": 0.0433643270799318, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.0433643270799318 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.37872340425531914, "acc_stderr": 0.03170995606040655, "acc_norm": 0.37872340425531914, "acc_norm_stderr": 0.03170995606040655 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.3508771929824561, "acc_stderr": 0.044895393502707, "acc_norm": 0.3508771929824561, "acc_norm_stderr": 0.044895393502707 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5172413793103449, "acc_stderr": 0.04164188720169375, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.04164188720169375 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3835978835978836, "acc_stderr": 0.0250437573185202, "acc_norm": 0.3835978835978836, "acc_norm_stderr": 0.0250437573185202 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3412698412698413, "acc_stderr": 0.04240799327574924, "acc_norm": 0.3412698412698413, "acc_norm_stderr": 0.04240799327574924 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5580645161290323, "acc_stderr": 0.02825155790684974, "acc_norm": 0.5580645161290323, "acc_norm_stderr": 0.02825155790684974 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3645320197044335, "acc_stderr": 0.0338640574606209, "acc_norm": 0.3645320197044335, "acc_norm_stderr": 0.0338640574606209 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6060606060606061, "acc_stderr": 0.0381549430868893, "acc_norm": 0.6060606060606061, "acc_norm_stderr": 0.0381549430868893 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.6313131313131313, "acc_stderr": 0.034373055019806184, "acc_norm": 0.6313131313131313, "acc_norm_stderr": 0.034373055019806184 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7357512953367875, "acc_stderr": 0.031821550509166456, "acc_norm": 0.7357512953367875, "acc_norm_stderr": 0.031821550509166456 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4307692307692308, "acc_stderr": 0.02510682066053975, "acc_norm": 0.4307692307692308, "acc_norm_stderr": 0.02510682066053975 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26666666666666666, "acc_stderr": 0.026962424325073824, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0

搜集汇总

数据集介绍

构建方式

该数据集是在Open LLM Leaderboard上对模型ResplendentAI/Obscura_32k_7B进行自动化评估的过程中生成的。整个数据集涵盖了63个配置，每个配置对应一个被评估的任务，例如ARC挑战、HellaSwag、GSM8K以及涵盖多学科知识的Hendrycks测试等。数据来源于单次运行，每次运行的结果作为特定分割存储于各配置中，分割以运行的时间戳命名，而'train'分割始终指向最新的评估结果。此外，还设有专门的'results'配置，用于汇总并存储所有运行的综合指标，这些指标被用于在排行榜上计算和展示聚合性能。

使用方法

用户可通过Hugging Face的datasets库便捷地加载该数据集。以加载Winogrande任务的评估结果为例，使用load_dataset函数指定数据集名称'open-llm-leaderboard/details_ResplendentAI__Obscura_32k_7B'、配置名'harness_winogrande_5'以及分割'split="train"'即可获取最新数据。若要访问特定历史运行的结果，可将分割参数替换为对应的时间戳标识。加载后的数据以Parquet格式存储，可直接用于后续的模型性能复现、对比分析或可视化展示。

背景与挑战

背景概述

随着大语言模型（LLM）性能的飞速提升，如何系统、公正地评估其多样化能力成为自然语言处理领域的核心议题。在此背景下，Hugging Face团队于2023年发起了Open LLM Leaderboard项目，旨在通过标准化评测套件对开源模型进行多维度的性能追踪与对比。该数据集正是对ResplendentAI团队开发的Obscura_32k_7B模型在2024年3月25日进行的一次完整评测记录，包含ARC-Challenge、HellaSwag、MMLU、TruthfulQA、Winogrande及GSM8K等63个配置项，覆盖了常识推理、知识理解、数学求解与语言歧义消解等关键能力维度。作为开源评测生态的重要组成部分，该数据集不仅为开发者提供了模型在特定时间点的详尽性能快照，更通过公开透明的评测流程推动了社区对LLM能力的深入认知与比较研究。

当前挑战

该数据集所反映的核心挑战集中在两个方面。其一，领域问题层面，当前LLM评测面临任务多样性与评估深度的平衡难题：Obscura_32k_7B在HellaSwag（78.0% acc_norm）与Winogrande（69.1%）等任务上表现尚可，但在GSM8K数学推理（17.3%）与部分MMLU子集（如大学物理25.5%、高等数学26.7%）上准确率显著偏低，揭示了模型在复杂推理与专业领域知识方面的系统性短板。其二，构建过程中，评测数据集的维护面临版本一致性挑战——该数据集包含63个独立配置项，每个任务需对应特定few-shot设置（如5-shot或10-shot），且评测结果需通过时间戳分片管理多个运行版本，确保“latest”分片始终指向最新结果的同时，还需保留历史快照以供复现分析，这对数据存储结构与版本控制机制提出了较高要求。

常用场景

经典使用场景

在大规模语言模型评估的学术前沿，Open LLM Leaderboard上的评估运行数据集为模型性能的标准化度量提供了基石。该数据集专为ResplendentAI/Obscura_32k_7B模型设计，涵盖63个配置，每个配置对应一项评估任务，如ARC挑战、HellaSwag、GSM8K及涵盖57个学科的MMLU基准。研究者可通过加载特定任务（如winogrande）的详细结果，深入分析模型在常识推理、数学求解与多领域知识掌握上的表现，从而在模型选型与改进中做出精准决策。

解决学术问题

该数据集解决了大语言模型评估中缺乏统一、细粒度性能记录的关键难题。通过系统化存储每次运行的逐任务结果，它使得跨模型、跨时间的比较成为可能，有效支撑了模型泛化能力与鲁棒性的量化分析。其意义在于，为学术社区提供了透明、可复现的评估框架，推动了模型在复杂推理（如GSM8K数学题）与知识密集型任务（如MMLU医学、法律）上的基准建立，进而引导研究者聚焦于模型短板，加速性能突破。

实际应用

在实际应用中，该数据集为模型部署前的性能验证提供了可靠依据。企业或开发者可依据其在ARC挑战（科学推理）与HellaSwag（常识推理）上的得分，筛选出最适合特定场景的模型，例如在教育辅导中选用数学能力突出的模型，或在客服系统中依赖常识推理稳健的变体。此外，TruthfulQA结果指导了模型诚实性的调优，确保在金融、医疗等高风险领域中的输出可信度。

数据集最近研究

最新研究方向

在大语言模型性能评测领域，Open LLM Leaderboard已成为衡量模型综合能力的权威基准平台。ResplendentAI/Obscura_32k_7B模型在该排行榜上的评估数据，揭示了当前研究聚焦于构建多维度、细粒度的评测体系。该数据集记录了模型在63个任务配置上的表现，涵盖ARC挑战赛、HellaSwag常识推理、GSM8K数学问题求解以及涵盖57个学科领域的MMLU测试，尤其关注模型在长上下文处理能力（32K tokens）下的推理一致性。前沿研究方向正从单一准确率指标转向对模型鲁棒性、领域泛化能力及偏见控制的综合评估。这一趋势与业界对AI安全性和可靠性的日益关注相呼应，推动了评测标准从静态榜单向动态追踪模型迭代演进的转变，为构建更透明、可复现的模型评估生态奠定了数据基础。