open-llm-leaderboard-old/details_rishiraj__meow

--- pretty_name: Evaluation run of rishiraj/meow dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [rishiraj/meow](https://huggingface.co/rishiraj/meow) 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_rishiraj__meow\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-16T15:20:46.406514](https://huggingface.co/datasets/open-llm-leaderboard/details_rishiraj__meow/blob/main/results_2023-12-16T15-20-46.406514.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\": 0.6659075802656755,\n\ \ \"acc_stderr\": 0.03161178751169912,\n \"acc_norm\": 0.6668721921879325,\n\ \ \"acc_norm_stderr\": 0.03225461857791198,\n \"mc1\": 0.5593635250917993,\n\ \ \"mc1_stderr\": 0.01737969755543745,\n \"mc2\": 0.7048535292691931,\n\ \ \"mc2_stderr\": 0.015073637165798839\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6732081911262798,\n \"acc_stderr\": 0.013706665975587335,\n\ \ \"acc_norm\": 0.7047781569965871,\n \"acc_norm_stderr\": 0.013329750293382321\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7040430193188608,\n\ \ \"acc_stderr\": 0.004555388371756656,\n \"acc_norm\": 0.8808006373232424,\n\ \ \"acc_norm_stderr\": 0.0032336074238899864\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.6074074074074074,\n\ \ \"acc_stderr\": 0.04218506215368879,\n \"acc_norm\": 0.6074074074074074,\n\ \ \"acc_norm_stderr\": 0.04218506215368879\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.7302631578947368,\n \"acc_stderr\": 0.03611780560284898,\n\ \ \"acc_norm\": 0.7302631578947368,\n \"acc_norm_stderr\": 0.03611780560284898\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.75,\n\ \ \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n \ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.690566037735849,\n \"acc_stderr\": 0.02845015479411864,\n\ \ \"acc_norm\": 0.690566037735849,\n \"acc_norm_stderr\": 0.02845015479411864\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.03476590104304134,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.03476590104304134\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ : 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|5\"\ : {\n \"acc\": 0.53,\n \"acc_stderr\": 0.05016135580465919,\n \ \ \"acc_norm\": 0.53,\n \"acc_norm_stderr\": 0.05016135580465919\n \ \ },\n \"harness|hendrycksTest-college_mathematics|5\": {\n \"acc\": 0.31,\n\ \ \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.31,\n \ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-college_medicine|5\"\ : {\n \"acc\": 0.6589595375722543,\n \"acc_stderr\": 0.03614665424180826,\n\ \ \"acc_norm\": 0.6589595375722543,\n \"acc_norm_stderr\": 0.03614665424180826\n\ \ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.38235294117647056,\n\ \ \"acc_stderr\": 0.04835503696107223,\n \"acc_norm\": 0.38235294117647056,\n\ \ \"acc_norm_stderr\": 0.04835503696107223\n },\n \"harness|hendrycksTest-computer_security|5\"\ : {\n \"acc\": 0.77,\n \"acc_stderr\": 0.04229525846816507,\n \ \ \"acc_norm\": 0.77,\n \"acc_norm_stderr\": 0.04229525846816507\n \ \ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.6297872340425532,\n\ \ \"acc_stderr\": 0.03156564682236785,\n \"acc_norm\": 0.6297872340425532,\n\ \ \"acc_norm_stderr\": 0.03156564682236785\n },\n \"harness|hendrycksTest-econometrics|5\"\ : {\n \"acc\": 0.4824561403508772,\n \"acc_stderr\": 0.04700708033551038,\n\ \ \"acc_norm\": 0.4824561403508772,\n \"acc_norm_stderr\": 0.04700708033551038\n\ \ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\ : 0.6206896551724138,\n \"acc_stderr\": 0.04043461861916747,\n \"\ acc_norm\": 0.6206896551724138,\n \"acc_norm_stderr\": 0.04043461861916747\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.47619047619047616,\n \"acc_stderr\": 0.025722097064388535,\n \"\ acc_norm\": 0.47619047619047616,\n \"acc_norm_stderr\": 0.025722097064388535\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4444444444444444,\n\ \ \"acc_stderr\": 0.044444444444444495,\n \"acc_norm\": 0.4444444444444444,\n\ \ \"acc_norm_stderr\": 0.044444444444444495\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.048241815132442176,\n \ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.048241815132442176\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.8096774193548387,\n \"acc_stderr\": 0.022331707611823074,\n \"\ acc_norm\": 0.8096774193548387,\n \"acc_norm_stderr\": 0.022331707611823074\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.5024630541871922,\n \"acc_stderr\": 0.03517945038691063,\n \"\ acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.03517945038691063\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \"acc_norm\"\ : 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.8121212121212121,\n \"acc_stderr\": 0.03050193405942914,\n\ \ \"acc_norm\": 0.8121212121212121,\n \"acc_norm_stderr\": 0.03050193405942914\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8737373737373737,\n \"acc_stderr\": 0.02366435940288023,\n \"\ acc_norm\": 0.8737373737373737,\n \"acc_norm_stderr\": 0.02366435940288023\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9067357512953368,\n \"acc_stderr\": 0.02098685459328973,\n\ \ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.02098685459328973\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6564102564102564,\n \"acc_stderr\": 0.02407869658063547,\n \ \ \"acc_norm\": 0.6564102564102564,\n \"acc_norm_stderr\": 0.02407869658063547\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.36666666666666664,\n \"acc_stderr\": 0.029381620726465073,\n \ \ \"acc_norm\": 0.36666666666666664,\n \"acc_norm_stderr\": 0.029381620726465073\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.7184873949579832,\n \"acc_stderr\": 0.029213549414372174,\n\ \ \"acc_norm\": 0.7184873949579832,\n \"acc_norm_stderr\": 0.029213549414372174\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3708609271523179,\n \"acc_stderr\": 0.03943966699183629,\n \"\ acc_norm\": 0.3708609271523179,\n \"acc_norm_stderr\": 0.03943966699183629\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8477064220183487,\n \"acc_stderr\": 0.015405084393157074,\n \"\ acc_norm\": 0.8477064220183487,\n \"acc_norm_stderr\": 0.015405084393157074\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5601851851851852,\n \"acc_stderr\": 0.0338517797604481,\n \"acc_norm\"\ : 0.5601851851851852,\n \"acc_norm_stderr\": 0.0338517797604481\n },\n\ \ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.8382352941176471,\n\ \ \"acc_stderr\": 0.025845017986926917,\n \"acc_norm\": 0.8382352941176471,\n\ \ \"acc_norm_stderr\": 0.025845017986926917\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\ : {\n \"acc\": 0.8565400843881856,\n \"acc_stderr\": 0.022818291821017012,\n\ \ \"acc_norm\": 0.8565400843881856,\n \"acc_norm_stderr\": 0.022818291821017012\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6860986547085202,\n\ \ \"acc_stderr\": 0.03114679648297246,\n \"acc_norm\": 0.6860986547085202,\n\ \ \"acc_norm_stderr\": 0.03114679648297246\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7404580152671756,\n \"acc_stderr\": 0.03844876139785271,\n\ \ \"acc_norm\": 0.7404580152671756,\n \"acc_norm_stderr\": 0.03844876139785271\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7870370370370371,\n\ \ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.7870370370370371,\n\ \ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7484662576687117,\n \"acc_stderr\": 0.03408997886857529,\n\ \ \"acc_norm\": 0.7484662576687117,\n \"acc_norm_stderr\": 0.03408997886857529\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4642857142857143,\n\ \ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\ \ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8349514563106796,\n \"acc_stderr\": 0.03675668832233188,\n\ \ \"acc_norm\": 0.8349514563106796,\n \"acc_norm_stderr\": 0.03675668832233188\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8589743589743589,\n\ \ \"acc_stderr\": 0.022801382534597528,\n \"acc_norm\": 0.8589743589743589,\n\ \ \"acc_norm_stderr\": 0.022801382534597528\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8071519795657727,\n\ \ \"acc_stderr\": 0.014108533515757431,\n \"acc_norm\": 0.8071519795657727,\n\ \ \"acc_norm_stderr\": 0.014108533515757431\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7630057803468208,\n \"acc_stderr\": 0.02289408248992599,\n\ \ \"acc_norm\": 0.7630057803468208,\n \"acc_norm_stderr\": 0.02289408248992599\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3743016759776536,\n\ \ \"acc_stderr\": 0.01618544417945717,\n \"acc_norm\": 0.3743016759776536,\n\ \ \"acc_norm_stderr\": 0.01618544417945717\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7679738562091504,\n \"acc_stderr\": 0.024170840879340863,\n\ \ \"acc_norm\": 0.7679738562091504,\n \"acc_norm_stderr\": 0.024170840879340863\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7331189710610932,\n\ \ \"acc_stderr\": 0.025122637608816643,\n \"acc_norm\": 0.7331189710610932,\n\ \ \"acc_norm_stderr\": 