open-llm-leaderboard/details_rmdhirr__Pulsar_7B

--- pretty_name: Evaluation run of rmdhirr/Pulsar_7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [rmdhirr/Pulsar_7B](https://huggingface.co/rmdhirr/Pulsar_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_rmdhirr__Pulsar_7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-15T19:03:32.383521](https://huggingface.co/datasets/open-llm-leaderboard/details_rmdhirr__Pulsar_7B/blob/main/results_2024-04-15T19-03-32.383521.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\": 0.6429388923802386,\n\ \ \"acc_stderr\": 0.03221786269293443,\n \"acc_norm\": 0.6421483920026362,\n\ \ \"acc_norm_stderr\": 0.03289698996320293,\n \"mc1\": 0.5287637698898409,\n\ \ \"mc1_stderr\": 0.017474513848525518,\n \"mc2\": 0.6928139441005616,\n\ \ \"mc2_stderr\": 0.014688283427977348\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6663822525597269,\n \"acc_stderr\": 0.013778687054176536,\n\ \ \"acc_norm\": 0.697098976109215,\n \"acc_norm_stderr\": 0.013428241573185349\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6761601274646485,\n\ \ \"acc_stderr\": 0.004669834130977074,\n \"acc_norm\": 0.869946225851424,\n\ \ \"acc_norm_stderr\": 0.0033567515689037672\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252605,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252605\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6296296296296297,\n\ \ \"acc_stderr\": 0.041716541613545426,\n \"acc_norm\": 0.6296296296296297,\n\ \ \"acc_norm_stderr\": 0.041716541613545426\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6710526315789473,\n \"acc_stderr\": 0.03823428969926605,\n\ \ \"acc_norm\": 0.6710526315789473,\n \"acc_norm_stderr\": 0.03823428969926605\n\ \ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\ : {\n \"acc\": 0.7018867924528301,\n \"acc_stderr\": 0.028152837942493864,\n\ \ \"acc_norm\": 0.7018867924528301,\n \"acc_norm_stderr\": 0.028152837942493864\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7430555555555556,\n\ \ \"acc_stderr\": 0.03653946969442099,\n \"acc_norm\": 0.7430555555555556,\n\ \ \"acc_norm_stderr\": 0.03653946969442099\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.52,\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\": 0.28,\n \"acc_stderr\": 0.04512608598542127,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542127\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.653179190751445,\n\ \ \"acc_stderr\": 0.036291466701596636,\n \"acc_norm\": 0.653179190751445,\n\ \ \"acc_norm_stderr\": 0.036291466701596636\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.43137254901960786,\n \"acc_stderr\": 0.04928099597287533,\n\ \ \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.04928099597287533\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.79,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.79,\n\ \ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.574468085106383,\n \"acc_stderr\": 0.03232146916224469,\n\ \ \"acc_norm\": 0.574468085106383,\n \"acc_norm_stderr\": 0.03232146916224469\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.041227371113703316,\n\ \ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.041227371113703316\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.42328042328042326,\n \"acc_stderr\": 0.025446365634406786,\n \"\ acc_norm\": 0.42328042328042326,\n \"acc_norm_stderr\": 0.025446365634406786\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.04472135954999579,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.04472135954999579\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\"\ : 0.7741935483870968,\n \"acc_stderr\": 0.023785577884181012,\n \"\ acc_norm\": 0.7741935483870968,\n \"acc_norm_stderr\": 0.023785577884181012\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.5172413793103449,\n \"acc_stderr\": 0.035158955511656986,\n \"\ acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.035158955511656986\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-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\"\ : 0.7929292929292929,\n \"acc_stderr\": 0.028869778460267045,\n \"\ acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.028869778460267045\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8756476683937824,\n \"acc_stderr\": 0.023814477086593552,\n\ \ \"acc_norm\": 0.8756476683937824,\n \"acc_norm_stderr\": 0.023814477086593552\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\": 0.3074074074074074,\n \"acc_stderr\": 0.028133252578815632,\n \ \ \"acc_norm\": 0.3074074074074074,\n \"acc_norm_stderr\": 0.028133252578815632\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\"\ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8275229357798165,\n \"acc_stderr\": 0.016197807956848026,\n \"\ acc_norm\": 0.8275229357798165,\n \"acc_norm_stderr\": 0.016197807956848026\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.49074074074074076,\n \"acc_stderr\": 0.034093869469927006,\n \"\ acc_norm\": 0.49074074074074076,\n \"acc_norm_stderr\": 0.034093869469927006\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8088235294117647,\n \"acc_stderr\": 0.027599174300640766,\n \"\ acc_norm\": 0.8088235294117647,\n \"acc_norm_stderr\": 0.027599174300640766\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8185654008438819,\n \"acc_stderr\": 0.02508596114457966,\n \ \ \"acc_norm\": 0.8185654008438819,\n \"acc_norm_stderr\": 0.02508596114457966\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.672645739910314,\n\ \ \"acc_stderr\": 0.03149384670994131,\n \"acc_norm\": 0.672645739910314,\n\ \ \"acc_norm_stderr\": 0.03149384670994131\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.034981493854624714,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.034981493854624714\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\": 0.7685185185185185,\n\ \ \"acc_stderr\": 0.04077494709252627,\n \"acc_norm\": 0.7685185185185185,\n\ \ \"acc_norm_stderr\": 0.04077494709252627\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.754601226993865,\n \"acc_stderr\": 0.03380939813943354,\n\ \ \"acc_norm\": 0.754601226993865,\n \"acc_norm_stderr\": 0.03380939813943354\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\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\ \ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8675213675213675,\n\ \ \"acc_stderr\": 0.022209309073165616,\n \"acc_norm\": 0.8675213675213675,\n\ \ \"acc_norm_stderr\": 0.022209309073165616\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8237547892720306,\n\ \ \"acc_stderr\": 0.013625556907993452,\n \"acc_norm\": 0.8237547892720306,\n\ \ \"acc_norm_stderr\": 0.013625556907993452\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7514450867052023,\n \"acc_stderr\": 0.023267528432100174,\n\ \ \"acc_norm\": 0.7514450867052023,\n \"acc_norm_stderr\": 0.023267528432100174\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3664804469273743,\n\ \ \"acc_stderr\": 0.016115235504865474,\n \"acc_norm\": 0.3664804469273743,\n\ \ \"acc_norm_stderr\": 0.016115235504865474\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7058823529411765,\n \"acc_stderr\": 0.026090162504279056,\n\ \ \"acc_norm\": 0.7058823529411765,\n \"acc_norm_stderr\": 0.026090162504279056\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\": 0.7253086419753086,\n \"acc_stderr\": 0.024836057868294674,\n\ \ \"acc_norm\": 0.7253086419753086,\n \"acc_norm_stderr\": 0.024836057868294674\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4787234042553192,\n \"acc_stderr\": 0.029800481645628693,\n \ \ \"acc_norm\": 0.4787234042553192,\n \"acc_norm_stderr\": 0.029800481645628693\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4576271186440678,\n\ \ \"acc_stderr\": 0.012724296550980188,\n \"acc_norm\": 0.4576271186440678,\n\ \ \"acc_norm_stderr\": 0.012724296550980188\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6580882352941176,\n \"acc_stderr\": 0.028814722422254184,\n\ \ \"acc_norm\": 0.6580882352941176,\n \"acc_norm_stderr\": 0.028814722422254184\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6470588235294118,\n \"acc_stderr\": 0.019333142020797164,\n \ \ \"acc_norm\": 0.6470588235294118,\n \"acc_norm_stderr\": 0.019333142020797164\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\": 0.7224489795918367,\n \"acc_stderr\": 0.028666857790274648,\n\ \ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.028666857790274648\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\": 0.83,\n \"acc_stderr\": 0.0377525168068637,\n \ \ \"acc_norm\": 0.83,\n \"acc_norm_stderr\": 0.0377525168068637\n },\n\ \ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5301204819277109,\n\ \ \"acc_stderr\": 0.03885425420866767,\n \"acc_norm\": 0.5301204819277109,\n\ \ \"acc_norm_stderr\": 0.03885425420866767\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.847953216374269,\n \"acc_stderr\": 0.027539122889061452,\n\ \ \"acc_norm\": 0.847953216374269,\n \"acc_norm_stderr\": 0.027539122889061452\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5287637698898409,\n\ \ \"mc1_stderr\": 0.017474513848525518,\n \"mc2\": 0.6928139441005616,\n\ \ \"mc2_stderr\": 0.014688283427977348\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.840568271507498,\n \"acc_stderr\": 0.010288617479454764\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7164518574677786,\n \ \ \"acc_stderr\": 0.012415070917508125\n }\n}\n```" repo_url: https://huggingface.co/rmdhirr/Pulsar_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_04_15T19_03_32.383521 path: - '**/details_harness|arc:challenge|25_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-04-15T19-03-32.383521.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|gsm8k|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hellaswag|10_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-15T19-03-32.383521.