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open-llm-leaderboard-old/details_google__gemma-1.1-7b-it

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Hugging Face2024-04-15 更新2024-06-22 收录
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https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_google__gemma-1.1-7b-it
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--- pretty_name: Evaluation run of google/gemma-1.1-7b-it dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [google/gemma-1.1-7b-it](https://huggingface.co/google/gemma-1.1-7b-it) 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_google__gemma-1.1-7b-it\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-15T12:58:48.766553](https://huggingface.co/datasets/open-llm-leaderboard/details_google__gemma-1.1-7b-it/blob/main/results_2024-04-15T12-58-48.766553.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\": 0.606678798665646,\n\ \ \"acc_stderr\": 0.03317128732740283,\n \"acc_norm\": 0.6116007890085364,\n\ \ \"acc_norm_stderr\": 0.03383193418218571,\n \"mc1\": 0.3427172582619339,\n\ \ \"mc1_stderr\": 0.01661494938534704,\n \"mc2\": 0.5074425172130677,\n\ \ \"mc2_stderr\": 0.0164219457298532\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5708191126279863,\n \"acc_stderr\": 0.014464085894870653,\n\ \ \"acc_norm\": 0.6006825938566553,\n \"acc_norm_stderr\": 0.014312094557946705\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.58743278231428,\n \ \ \"acc_stderr\": 0.004912900450370839,\n \"acc_norm\": 0.7614021111332404,\n\ \ \"acc_norm_stderr\": 0.0042535530447077715\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.5185185185185185,\n\ \ \"acc_stderr\": 0.043163785995113245,\n \"acc_norm\": 0.5185185185185185,\n\ \ \"acc_norm_stderr\": 0.043163785995113245\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6776315789473685,\n \"acc_stderr\": 0.03803510248351585,\n\ \ \"acc_norm\": 0.6776315789473685,\n \"acc_norm_stderr\": 0.03803510248351585\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.6,\n\ \ \"acc_stderr\": 0.04923659639173309,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.04923659639173309\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6377358490566037,\n \"acc_stderr\": 0.029582245128384303,\n\ \ \"acc_norm\": 0.6377358490566037,\n \"acc_norm_stderr\": 0.029582245128384303\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6805555555555556,\n\ \ \"acc_stderr\": 0.038990736873573344,\n \"acc_norm\": 0.6805555555555556,\n\ \ \"acc_norm_stderr\": 0.038990736873573344\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \ \ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\ : 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6011560693641619,\n\ \ \"acc_stderr\": 0.037336266553835096,\n \"acc_norm\": 0.6011560693641619,\n\ \ \"acc_norm_stderr\": 0.037336266553835096\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.3627450980392157,\n \"acc_stderr\": 0.04784060704105654,\n\ \ \"acc_norm\": 0.3627450980392157,\n \"acc_norm_stderr\": 0.04784060704105654\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\": 0.71,\n\ \ \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5659574468085107,\n \"acc_stderr\": 0.03240038086792747,\n\ \ \"acc_norm\": 0.5659574468085107,\n \"acc_norm_stderr\": 0.03240038086792747\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4298245614035088,\n\ \ \"acc_stderr\": 0.04657047260594961,\n \"acc_norm\": 0.4298245614035088,\n\ \ \"acc_norm_stderr\": 0.04657047260594961\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.593103448275862,\n \"acc_stderr\": 0.04093793981266236,\n\ \ \"acc_norm\": 0.593103448275862,\n \"acc_norm_stderr\": 0.04093793981266236\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4656084656084656,\n \"acc_stderr\": 0.025690321762493838,\n \"\ acc_norm\": 0.4656084656084656,\n \"acc_norm_stderr\": 0.025690321762493838\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.42857142857142855,\n\ \ \"acc_stderr\": 0.04426266681379909,\n \"acc_norm\": 0.42857142857142855,\n\ \ \"acc_norm_stderr\": 0.04426266681379909\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.7451612903225806,\n \"acc_stderr\": 0.024790118459332208,\n \"\ acc_norm\": 0.7451612903225806,\n \"acc_norm_stderr\": 0.024790118459332208\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.5517241379310345,\n \"acc_stderr\": 0.034991131376767445,\n \"\ acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.034991131376767445\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\"\ : 0.68,\n \"acc_norm_stderr\": 0.04688261722621504\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.696969696969697,\n \"acc_stderr\": 0.03588624800091706,\n\ \ \"acc_norm\": 0.696969696969697,\n \"acc_norm_stderr\": 0.03588624800091706\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7575757575757576,\n \"acc_stderr\": 0.030532892233932046,\n \"\ acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.030532892233932046\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.844559585492228,\n \"acc_stderr\": 0.026148483469153314,\n\ \ \"acc_norm\": 0.844559585492228,\n \"acc_norm_stderr\": 0.026148483469153314\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6205128205128205,\n \"acc_stderr\": 0.024603626924097417,\n\ \ \"acc_norm\": 0.6205128205128205,\n \"acc_norm_stderr\": 0.024603626924097417\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.4185185185185185,\n \"acc_stderr\": 0.03007801307502206,\n \ \ \"acc_norm\": 0.4185185185185185,\n \"acc_norm_stderr\": 0.03007801307502206\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6890756302521008,\n \"acc_stderr\": 0.03006676158297792,\n \ \ \"acc_norm\": 0.6890756302521008,\n \"acc_norm_stderr\": 0.03006676158297792\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.32450331125827814,\n \"acc_stderr\": 0.03822746937658752,\n \"\ acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.03822746937658752\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8110091743119267,\n \"acc_stderr\": 0.016785481159203627,\n \"\ acc_norm\": 0.8110091743119267,\n \"acc_norm_stderr\": 0.016785481159203627\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4583333333333333,\n \"acc_stderr\": 0.03398110890294636,\n \"\ acc_norm\": 0.4583333333333333,\n \"acc_norm_stderr\": 0.03398110890294636\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7598039215686274,\n \"acc_stderr\": 0.02998373305591362,\n \"\ acc_norm\": 0.7598039215686274,\n \"acc_norm_stderr\": 0.02998373305591362\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7510548523206751,\n \"acc_stderr\": 0.028146970599422644,\n \ \ \"acc_norm\": 0.7510548523206751,\n \"acc_norm_stderr\": 0.028146970599422644\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7085201793721974,\n\ \ \"acc_stderr\": 0.030500283176545854,\n \"acc_norm\": 0.7085201793721974,\n\ \ \"acc_norm_stderr\": 0.030500283176545854\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6870229007633588,\n \"acc_stderr\": 0.04066962905677697,\n\ \ \"acc_norm\": 0.6870229007633588,\n \"acc_norm_stderr\": 0.04066962905677697\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8016528925619835,\n \"acc_stderr\": 0.03640118271990946,\n \"\ acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.03640118271990946\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.75,\n\ \ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.75,\n \ \ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7484662576687117,\n \"acc_stderr\": 0.034089978868575295,\n\ \ \"acc_norm\": 0.7484662576687117,\n \"acc_norm_stderr\": 0.034089978868575295\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.48214285714285715,\n\ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.48214285714285715,\n\ \ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\ \ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8461538461538461,\n\ \ \"acc_stderr\": 0.02363687331748929,\n \"acc_norm\": 0.8461538461538461,\n\ \ \"acc_norm_stderr\": 0.02363687331748929\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.64,\n \"acc_stderr\": 0.04824181513244218,\n \ \ \"acc_norm\": 0.64,\n \"acc_norm_stderr\": 0.04824181513244218\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7675606641123882,\n\ \ \"acc_stderr\": 0.015104550008905713,\n \"acc_norm\": 0.7675606641123882,\n\ \ \"acc_norm_stderr\": 0.015104550008905713\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6416184971098265,\n \"acc_stderr\": 