0.025122637608816643\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7870370370370371,\n \"acc_stderr\": 0.022779719088733396,\n\ \ \"acc_norm\": 0.7870370370370371,\n \"acc_norm_stderr\": 0.022779719088733396\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.5070921985815603,\n \"acc_stderr\": 0.02982449855912901,\n \ \ \"acc_norm\": 0.5070921985815603,\n \"acc_norm_stderr\": 0.02982449855912901\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.49022164276401564,\n\ \ \"acc_stderr\": 0.012767793787729338,\n \"acc_norm\": 0.49022164276401564,\n\ \ \"acc_norm_stderr\": 0.012767793787729338\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.7389705882352942,\n \"acc_stderr\": 0.026679252270103128,\n\ \ \"acc_norm\": 0.7389705882352942,\n \"acc_norm_stderr\": 0.026679252270103128\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.696078431372549,\n \"acc_stderr\": 0.018607552131279827,\n \ \ \"acc_norm\": 0.696078431372549,\n \"acc_norm_stderr\": 0.018607552131279827\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7,\n\ \ \"acc_stderr\": 0.04389311454644287,\n \"acc_norm\": 0.7,\n \ \ \"acc_norm_stderr\": 0.04389311454644287\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.746938775510204,\n \"acc_stderr\": 0.027833023871399677,\n\ \ \"acc_norm\": 0.746938775510204,\n \"acc_norm_stderr\": 0.027833023871399677\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\ \ \"acc_stderr\": 0.026193923544454125,\n \"acc_norm\": 0.835820895522388,\n\ \ \"acc_norm_stderr\": 0.026193923544454125\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.91,\n \"acc_stderr\": 0.028762349126466125,\n \ \ \"acc_norm\": 0.91,\n \"acc_norm_stderr\": 0.028762349126466125\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5783132530120482,\n\ \ \"acc_stderr\": 0.038444531817709175,\n \"acc_norm\": 0.5783132530120482,\n\ \ \"acc_norm_stderr\": 0.038444531817709175\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\": 0.5593635250917993,\n\ \ \"mc1_stderr\": 0.01737969755543745,\n \"mc2\": 0.7048535292691931,\n\ \ \"mc2_stderr\": 0.015073637165798839\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8342541436464088,\n \"acc_stderr\": 0.010450899545370634\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6489764973464746,\n \ \ \"acc_stderr\": 0.013146945941397228\n }\n}\n```" repo_url: https://huggingface.co/rishiraj/meow 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: 2023_12_16T15_20_46.406514 path: - '**/details_harness|arc:challenge|25_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-16T15-20-46.406514.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|gsm8k|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hellaswag|10_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-16T15-20-46.406514.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-management|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T15-20-46.406514.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|truthfulqa:mc|0_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-16T15-20-46.406514.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_16T15_20_46.406514 path: - '**/details_harness|winogrande|5_2023-12-16T15-20-46.406514.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-16T15-20-46.406514.parquet' - config_name: results data_files: - split: 2023_12_16T15_20_46.406514 path: - results_2023-12-16T15-20-46.406514.parquet - split: latest path: - results_2023-12-16T15-20-46.406514.parquet --- # Dataset Card for Evaluation run of rishiraj/meow <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [rishiraj/meow](https://huggingface.co/rishiraj/meow) 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_rishiraj__meow", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-16T15:20:46.406514](https://huggingface.co/datasets/open-llm-leaderboard/details_rishiraj__meow/blob/main/results_2023-12-16T15-20-46.406514.