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-management|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-virology|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T19-03-32.383521.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|truthfulqa:mc|0_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-04-15T19-03-32.383521.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_04_15T19_03_32.383521 path: - '**/details_harness|winogrande|5_2024-04-15T19-03-32.383521.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-04-15T19-03-32.383521.parquet' - config_name: results data_files: - split: 2024_04_15T19_03_32.383521 path: - results_2024-04-15T19-03-32.383521.parquet - split: latest path: - results_2024-04-15T19-03-32.383521.parquet --- # Dataset Card for Evaluation run of rmdhirr/Pulsar_7B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [rmdhirr/Pulsar_7B](https://huggingface.co/rmdhirr/Pulsar_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_rmdhirr__Pulsar_7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-15T19:03:32.383521](https://huggingface.co/datasets/open-llm-leaderboard/details_rmdhirr__Pulsar_7B/blob/main/results_2024-04-15T19-03-32.383521.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": 0.6429388923802386, "acc_stderr": 0.03221786269293443, "acc_norm": 0.6421483920026362, "acc_norm_stderr": 0.03289698996320293, "mc1": 0.5287637698898409, "mc1_stderr": 0.017474513848525518, "mc2": 0.6928139441005616, "mc2_stderr": 0.014688283427977348 }, "harness|arc:challenge|25": { "acc": 0.6663822525597269, "acc_stderr": 0.013778687054176536, "acc_norm": 0.697098976109215, "acc_norm_stderr": 0.013428241573185349 }, "harness|hellaswag|10": { "acc": 0.6761601274646485, "acc_stderr": 0.004669834130977074, "acc_norm": 0.869946225851424, "acc_norm_stderr": 0.0033567515689037672 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6296296296296297, "acc_stderr": 0.041716541613545426, "acc_norm": 0.6296296296296297, "acc_norm_stderr": 0.041716541613545426 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6710526315789473, "acc_stderr": 0.03823428969926605, "acc_norm": 0.6710526315789473, "acc_norm_stderr": 0.03823428969926605 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.61, "acc_stderr": 0.04902071300001975, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7018867924528301, "acc_stderr": 0.028152837942493864, "acc_norm": 0.7018867924528301, "acc_norm_stderr": 0.028152837942493864 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7430555555555556, "acc_stderr": 0.03653946969442099, "acc_norm": 0.7430555555555556, "acc_norm_stderr": 0.03653946969442099 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.653179190751445, "acc_stderr": 0.036291466701596636, "acc_norm": 0.653179190751445, "acc_norm_stderr": 0.036291466701596636 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.43137254901960786, "acc_stderr": 0.04928099597287533, "acc_norm": 0.43137254901960786, "acc_norm_stderr": 0.04928099597287533 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.79, "acc_stderr": 0.04093601807403326, "acc_norm": 0.79, "acc_norm_stderr": 0.04093601807403326 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.574468085106383, "acc_stderr": 0.03232146916224469, "acc_norm": 0.574468085106383, "acc_norm_stderr": 0.03232146916224469 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5, "acc_stderr": 0.047036043419179864, "acc_norm": 0.5, "acc_norm_stderr": 0.047036043419179864 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5724137931034483, "acc_stderr": 0.041227371113703316, "acc_norm": 0.5724137931034483, "acc_norm_stderr": 0.041227371113703316 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.42328042328042326, "acc_stderr": 0.025446365634406786, "acc_norm": 0.42328042328042326, "acc_norm_stderr": 0.025446365634406786 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5, "acc_stderr": 0.04472135954999579, "acc_norm": 0.5, "acc_norm_stderr": 0.04472135954999579 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7741935483870968, "acc_stderr": 0.023785577884181012, "acc_norm": 0.7741935483870968, "acc_norm_stderr": 0.023785577884181012 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5172413793103449, "acc_stderr": 0.035158955511656986, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.035158955511656986 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "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": 0.7929292929292929, "acc_stderr": 0.028869778460267045, "acc_norm": 0.7929292929292929, "acc_norm_stderr": 0.028869778460267045 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8756476683937824, "acc_stderr": 0.023814477086593552, "acc_norm": 0.8756476683937824, "acc_norm_stderr": 0.023814477086593552 }, "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": 0.3074074074074074, "acc_stderr": 