0.025816756791584204,\n\ \ \"acc_norm\": 0.6416184971098265,\n \"acc_norm_stderr\": 0.025816756791584204\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.23128491620111732,\n\ \ \"acc_stderr\": 0.014102223623152573,\n \"acc_norm\": 0.23128491620111732,\n\ \ \"acc_norm_stderr\": 0.014102223623152573\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6830065359477124,\n \"acc_stderr\": 0.02664327847450875,\n\ \ \"acc_norm\": 0.6830065359477124,\n \"acc_norm_stderr\": 0.02664327847450875\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6559485530546624,\n\ \ \"acc_stderr\": 0.026981478043648043,\n \"acc_norm\": 0.6559485530546624,\n\ \ \"acc_norm_stderr\": 0.026981478043648043\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6358024691358025,\n \"acc_stderr\": 0.02677492989972234,\n\ \ \"acc_norm\": 0.6358024691358025,\n \"acc_norm_stderr\": 0.02677492989972234\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4716312056737589,\n \"acc_stderr\": 0.029779450957303062,\n \ \ \"acc_norm\": 0.4716312056737589,\n \"acc_norm_stderr\": 0.029779450957303062\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.44198174706649285,\n\ \ \"acc_stderr\": 0.01268397251359881,\n \"acc_norm\": 0.44198174706649285,\n\ \ \"acc_norm_stderr\": 0.01268397251359881\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5183823529411765,\n \"acc_stderr\": 0.030352303395351964,\n\ \ \"acc_norm\": 0.5183823529411765,\n \"acc_norm_stderr\": 0.030352303395351964\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.5996732026143791,\n \"acc_stderr\": 0.01982184368827176,\n \ \ \"acc_norm\": 0.5996732026143791,\n \"acc_norm_stderr\": 0.01982184368827176\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7363636363636363,\n\ \ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.7363636363636363,\n\ \ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.726530612244898,\n \"acc_stderr\": 0.02853556033712844,\n\ \ \"acc_norm\": 0.726530612244898,\n \"acc_norm_stderr\": 0.02853556033712844\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8159203980099502,\n\ \ \"acc_stderr\": 0.027403859410786845,\n \"acc_norm\": 0.8159203980099502,\n\ \ \"acc_norm_stderr\": 0.027403859410786845\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \ \ \"acc_norm\": 0.76,\n \"acc_norm_stderr\": 0.042923469599092816\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5060240963855421,\n\ \ \"acc_stderr\": 0.03892212195333047,\n \"acc_norm\": 0.5060240963855421,\n\ \ \"acc_norm_stderr\": 0.03892212195333047\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7894736842105263,\n \"acc_stderr\": 0.03126781714663179,\n\ \ \"acc_norm\": 0.7894736842105263,\n \"acc_norm_stderr\": 0.03126781714663179\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3427172582619339,\n\ \ \"mc1_stderr\": 0.01661494938534704,\n \"mc2\": 0.5074425172130677,\n\ \ \"mc2_stderr\": 0.0164219457298532\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.696921862667719,\n \"acc_stderr\": 0.01291672746263446\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.42987111448066717,\n \ \ \"acc_stderr\": 0.013636344017393736\n }\n}\n```" repo_url: https://huggingface.co/google/gemma-1.1-7b-it leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|arc:challenge|25_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-04-15T12-58-48.766553.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|gsm8k|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hellaswag|10_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-15T12-58-48.766553.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-management|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-virology|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T12-58-48.766553.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|truthfulqa:mc|0_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-04-15T12-58-48.766553.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_04_15T12_58_48.766553 path: - '**/details_harness|winogrande|5_2024-04-15T12-58-48.766553.