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": 0.6659075802656755, "acc_stderr": 0.03161178751169912, "acc_norm": 0.6668721921879325, "acc_norm_stderr": 0.03225461857791198, "mc1": 0.5593635250917993, "mc1_stderr": 0.01737969755543745, "mc2": 0.7048535292691931, "mc2_stderr": 0.015073637165798839 }, "harness|arc:challenge|25": { "acc": 0.6732081911262798, "acc_stderr": 0.013706665975587335, "acc_norm": 0.7047781569965871, "acc_norm_stderr": 0.013329750293382321 }, "harness|hellaswag|10": { "acc": 0.7040430193188608, "acc_stderr": 0.004555388371756656, "acc_norm": 0.8808006373232424, "acc_norm_stderr": 0.0032336074238899864 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6074074074074074, "acc_stderr": 0.04218506215368879, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.04218506215368879 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7302631578947368, "acc_stderr": 0.03611780560284898, "acc_norm": 0.7302631578947368, "acc_norm_stderr": 0.03611780560284898 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.690566037735849, "acc_stderr": 0.02845015479411864, "acc_norm": 0.690566037735849, "acc_norm_stderr": 0.02845015479411864 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7777777777777778, "acc_stderr": 0.03476590104304134, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.03476590104304134 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6589595375722543, "acc_stderr": 0.03614665424180826, "acc_norm": 0.6589595375722543, "acc_norm_stderr": 0.03614665424180826 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107223, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107223 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.77, "acc_stderr": 0.04229525846816507, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816507 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6297872340425532, "acc_stderr": 0.03156564682236785, "acc_norm": 0.6297872340425532, "acc_norm_stderr": 0.03156564682236785 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4824561403508772, "acc_stderr": 0.04700708033551038, "acc_norm": 0.4824561403508772, "acc_norm_stderr": 0.04700708033551038 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6206896551724138, "acc_stderr": 0.04043461861916747, "acc_norm": 0.6206896551724138, "acc_norm_stderr": 0.04043461861916747 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.47619047619047616, "acc_stderr": 0.025722097064388535, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.025722097064388535 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4444444444444444, "acc_stderr": 0.044444444444444495, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.044444444444444495 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.36, "acc_stderr": 0.048241815132442176, "acc_norm": 0.36, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8096774193548387, "acc_stderr": 0.022331707611823074, "acc_norm": 0.8096774193548387, "acc_norm_stderr": 0.022331707611823074 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5024630541871922, "acc_stderr": 0.03517945038691063, "acc_norm": 0.5024630541871922, "acc_norm_stderr": 0.03517945038691063 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.72, "acc_stderr": 0.04512608598542128, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8121212121212121, "acc_stderr": 0.03050193405942914, "acc_norm": 0.8121212121212121, "acc_norm_stderr": 0.03050193405942914 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8737373737373737, "acc_stderr": 0.02366435940288023, "acc_norm": 0.8737373737373737, "acc_norm_stderr": 0.02366435940288023 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9067357512953368, "acc_stderr": 0.02098685459328973, "acc_norm": 0.9067357512953368, "acc_norm_stderr": 0.02098685459328973 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6564102564102564, "acc_stderr": 0.02407869658063547, "acc_norm": 0.6564102564102564, "acc_norm_stderr": 0.02407869658063547 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.36666666666666664, "acc_stderr": 0.029381620726465073, "acc_norm": 0.36666666666666664, "acc_norm_stderr": 0.029381620726465073 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.7184873949579832, "acc_stderr": 0.029213549414372174, "acc_norm": 0.7184873949579832, "acc_norm_stderr": 0.029213549414372174 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3708609271523179, "acc_stderr": 0.03943966699183629, "acc_norm": 0.3708609271523179, "acc_norm_stderr": 0.03943966699183629 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8477064220183487, "acc_stderr": 0.015405084393157074, "acc_norm": 0.8477064220183487, "acc_norm_stderr": 0.015405084393157074 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5601851851851852, "acc_stderr": 0.0338517797604481, "acc_norm": 0.5601851851851852, "acc_norm_stderr": 0.0338517797604481 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8382352941176471, "acc_stderr": 0.025845017986926917, "acc_norm": 0.8382352941176471, "acc_norm_stderr": 0.025845017986926917 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8565400843881856, "acc_stderr": 0.022818291821017012, "acc_norm": 0.8565400843881856, "acc_norm_stderr": 