0.028133252578815632, "acc_norm": 0.3074074074074074, "acc_norm_stderr": 0.028133252578815632 }, "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": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8275229357798165, "acc_stderr": 0.016197807956848026, "acc_norm": 0.8275229357798165, "acc_norm_stderr": 0.016197807956848026 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.49074074074074076, "acc_stderr": 0.034093869469927006, "acc_norm": 0.49074074074074076, "acc_norm_stderr": 0.034093869469927006 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8088235294117647, "acc_stderr": 0.027599174300640766, "acc_norm": 0.8088235294117647, "acc_norm_stderr": 0.027599174300640766 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8185654008438819, "acc_stderr": 0.02508596114457966, "acc_norm": 0.8185654008438819, "acc_norm_stderr": 0.02508596114457966 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.672645739910314, "acc_stderr": 0.03149384670994131, "acc_norm": 0.672645739910314, "acc_norm_stderr": 0.03149384670994131 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8015267175572519, "acc_stderr": 0.034981493854624714, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.034981493854624714 }, "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": 0.7685185185185185, "acc_stderr": 0.04077494709252627, "acc_norm": 0.7685185185185185, "acc_norm_stderr": 0.04077494709252627 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.754601226993865, "acc_stderr": 0.03380939813943354, "acc_norm": 0.754601226993865, "acc_norm_stderr": 0.03380939813943354 }, "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": 0.7669902912621359, "acc_stderr": 0.04185832598928315, "acc_norm": 0.7669902912621359, "acc_norm_stderr": 0.04185832598928315 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8675213675213675, "acc_stderr": 0.022209309073165616, "acc_norm": 0.8675213675213675, "acc_norm_stderr": 0.022209309073165616 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8237547892720306, "acc_stderr": 0.013625556907993452, "acc_norm": 0.8237547892720306, "acc_norm_stderr": 0.013625556907993452 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7514450867052023, "acc_stderr": 0.023267528432100174, "acc_norm": 0.7514450867052023, "acc_norm_stderr": 0.023267528432100174 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.3664804469273743, "acc_stderr": 0.016115235504865474, "acc_norm": 0.3664804469273743, "acc_norm_stderr": 0.016115235504865474 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7058823529411765, "acc_stderr": 0.026090162504279056, "acc_norm": 0.7058823529411765, "acc_norm_stderr": 0.026090162504279056 }, "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": 0.7253086419753086, "acc_stderr": 0.024836057868294674, "acc_norm": 0.7253086419753086, "acc_norm_stderr": 0.024836057868294674 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4787234042553192, "acc_stderr": 0.029800481645628693, "acc_norm": 0.4787234042553192, "acc_norm_stderr": 0.029800481645628693 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4576271186440678, "acc_stderr": 0.012724296550980188, "acc_norm": 0.4576271186440678, "acc_norm_stderr": 0.012724296550980188 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6580882352941176, "acc_stderr": 0.028814722422254184, "acc_norm": 0.6580882352941176, "acc_norm_stderr": 0.028814722422254184 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6470588235294118, "acc_stderr": 0.019333142020797164, "acc_norm": 0.6470588235294118, "acc_norm_stderr": 0.019333142020797164 }, "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": 0.7224489795918367, "acc_stderr": 0.028666857790274648, "acc_norm": 0.7224489795918367, "acc_norm_stderr": 0.028666857790274648 }, "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": 0.83, "acc_stderr": 0.0377525168068637, "acc_norm": 0.83, "acc_norm_stderr": 0.0377525168068637 }, "harness|hendrycksTest-virology|5": { "acc": 0.5301204819277109, "acc_stderr": 0.03885425420866767, "acc_norm": 0.5301204819277109, "acc_norm_stderr": 0.03885425420866767 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.847953216374269, "acc_stderr": 0.027539122889061452, "acc_norm": 0.847953216374269, "acc_norm_stderr": 0.027539122889061452 }, "harness|truthfulqa:mc|0": { "mc1": 0.5287637698898409, "mc1_stderr": 0.017474513848525518, "mc2": 0.6928139441005616, "mc2_stderr": 0.014688283427977348 }, "harness|winogrande|5": { "acc": 0.840568271507498, "acc_stderr": 0.010288617479454764 }, "harness|gsm8k|5": { "acc": 0.7164518574677786, "acc_stderr": 0.012415070917508125 } } ``` ## 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]该数据集是在模型rmdhirr/Pulsar_7B的评估运行期间自动创建的，用于Open LLM Leaderboard的评估。数据集包含63个配置，每个配置对应一个评估任务。数据集由1次运行生成，每次运行的结果存储为特定配置中的一个分割，分割名称使用运行的时间戳。train分割始终指向最新的结果。此外，还有一个名为results的配置，存储了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。