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-04-15T12-58-48.766553.parquet' - config_name: results data_files: - split: 2024_04_15T12_58_48.766553 path: - results_2024-04-15T12-58-48.766553.parquet - split: latest path: - results_2024-04-15T12-58-48.766553.parquet --- # Dataset Card for Evaluation run of google/gemma-1.1-7b-it <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [google/gemma-1.1-7b-it](https://huggingface.co/google/gemma-1.1-7b-it) 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_google__gemma-1.1-7b-it", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-15T12:58:48.766553](https://huggingface.co/datasets/open-llm-leaderboard/details_google__gemma-1.1-7b-it/blob/main/results_2024-04-15T12-58-48.766553.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": 0.606678798665646, "acc_stderr": 0.03317128732740283, "acc_norm": 0.6116007890085364, "acc_norm_stderr": 0.03383193418218571, "mc1": 0.3427172582619339, "mc1_stderr": 0.01661494938534704, "mc2": 0.5074425172130677, "mc2_stderr": 0.0164219457298532 }, "harness|arc:challenge|25": { "acc": 0.5708191126279863, "acc_stderr": 0.014464085894870653, "acc_norm": 0.6006825938566553, "acc_norm_stderr": 0.014312094557946705 }, "harness|hellaswag|10": { "acc": 0.58743278231428, "acc_stderr": 0.004912900450370839, "acc_norm": 0.7614021111332404, "acc_norm_stderr": 0.0042535530447077715 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5185185185185185, "acc_stderr": 0.043163785995113245, "acc_norm": 0.5185185185185185, "acc_norm_stderr": 0.043163785995113245 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6776315789473685, "acc_stderr": 0.03803510248351585, "acc_norm": 0.6776315789473685, "acc_norm_stderr": 0.03803510248351585 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.6, "acc_stderr": 0.04923659639173309, "acc_norm": 0.6, "acc_norm_stderr": 0.04923659639173309 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6377358490566037, "acc_stderr": 0.029582245128384303, "acc_norm": 0.6377358490566037, "acc_norm_stderr": 0.029582245128384303 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6805555555555556, "acc_stderr": 0.038990736873573344, "acc_norm": 0.6805555555555556, "acc_norm_stderr": 0.038990736873573344 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6011560693641619, "acc_stderr": 0.037336266553835096, "acc_norm": 0.6011560693641619, "acc_norm_stderr": 0.037336266553835096 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.3627450980392157, "acc_stderr": 0.04784060704105654, "acc_norm": 0.3627450980392157, "acc_norm_stderr": 0.04784060704105654 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5659574468085107, "acc_stderr": 0.03240038086792747, "acc_norm": 0.5659574468085107, "acc_norm_stderr": 0.03240038086792747 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4298245614035088, "acc_stderr": 0.04657047260594961, "acc_norm": 0.4298245614035088, "acc_norm_stderr": 0.04657047260594961 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.593103448275862, "acc_stderr": 0.04093793981266236, "acc_norm": 0.593103448275862, "acc_norm_stderr": 0.04093793981266236 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4656084656084656, "acc_stderr": 0.025690321762493838, "acc_norm": 0.4656084656084656, "acc_norm_stderr": 0.025690321762493838 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.42857142857142855, "acc_stderr": 0.04426266681379909, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.04426266681379909 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7451612903225806, "acc_stderr": 0.024790118459332208, "acc_norm": 0.7451612903225806, "acc_norm_stderr": 0.024790118459332208 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5517241379310345, "acc_stderr": 0.034991131376767445, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.034991131376767445 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.68, "acc_stderr": 0.04688261722621504, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.696969696969697, "acc_stderr": 0.03588624800091706, "acc_norm": 0.696969696969697, "acc_norm_stderr": 0.03588624800091706 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7575757575757576, "acc_stderr": 0.030532892233932046, "acc_norm": 0.7575757575757576, "acc_norm_stderr": 0.030532892233932046 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.844559585492228, "acc_stderr": 0.026148483469153314, "acc_norm": 0.844559585492228, "acc_norm_stderr": 