0.022818291821017012 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6860986547085202, "acc_stderr": 0.03114679648297246, "acc_norm": 0.6860986547085202, "acc_norm_stderr": 0.03114679648297246 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7404580152671756, "acc_stderr": 0.03844876139785271, "acc_norm": 0.7404580152671756, "acc_norm_stderr": 0.03844876139785271 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7933884297520661, "acc_stderr": 0.03695980128098824, "acc_norm": 0.7933884297520661, "acc_norm_stderr": 0.03695980128098824 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7870370370370371, "acc_stderr": 0.0395783547198098, "acc_norm": 0.7870370370370371, "acc_norm_stderr": 0.0395783547198098 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7484662576687117, "acc_stderr": 0.03408997886857529, "acc_norm": 0.7484662576687117, "acc_norm_stderr": 0.03408997886857529 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4642857142857143, "acc_stderr": 0.04733667890053756, "acc_norm": 0.4642857142857143, "acc_norm_stderr": 0.04733667890053756 }, "harness|hendrycksTest-management|5": { "acc": 0.8349514563106796, "acc_stderr": 0.03675668832233188, "acc_norm": 0.8349514563106796, "acc_norm_stderr": 0.03675668832233188 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8589743589743589, "acc_stderr": 0.022801382534597528, "acc_norm": 0.8589743589743589, "acc_norm_stderr": 0.022801382534597528 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8071519795657727, "acc_stderr": 0.014108533515757431, "acc_norm": 0.8071519795657727, "acc_norm_stderr": 0.014108533515757431 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7630057803468208, "acc_stderr": 0.02289408248992599, "acc_norm": 0.7630057803468208, "acc_norm_stderr": 0.02289408248992599 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.3743016759776536, "acc_stderr": 0.01618544417945717, "acc_norm": 0.3743016759776536, "acc_norm_stderr": 0.01618544417945717 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7679738562091504, "acc_stderr": 0.024170840879340863, "acc_norm": 0.7679738562091504, "acc_norm_stderr": 0.024170840879340863 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7331189710610932, "acc_stderr": 0.025122637608816643, "acc_norm": 0.7331189710610932, "acc_norm_stderr": 0.025122637608816643 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7870370370370371, "acc_stderr": 0.022779719088733396, "acc_norm": 0.7870370370370371, "acc_norm_stderr": 0.022779719088733396 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.5070921985815603, "acc_stderr": 0.02982449855912901, "acc_norm": 0.5070921985815603, "acc_norm_stderr": 0.02982449855912901 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.49022164276401564, "acc_stderr": 0.012767793787729338, "acc_norm": 0.49022164276401564, "acc_norm_stderr": 0.012767793787729338 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.7389705882352942, "acc_stderr": 0.026679252270103128, "acc_norm": 0.7389705882352942, "acc_norm_stderr": 0.026679252270103128 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.696078431372549, "acc_stderr": 0.018607552131279827, "acc_norm": 0.696078431372549, "acc_norm_stderr": 0.018607552131279827 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7, "acc_stderr": 0.04389311454644287, "acc_norm": 0.7, "acc_norm_stderr": 0.04389311454644287 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.746938775510204, "acc_stderr": 0.027833023871399677, "acc_norm": 0.746938775510204, "acc_norm_stderr": 0.027833023871399677 }, "harness|hendrycksTest-sociology|5": { "acc": 0.835820895522388, "acc_stderr": 0.026193923544454125, "acc_norm": 0.835820895522388, "acc_norm_stderr": 0.026193923544454125 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.91, "acc_stderr": 0.028762349126466125, "acc_norm": 0.91, "acc_norm_stderr": 0.028762349126466125 }, "harness|hendrycksTest-virology|5": { "acc": 0.5783132530120482, "acc_stderr": 0.038444531817709175, "acc_norm": 0.5783132530120482, "acc_norm_stderr": 0.038444531817709175 }, "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": 0.5593635250917993, "mc1_stderr": 0.01737969755543745, "mc2": 0.7048535292691931, "mc2_stderr": 0.015073637165798839 }, "harness|winogrande|5": { "acc": 0.8342541436464088, "acc_stderr": 0.010450899545370634 }, "harness|gsm8k|5": { "acc": 0.6489764973464746, "acc_stderr": 0.013146945941397228 } } ``` ## 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 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原始信息汇总