原始信息汇总

数据集概述

数据集名称

• pretty_name: Evaluation run of rmdhirr/Pulsar_7B

数据集描述

• dataset_summary: 该数据集是在评估模型rmdhirr/Pulsar_7B运行期间自动创建的，用于Open LLM Leaderboard。

数据集构成

• 配置数量: 63个
• 每个配置对应一个评估任务
• 数据集创建自: 1次运行
• 数据集分割: 每个运行对应一个特定的分割，分割名称使用运行的时间戳。"train"分割始终指向最新结果。

数据集使用

• 加载数据示例: python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_rmdhirr__Pulsar_7B", "harness_winogrande_5", split="train")

最新结果

• 结果存储于: 一个名为"results"的额外配置中，用于计算和显示聚合指标。
• 示例结果: python { "all": {...}, "harness|arc:challenge|25": {...}, "harness|hellaswag|10": {...}, ... }

数据集配置详情

配置列表

• harness_arc_challenge_25
• harness_gsm8k_5
• harness_hellaswag_10
• harness_hendrycksTest_5 (包含多个子配置)

数据文件路径

• harness_arc_challenge_25:

  • split: 2024_04_15T19_03_32.383521, latest
  • path: /details_harness|arc:challenge|25_2024-04-15T19-03-32.383521.parquet

• harness_gsm8k_5:

  • split: 2024_04_15T19_03_32.383521, latest
  • path: /details_harness|gsm8k|5_2024-04-15T19-03-32.383521.parquet

• harness_hellaswag_10:

  • split: 2024_04_15T19_03_32.383521, latest
  • path: /details_harness|hellaswag|10_2024-04-15T19-03-32.383521.parquet

• harness_hendrycksTest_5:

  • split: 2024_04_15T19_03_32.383521, latest
  • path: 多个子配置的路径，如**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T19-03-32.383521.parquet**等。

以上概述提供了数据集的基本信息、构成、使用方法以及详细配置和数据文件路径。

搜集汇总

数据集介绍

构建方式

在大型语言模型评测的浪潮中，Open LLM Leaderboard 为模型性能的横向对比提供了标准化平台。该数据集正是针对模型 rmdhirr/Pulsar_7B 在 Leaderboard 上的单次评估运行（时间戳为 2024-04-15T19:03:32.383521）而自动生成的产物。其构建方式基于 63 个独立配置，每个配置对应一项评测任务，涵盖 ARC-Challenge、HellaSwag、GSM8K、Winogrande、TruthfulQA 以及涵盖 57 个学科的 MMLU 子集。每次运行的结果以时间戳命名的 split 形式存储于各配置中，而 'train' split 则始终指向最新一次运行的评测结果。此外，一个名为 'results' 的独立配置聚合了本次运行的所有指标，用于在 Leaderboard 上计算并展示综合性能。

使用方法

研究者可通过 Hugging Face datasets 库便捷地访问该数据集的特定任务结果。例如，加载 Winogrande 任务的详细评测数据，只需执行：from datasets import load_dataset; data = load_dataset('open-llm-leaderboard/details_rmdhirr__Pulsar_7B', 'harness_winogrande_5', split='train')。若需获取所有任务的聚合指标，可加载 'results' 配置。这种设计使得下游分析——如对比不同 run 的分数、计算任务间的性能相关性或可视化模型短板——变得直接而高效，无需手动解析原始日志文件。