0.026148483469153314 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6205128205128205, "acc_stderr": 0.024603626924097417, "acc_norm": 0.6205128205128205, "acc_norm_stderr": 0.024603626924097417 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.4185185185185185, "acc_stderr": 0.03007801307502206, "acc_norm": 0.4185185185185185, "acc_norm_stderr": 0.03007801307502206 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6890756302521008, "acc_stderr": 0.03006676158297792, "acc_norm": 0.6890756302521008, "acc_norm_stderr": 0.03006676158297792 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.32450331125827814, "acc_stderr": 0.03822746937658752, "acc_norm": 0.32450331125827814, "acc_norm_stderr": 0.03822746937658752 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8110091743119267, "acc_stderr": 0.016785481159203627, "acc_norm": 0.8110091743119267, "acc_norm_stderr": 0.016785481159203627 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4583333333333333, "acc_stderr": 0.03398110890294636, "acc_norm": 0.4583333333333333, "acc_norm_stderr": 0.03398110890294636 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7598039215686274, "acc_stderr": 0.02998373305591362, "acc_norm": 0.7598039215686274, "acc_norm_stderr": 0.02998373305591362 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7510548523206751, "acc_stderr": 0.028146970599422644, "acc_norm": 0.7510548523206751, "acc_norm_stderr": 0.028146970599422644 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.7085201793721974, "acc_stderr": 0.030500283176545854, "acc_norm": 0.7085201793721974, "acc_norm_stderr": 0.030500283176545854 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6870229007633588, "acc_stderr": 0.04066962905677697, "acc_norm": 0.6870229007633588, "acc_norm_stderr": 0.04066962905677697 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8016528925619835, "acc_stderr": 0.03640118271990946, "acc_norm": 0.8016528925619835, "acc_norm_stderr": 0.03640118271990946 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.75, "acc_stderr": 0.04186091791394607, "acc_norm": 0.75, "acc_norm_stderr": 0.04186091791394607 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7484662576687117, "acc_stderr": 0.034089978868575295, "acc_norm": 0.7484662576687117, "acc_norm_stderr": 0.034089978868575295 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.48214285714285715, "acc_stderr": 0.047427623612430116, "acc_norm": 0.48214285714285715, "acc_norm_stderr": 0.047427623612430116 }, "harness|hendrycksTest-management|5": { "acc": 0.7669902912621359, "acc_stderr": 0.04185832598928315, "acc_norm": 0.7669902912621359, "acc_norm_stderr": 0.04185832598928315 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8461538461538461, "acc_stderr": 0.02363687331748929, "acc_norm": 0.8461538461538461, "acc_norm_stderr": 0.02363687331748929 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7675606641123882, "acc_stderr": 0.015104550008905713, "acc_norm": 0.7675606641123882, "acc_norm_stderr": 0.015104550008905713 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6416184971098265, "acc_stderr": 0.025816756791584204, "acc_norm": 0.6416184971098265, "acc_norm_stderr": 0.025816756791584204 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.23128491620111732, "acc_stderr": 0.014102223623152573, "acc_norm": 0.23128491620111732, "acc_norm_stderr": 0.014102223623152573 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6830065359477124, "acc_stderr": 0.02664327847450875, "acc_norm": 0.6830065359477124, "acc_norm_stderr": 0.02664327847450875 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6559485530546624, "acc_stderr": 0.026981478043648043, "acc_norm": 0.6559485530546624, "acc_norm_stderr": 0.026981478043648043 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6358024691358025, "acc_stderr": 0.02677492989972234, "acc_norm": 0.6358024691358025, "acc_norm_stderr": 0.02677492989972234 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4716312056737589, "acc_stderr": 0.029779450957303062, "acc_norm": 0.4716312056737589, "acc_norm_stderr": 0.029779450957303062 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.44198174706649285, "acc_stderr": 0.01268397251359881, "acc_norm": 