数据集概述

数据集基本信息

• 名称: Evaluation run of rishiraj/meow
• 来源: 自动创建于模型 rishiraj/meow 在 Open LLM Leaderboard 的评估运行期间。
• 组成: 包含63个配置，每个配置对应一个评估任务。
• 创建: 从1次运行中创建，每个运行在每个配置中作为一个特定的分割存在，分割名称使用运行的时间戳。"train" 分割始终指向最新的结果。
• 额外配置: "results" 配置存储所有运行的聚合结果，用于计算和显示 Open LLM Leaderboard 上的聚合指标。

数据加载示例

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

最新结果

• 最新结果时间戳: 2023-12-16T15:20:46.406514
• 结果示例: python { "all": { "acc": 0.6659075802656755, "acc_stderr": 0.03161178751169912, "acc_norm": 0.6668721921879325, "acc_norm_stderr": 0.03225461857791198, "mc1": 0.5593635250917993, "mc1_stderr": 0.01737969755543745, "mc2": 0.7048535292691931, "mc2_stderr": 0.015073637165798839 }, "harness|arc:challenge|25": { "acc": 0.6732081911262798, "acc_stderr": 0.013706665975587335, "acc_norm": 0.7047781569965871, "acc_norm_stderr": 0.013329750293382321 }, "harness|hellaswag|10": { "acc": 0.7040430193188608, "acc_stderr": 0.004555388371756656, "acc_norm": 0.8808006373232424, "acc_norm_stderr": 0.0032336074238899864 },

  更多任务结果...

}

配置详情

• 配置名称: harness_arc_challenge_25

  • 数据文件:
    • 分割: 2023_12_16T15_20_46.406514
      • 路径: **/details_harness|arc:challenge|25_2023-12-16T15-20-46.406514.parquet
    • 分割: latest
      • 路径: **/details_harness|arc:challenge|25_2023-12-16T15-20-46.406514.parquet

• 配置名称: harness_gsm8k_5

  • 数据文件:
    • 分割: 2023_12_16T15_20_46.406514
      • 路径: **/details_harness|gsm8k|5_2023-12-16T15-20-46.406514.parquet
    • 分割: latest
      • 路径: **/details_harness|gsm8k|5_2023-12-16T15-20-46.406514.parquet

• 配置名称: harness_hellaswag_10

  • 数据文件:
    • 分割: 2023_12_16T15_20_46.406514
      • 路径: **/details_harness|hellaswag|10_2023-12-16T15-20-46.406514.parquet
    • 分割: latest
      • 路径: **/details_harness|hellaswag|10_2023-12-16T15-20-46.406514.parquet

• 配置名称: harness_hendrycksTest_5

  • 数据文件:
    • 分割: 2023_12_16T15_20_46.406514
      • 路径:
        • **/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-anatomy|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-astronomy|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-business_ethics|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-college_biology|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-college_medicine|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-college_physics|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-computer_security|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-econometrics|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-formal_logic|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-global_facts|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T15-20-46.406514.parquet
        • **/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T15-20-46.406514.parquet

        更多路径...

搜集汇总

数据集介绍

构建方式

在大型语言模型的评估体系中，Open LLM Leaderboard 扮演着标准化评测平台的角色。该数据集正是为记录模型 rishiraj/meow 在该排行榜上的评测表现而自动构建的。其构建逻辑围绕63个独立配置展开，每个配置对应一项特定的评估任务，涵盖了从常识推理到数学解题的多个维度。数据源自单次评测运行，每次运行的结果被存储为独立的split，并以运行时间戳命名，而'train' split则始终指向最新一次评测的产出。此外，一个名为'results'的独立配置被用来汇总所有评估指标的聚合结果，为排行榜上综合得分的计算与展示提供了数据基础。

使用方法

调用该数据集的过程简洁而直观，主要依赖于HuggingFace的datasets库。用户只需通过 load_dataset 函数，指定数据集名称、目标任务的配置名称以及所需的split，即可加载对应的评测数据。例如，加载Winogrande任务的5-shot评测详情时，可执行 load_dataset("open-llm-leaderboard/details_rishiraj__meow", "harness_winogrande_5", split="train")。这一设计使得研究者能够灵活地提取任意一次评测的原始记录，或便捷地获取最新的评估结果，进而开展深入的误差分析、性能复现或模型改进工作，极大地降低了大规模语言模型评估的门槛。