背景与挑战

背景概述

随着大规模语言模型（LLM）在自然语言处理领域的迅猛发展，如何系统、公正地评估其综合能力成为学界与工业界共同关注的焦点。在此背景下，由Hugging Face团队主导的Open LLM Leaderboard应运而生，旨在通过标准化评测框架衡量各类开源模型的性能。本数据集记录了2024年4月15日对Pulsar_7B模型的一次完整评估运行，涵盖63个配置项，涉及ARC挑战赛、HellaSwag、GSM8K、TruthfulQA及涵盖57个学科的MMLU等多元任务。该数据集由Hugging Face首席工程师Clémentine Fourrier等人创建，为研究者提供了细粒度、可复现的模型评测结果，成为对比不同LLM能力的重要参考基准，对推动开源LLM的透明化评估与迭代优化具有显著影响力。

当前挑战

当前数据集面临的核心挑战在于评测体系的全面性与公平性。所解决的领域问题是如何在语言模型能力日益泛化的背景下，设计出能覆盖常识推理、数学解题、多学科知识及事实一致性等多维度的标准化评估任务，以避免单一指标导致的性能偏差。构建过程中，挑战集中于确保各子任务数据格式的统一、评测流程的自动化与可复现性，以及处理不同模型输出差异带来的评分歧义。例如，在MMLU的57个学科中，模型在抽象代数与高中数学等任务上的低分（约0.28-0.33）揭示了其在逻辑推理与精确计算方面的短板，而TruthfulQA的mc1分数（0.53）则凸显了事实性对齐的难度。此外，评测结果的时效性与版本管理（如区分‘最新’与历史运行）亦对数据集的持续维护构成考验。

常用场景

经典使用场景

在大规模语言模型评估领域，Open LLM Leaderboard评测数据集为Pulsar_7B等模型提供了标准化的性能度量框架。该数据集整合了涵盖常识推理、知识问答、数学求解及偏见检测等63个多样化任务，如ARC-Challenge、HellaSwag、GSM8K和TruthfulQA等，研究者通过加载特定配置和分割即可复现模型在各子任务上的精确表现，从而实现对模型推理能力、事实性知识掌握程度以及安全性的系统性评估。

解决学术问题

该数据集有效解决了语言模型评估中缺乏统一基准与可重复性不足的学术难题。通过结构化存储每次评测的细粒度结果，它使得跨模型、跨时间点的性能比较成为可能，推动了模型鲁棒性、泛化能力与知识广度的量化研究。其意义在于为社区提供透明、动态的模型排行榜，促进了语言模型在复杂推理、多领域知识整合及安全对齐等方向上的竞争与进步。

实际应用

在实际应用中，该数据集支撑了模型选型与部署前的能力验证。企业或研究机构可利用其多任务评测结果，快速判断Pulsar_7B是否适用于特定下游场景，如教育领域的自动问答、医疗领域的知识检索或客服系统的逻辑推理。此外，其持续更新的评测流程为模型迭代提供了实时反馈，助力开发者在资源受限条件下优化模型性能。

数据集最近研究

最新研究方向

在大语言模型性能评估领域，Open LLM Leaderboard已成为衡量模型综合能力的重要基准平台。针对rmdhirr/Pulsar_7B模型的评估数据集，其核心研究方向聚焦于多任务、多维度的大规模自动化评测体系构建。该数据集整合了涵盖常识推理（如HellaSwag、ARC-Challenge）、数学推理（GSM8K）、知识问答（MMLU的57个学科子集）以及对抗性真实性检测（TruthfulQA）等63项标准化评测任务，通过统一的数据格式与运行时间戳管理，实现了模型表现的可追溯性与横向对比。这一研究趋势紧密关联当前大模型社区对模型泛化能力、鲁棒性及知识覆盖深度的迫切需求，尤其反映了从单一任务评测向全方位能力图谱演进的学术热点。该数据集的创建不仅为Pulsar_7B模型提供了详尽的性能画像，更通过开放、可复现的评测流程，推动了开源模型评估标准的规范化与透明化，对加速大语言模型在实际场景中的可信部署具有深远意义。