0.44198174706649285, "acc_norm_stderr": 0.01268397251359881 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5183823529411765, "acc_stderr": 0.030352303395351964, "acc_norm": 0.5183823529411765, "acc_norm_stderr": 0.030352303395351964 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.5996732026143791, "acc_stderr": 0.01982184368827176, "acc_norm": 0.5996732026143791, "acc_norm_stderr": 0.01982184368827176 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7363636363636363, "acc_stderr": 0.04220224692971987, "acc_norm": 0.7363636363636363, "acc_norm_stderr": 0.04220224692971987 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.726530612244898, "acc_stderr": 0.02853556033712844, "acc_norm": 0.726530612244898, "acc_norm_stderr": 0.02853556033712844 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8159203980099502, "acc_stderr": 0.027403859410786845, "acc_norm": 0.8159203980099502, "acc_norm_stderr": 0.027403859410786845 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-virology|5": { "acc": 0.5060240963855421, "acc_stderr": 0.03892212195333047, "acc_norm": 0.5060240963855421, "acc_norm_stderr": 0.03892212195333047 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.7894736842105263, "acc_stderr": 0.03126781714663179, "acc_norm": 0.7894736842105263, "acc_norm_stderr": 0.03126781714663179 }, "harness|truthfulqa:mc|0": { "mc1": 0.3427172582619339, "mc1_stderr": 0.01661494938534704, "mc2": 0.5074425172130677, "mc2_stderr": 0.0164219457298532 }, "harness|winogrande|5": { "acc": 0.696921862667719, "acc_stderr": 0.01291672746263446 }, "harness|gsm8k|5": { "acc": 0.42987111448066717, "acc_stderr": 0.013636344017393736 } } ``` ## 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 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原始信息汇总

数据集概述

该数据集是在对模型 google/gemma-1.1-7b-it 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。
  • 一个额外的配置 "results" 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_google__gemma-1.1-7b-it", "harness_winogrande_5", split="train")

最新结果

以下是 2024-04-15T12:58:48.766553 运行的最新结果

python { "all": { "acc": 0.606678798665646, "acc_stderr": 0.03317128732740283, "acc_norm": 0.6116007890085364, "acc_norm_stderr": 0.03383193418218571, "mc1": 0.3427172582619339, "mc1_stderr": 0.01661494938534704, "mc2": 0.5074425172130677, "mc2_stderr": 0.0164219457298532 }, "harness|arc:challenge|25": { "acc": 0.5708191126279863, "acc_stderr": 0.014464085894870653, "acc_norm": 0.6006825938566553, "acc_norm_stderr": 0.014312094557946705 }, "harness|hellaswag|10": { "acc": 0.58743278231428, "acc_stderr": 0.004912900450370839, "acc_norm": 0.7614021111332404, "acc_norm_stderr": 0.0042535530447077715 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5185185185185185, "acc_stderr": 0.043163785995113245, "acc_norm": 0.5185185185185185, "acc_norm_stderr": 0.043163785995113245 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6776315789473685, "acc_stderr": 0.03803510248351585, "acc_norm": 0.6776315789473685, "acc_norm_stderr": 0.03803510248351585 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.6, "acc_stderr": 0.04923659639173309, "acc_norm": 0.6, "acc_norm_stderr": 0.04923659639173309 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6377358490566037, "acc_stderr": 0.029582245128384303, "acc_norm": 0.6377358490566037, "acc_norm_stderr": 0.029582245128384303 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6805555555555556, "acc_stderr": 0.038990736873573344, "acc_norm": 0.6805555555555556, "acc_norm_stderr": 0.038990736873573344 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6011560693641619, "acc_stderr": 0.037336266553835096, "acc_norm": 0.6011560693641619, "acc_norm_stderr": 0.037336266553835096 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.3627450980392157, "acc_stderr": 0.04784060704105654, "acc_norm": 0.3627450980392157, "acc_norm_stderr": 0.04784060704105654 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5659574468085107, "acc_stderr": 0.03240038086792747, "acc_norm": 0.5659574468085107, "acc_norm_stderr": 0.03240038086792747 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4298245614035088, "acc_stderr": 0.04657047260594961, "acc_norm": 0.4298245614035088, "acc_norm_stderr": 0.04657047260594961 