背景与挑战

背景概述

在大规模语言模型（LLM）蓬勃发展的当下，如何系统、公正地评估模型的多维度能力成为学界与工业界共同关注的焦点。Open LLM Leaderboard应运而生，由Hugging Face团队于2023年创建，旨在为社区提供一个标准化、透明化的模型性能竞技平台。该数据集的诞生源于对模型评估可复现性与可比性的迫切需求，其核心研究问题在于如何通过统一的任务集和评估流程，客观衡量不同模型在推理、常识、知识理解及数学求解等关键能力上的表现。作为Leaderboard的衍生数据集，它记录了模型rishiraj/meow在63个配置任务上的详细评估结果，涵盖ARC挑战赛、HellaSwag、MMLU及GSM8K等基准测试，为后续模型优化与对比研究提供了宝贵的数据支撑，对推动LLM评估体系的规范化发展具有重要意义。

当前挑战

该数据集所解决的领域问题在于，LLM评估长期面临任务碎片化与指标不统一的困境，缺乏一套能够全面反映模型真实能力的综合性评估框架。构建过程中遇到的挑战尤为显著：首先，需确保63个配置任务之间的难度与评分标准保持内在一致性，避免因任务特性差异导致评估偏差；其次，评估结果的时间戳管理要求严格，需在每次运行后生成独立分割，并保证'latest'分割始终指向最新数据，这对数据版本控制与存储架构提出了较高要求；此外，跨任务结果的聚合计算（如综合准确率与标准差）需兼顾统计严谨性与计算效率，同时应对模型输出中可能存在的随机波动，确保最终排名的公平性与稳定性。

常用场景

经典使用场景

在大规模语言模型（LLM）的评估领域，open-llm-leaderboard-old/details_rishiraj__meow 数据集扮演着核心角色。该数据集自动记录并存储了模型 rishiraj/meow 在 Open LLM Leaderboard 上的完整评估流程，涵盖 63 个任务配置，包括 ARC-Challenge、HellaSwag、MMLU 多学科测试、GSM8K 数学推理以及 TruthfulQA 等经典基准。研究者可通过加载特定任务和运行时间戳的分割，直接复现模型在各项指标上的表现，从而进行细粒度的性能比较与分析。这为探究模型在常识推理、知识掌握、数学求解及事实一致性等方面的能力提供了标准化、可追溯的数据基础，成为 LLM 评估与横评工作中的典型数据集范例。

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可复现性与透明度不足的学术难题。传统评估往往依赖手动运行或非标准化记录，导致结果难以精确回溯与验证。此数据集通过自动生成并结构化存储每次评估的详细结果，包括准确率、标准误差以及多种变体指标（如 acc_norm、mc1、mc2），使得研究者能够从细粒度层面剖析模型在不同维度上的表现。它推动了模型评估从粗粒度结果比较向精细化、可复现的学术分析范式转变，为理解 LLM 的能力边界、验证改进方法的有效性以及构建公平的模型排行榜提供了坚实的数据支撑，显著提升了评估过程的科学严谨性。

实际应用

在实际应用中，该数据集为 LLM 的研发迭代和选型部署提供了直接且高效的决策依据。企业和研究机构在开发或选择模型时，可以利用此数据集快速对比 rishiraj/meow 在数学推理（如 GSM8K）、常识问答（如 ARC-Challenge）以及多学科知识（如 MMLU）等关键任务上的表现，从而精准评估模型是否满足特定业务场景的需求。例如，在构建教育辅导或医疗咨询系统时，开发者可依据该数据集中相关学科测试的详细得分，判断模型在专业知识掌握上的可靠程度。这种基于标准化、细粒度评估数据的实践，大幅降低了模型选型的主观性和试错成本。

数据集最近研究

最新研究方向

在大型语言模型评测领域，Open LLM Leaderboard 已成为衡量模型综合能力的重要基准。该数据集记录了模型 rishiraj/meow 在 63 项任务上的评测细节，涵盖 ARC-Challenge、HellaSwag、GSM8K 等经典基准，以及涵盖 57 个学科领域的 MMLU 测试集。当前前沿研究方向聚焦于通过细粒度评测揭示模型在推理、常识理解与数学求解等维度的能力边界，尤其关注模型在跨学科知识迁移与复杂推理任务中的表现。该数据集的意义在于为社区提供了标准化的评测框架与可复现的详细结果，推动了模型性能对比的透明化与科学化，是评估开源大模型进展不可或缺的基础设施。