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.593103448275862, "acc_stderr": 0.04093793981266236, "acc_norm": 0.593103448275862, "acc_norm_stderr": 0.04093793981266236 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4656084656084656, "acc_stderr": 0.025690321762493838, "acc_norm": 0.4656084656084656, "acc_norm_stderr": 0.025690321762493838 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.42857142857142855, "acc_stderr": 0.04426266681379909, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.04426266681379909 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7451612903225806, "acc_stderr": 0.024790118459332208, "acc_norm": 0.7451612903225806, "acc_norm_stderr": 0.024790118459332208 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5517241379310345, "acc_stderr": 0.034991131376767445, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.034991131376767445 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.68, "acc_stderr": 0.04688261722621504, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.696969696969697, "acc_stderr": 0.03588624800091706, "acc_norm": 0.696969696969697, "acc_norm_stderr": 0.03588624800091706 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7575757575757576, "acc_stderr": 0.030532892233932046, "acc_norm": 0.7575757575757576, "acc_norm_stderr": 0.030532892233932046 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.844559585492228, "acc_stderr": 0.026148483469153314, "acc_norm": 0.844559585492228, "acc_norm_stderr": 0.026148483469153314 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6205128205128205, "acc_stderr": 0.024603626924097417, "acc_norm": 0.6205128205128205, "acc_norm_stderr": 0.024603626924097417 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.4185185185185185, "acc_stderr": 0.03007801307502206, "acc_norm": 0.4185185185185185, "acc_norm_stderr": 0.03007801307502206 },

搜集汇总
数据集介绍
main_image_url
构建方式
在大型语言模型评估领域,该数据集是专为记录和分享模型在Open LLM Leaderboard上的评测结果而自动构建的。它源于对google/gemma-1.1-7b-it模型的一次完整评估运行,系统性地将评测过程中产生的详细数据以结构化形式加以保存。数据集包含63个配置项,每个配置对应一个独立的评估任务,涵盖了从常识推理到专业知识等多个维度的测试。运行时间戳被用作划分数据集的依据,每个运行结果对应一个独立的数据分割,而名为“train”的分割则始终指向最新一次的评测结果。此外,一个名为“results”的专门配置被设计用于存储所有任务的聚合指标,为排行榜上综合分数的计算与展示提供支撑。数据文件采用Parquet格式存储,便于高效读写。
使用方法
使用该数据集进行深入分析时,研究者可以借助Hugging Face的datasets库便捷地加载所需内容。通过指定数据集标识符、目标任务配置名称以及所需的数据分割(如‘train’),即可获取特定任务在最新一次运行中的详细评测记录。例如,加载Winogrande任务的评估细节,只需调用load_dataset函数并传入对应的配置名和分割参数。若需分析历史运行数据,则可以利用具体的时间戳分割名称进行访问。数据加载后返回的结构化对象包含了模型在每个样本上的预测结果和真实标签,用户可基于此进行自定义的错误分析、性能对比或可视化展示,从而深入理解模型在不同任务上的优势与局限。
背景与挑战
背景概述
在大型语言模型(LLM)迅猛发展的浪潮中,如何系统、公正地评估模型的多维能力成为学界与工业界的核心关切。Open LLM Leaderboard应运而生,由Hugging Face团队于2023年创建,旨在为开源社区提供一个标准化、透明化的模型性能竞技平台。该数据集聚焦于Google发布的Gemma-1.1-7b-it模型,通过涵盖常识推理、数学求解、知识问答及伦理判断等63项多样化任务(如ARC-Challenge、HellaSwag、GSM8K及MMLU子集),对模型进行全方位评测。其核心研究问题在于揭示指令微调后的7B参数模型在零样本场景下的泛化边界与能力短板。作为开源社区的重要基准,该数据集推动了模型间的公平比较,为后续优化提供了量化依据,深刻影响了LLM评估范式的演进。
当前挑战
该数据集所面临的挑战首先源于LLM评估本身的复杂性:单一任务难以全面反映模型的真实能力,而多任务聚合评测虽能提供宏观视角,却可能掩盖模型在特定领域(如形式逻辑、高等数学)的显著弱点,导致能力表征失真。在构建过程中,挑战同样严峻:不同任务的数据格式、评价指标(如准确率、归一化准确率、多选一致性)需统一标准化,但任务间的难度差异与评分尺度不齐,使得聚合分数的解释力存疑。此外,评测结果的时效性构成另一难题——模型迭代速度远超数据集更新周期,旧有评测数据可能无法准确反映最新模型的能力天花板,从而削弱了排行榜的参考价值与公信力。
常用场景
经典使用场景
在自然语言处理与大规模语言模型的评估领域,该数据集作为Open LLM Leaderboard的评测记录,为研究者提供了对Gemma 1.1 7B指令微调模型性能的细粒度剖析。其经典使用场景在于系统性地记录模型在63个不同配置任务上的表现,涵盖从常识推理(如ARC Challenge、HellaSwag)到数学解题(GSM8K)乃至多学科知识(MMLU)的广泛维度。每个配置下的详细指标,包括准确率及其标准误,使得研究者能够精准定位模型的能力边界与薄弱环节,从而为模型迭代提供数据驱动的改进方向。
解决学术问题
该数据集有效解决了大语言模型评估中普遍存在的标准化与可复现性难题。通过统一记录模型在多样化基准上的原始结果,它消除了不同研究之间因评估流程差异导致的比较障碍。学术研究者得以借助这些结构化数据,深入探究指令微调对模型泛化能力的影响,例如分析Gemma 1.1 7B在零样本与少样本场景下的表现差异。其意义在于为模型能力的横向对比提供了透明、可验证的基准,推动了语言模型评测范式的规范化与科学化。
实际应用
在实际应用中,该数据集为模型选型与部署决策提供了关键参考。开发团队可依据其中记录的模型在数学推理、世界知识等任务上的准确率,评估Gemma 1.1 7B是否适配于特定业务场景,如教育辅导或知识问答系统。此外,该数据集中的错误分析数据能够辅助工程人员识别模型在逻辑推理或专业领域上的不足,从而指导微调策略或提示工程的设计,提升下游应用的实际效能与可靠性。
数据集最近研究
最新研究方向
当前,大语言模型评估领域的前沿研究正聚焦于构建标准化、多维度的评测体系,以系统性地衡量模型在复杂推理、世界知识与伦理判断等维度的综合能力。Google Gemma-1.1-7b-it模型在Open LLM Leaderboard上的评测数据集,正是这一趋势的典型实践。该数据集覆盖了从ARC挑战赛、HellaSwag常识推理到涵盖57个学科的MMLU基准测试,以及TruthfulQA真实性评估和GSM8K数学推理等任务,其评测结果揭示了模型在抽象代数、大学数学等严谨学科上表现有限,而在高中政府与政治、市场营销等社会科学领域展现出较高准确率。这种细粒度的能力画像,不仅为开发者提供了精准的优化方向,更推动了行业从单一指标竞赛向多维度能力均衡发展的范式转变,对于引导负责任的AI研发具有里程碑式的意义。
以上内容由遇见数据集搜集并总结生成
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