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open-llm-leaderboard-old/details_CultriX__NeuralTrix-bf16

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Hugging Face2024-03-03 更新2024-06-22 收录
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--- pretty_name: Evaluation run of CultriX/NeuralTrix-bf16 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [CultriX/NeuralTrix-bf16](https://huggingface.co/CultriX/NeuralTrix-bf16) 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_CultriX__NeuralTrix-bf16\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-03T03:22:10.041782](https://huggingface.co/datasets/open-llm-leaderboard/details_CultriX__NeuralTrix-bf16/blob/main/results_2024-03-03T03-22-10.041782.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\": 0.6486765449678997,\n\ \ \"acc_stderr\": 0.03222136547241223,\n \"acc_norm\": 0.6483708505012482,\n\ \ \"acc_norm_stderr\": 0.032892331194695104,\n \"mc1\": 0.6450428396572827,\n\ \ \"mc1_stderr\": 0.016750862381375898,\n \"mc2\": 0.7953780824002232,\n\ \ \"mc2_stderr\": 0.013387241984191129\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.7005119453924915,\n \"acc_stderr\": 0.013385021637313572,\n\ \ \"acc_norm\": 0.7286689419795221,\n \"acc_norm_stderr\": 0.012993807727545796\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7168890659231228,\n\ \ \"acc_stderr\": 0.004495891440519421,\n \"acc_norm\": 0.8911571400119498,\n\ \ \"acc_norm_stderr\": 0.00310805456335211\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.62,\n\ \ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \ \ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6981132075471698,\n \"acc_stderr\": 0.02825420034443866,\n\ \ \"acc_norm\": 0.6981132075471698,\n \"acc_norm_stderr\": 0.02825420034443866\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\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \ \ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.56,\n \"acc_stderr\": 0.049888765156985884,\n \"acc_norm\": 0.56,\n\ \ \"acc_norm_stderr\": 0.049888765156985884\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.653179190751445,\n\ \ \"acc_stderr\": 0.036291466701596636,\n \"acc_norm\": 0.653179190751445,\n\ \ \"acc_norm_stderr\": 0.036291466701596636\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.38235294117647056,\n \"acc_stderr\": 0.04835503696107224,\n\ \ \"acc_norm\": 0.38235294117647056,\n \"acc_norm_stderr\": 0.04835503696107224\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\": 0.73,\n\ \ \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5787234042553191,\n \"acc_stderr\": 0.03227834510146268,\n\ \ \"acc_norm\": 0.5787234042553191,\n \"acc_norm_stderr\": 0.03227834510146268\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.47368421052631576,\n\ \ \"acc_stderr\": 0.046970851366478626,\n \"acc_norm\": 0.47368421052631576,\n\ \ \"acc_norm_stderr\": 0.046970851366478626\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482757,\n\ \ \"acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482757\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.42328042328042326,\n \"acc_stderr\": 0.02544636563440678,\n \"\ acc_norm\": 0.42328042328042326,\n \"acc_norm_stderr\": 0.02544636563440678\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.46825396825396826,\n\ \ \"acc_stderr\": 0.044631127206771704,\n \"acc_norm\": 0.46825396825396826,\n\ \ \"acc_norm_stderr\": 0.044631127206771704\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.7741935483870968,\n\ \ \"acc_stderr\": 0.023785577884181012,\n \"acc_norm\": 0.7741935483870968,\n\ \ \"acc_norm_stderr\": 0.023785577884181012\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5024630541871922,\n \"acc_stderr\": 0.035179450386910616,\n\ \ \"acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.035179450386910616\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7878787878787878,\n \"acc_stderr\": 0.031922715695483,\n\ \ \"acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.031922715695483\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7929292929292929,\n \"acc_stderr\": 0.028869778460267042,\n \"\ acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.028869778460267042\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.021500249576033484,\n\ \ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.021500249576033484\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6487179487179487,\n \"acc_stderr\": 0.024203665177902803,\n\ \ \"acc_norm\": 0.6487179487179487,\n \"acc_norm_stderr\": 0.024203665177902803\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.31851851851851853,\n \"acc_stderr\": 0.02840653309060846,\n \ \ \"acc_norm\": 0.31851851851851853,\n \"acc_norm_stderr\": 0.02840653309060846\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.680672268907563,\n \"acc_stderr\": 0.030283995525884396,\n \ \ \"acc_norm\": 0.680672268907563,\n \"acc_norm_stderr\": 0.030283995525884396\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.39072847682119205,\n \"acc_stderr\": 0.039837983066598075,\n \"\ acc_norm\": 0.39072847682119205,\n \"acc_norm_stderr\": 0.039837983066598075\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8422018348623853,\n \"acc_stderr\": 0.015630022970092444,\n \"\ acc_norm\": 0.8422018348623853,\n \"acc_norm_stderr\": 0.015630022970092444\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5277777777777778,\n \"acc_stderr\": 0.0340470532865388,\n \"acc_norm\"\ : 0.5277777777777778,\n \"acc_norm_stderr\": 0.0340470532865388\n },\n\ \ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.8333333333333334,\n\ \ \"acc_stderr\": 0.026156867523931048,\n \"acc_norm\": 0.8333333333333334,\n\ \ \"acc_norm_stderr\": 0.026156867523931048\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\ : {\n \"acc\": 0.810126582278481,\n \"acc_stderr\": 0.02553010046023349,\n\ \ \"acc_norm\": 0.810126582278481,\n \"acc_norm_stderr\": 0.02553010046023349\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.672645739910314,\n\ \ \"acc_stderr\": 0.03149384670994131,\n \"acc_norm\": 0.672645739910314,\n\ \ \"acc_norm_stderr\": 0.03149384670994131\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.816793893129771,\n \"acc_stderr\": 0.03392770926494733,\n\ \ \"acc_norm\": 0.816793893129771,\n \"acc_norm_stderr\": 0.03392770926494733\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.743801652892562,\n \"acc_stderr\": 0.03984979653302872,\n \"acc_norm\"\ : 0.743801652892562,\n \"acc_norm_stderr\": 0.03984979653302872\n },\n\ \ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7592592592592593,\n\ \ \"acc_stderr\": 0.04133119440243839,\n \"acc_norm\": 0.7592592592592593,\n\ \ \"acc_norm_stderr\": 0.04133119440243839\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7607361963190185,\n \"acc_stderr\": 0.0335195387952127,\n\ \ \"acc_norm\": 0.7607361963190185,\n \"acc_norm_stderr\": 0.0335195387952127\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.42857142857142855,\n\ \ \"acc_stderr\": 0.04697113923010212,\n \"acc_norm\": 0.42857142857142855,\n\ \ \"acc_norm_stderr\": 0.04697113923010212\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.021262719400406974,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.021262719400406974\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8199233716475096,\n\ \ \"acc_stderr\": 0.013740797258579827,\n \"acc_norm\": 0.8199233716475096,\n\ \ \"acc_norm_stderr\": 0.013740797258579827\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7109826589595376,\n \"acc_stderr\": 0.02440517393578323,\n\ \ \"acc_norm\": 0.7109826589595376,\n \"acc_norm_stderr\": 0.02440517393578323\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4480446927374302,\n\ \ \"acc_stderr\": 0.016631976628930595,\n \"acc_norm\": 0.4480446927374302,\n\ \ \"acc_norm_stderr\": 0.016631976628930595\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7124183006535948,\n \"acc_stderr\": 0.02591780611714716,\n\ \ \"acc_norm\": 0.7124183006535948,\n \"acc_norm_stderr\": 0.02591780611714716\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7009646302250804,\n\ \ \"acc_stderr\": 0.02600330111788514,\n \"acc_norm\": 0.7009646302250804,\n\ \ \"acc_norm_stderr\": 0.02600330111788514\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7191358024691358,\n \"acc_stderr\": 0.025006469755799215,\n\ \ \"acc_norm\": 0.7191358024691358,\n \"acc_norm_stderr\": 0.025006469755799215\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4787234042553192,\n \"acc_stderr\": 0.029800481645628693,\n \ \ \"acc_norm\": 0.4787234042553192,\n \"acc_norm_stderr\": 0.029800481645628693\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.46936114732724904,\n\ \ \"acc_stderr\": 0.012746237711716634,\n \"acc_norm\": 0.46936114732724904,\n\ \ \"acc_norm_stderr\": 0.012746237711716634\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6691176470588235,\n \"acc_stderr\": 0.028582709753898445,\n\ \ \"acc_norm\": 0.6691176470588235,\n \"acc_norm_stderr\": 0.028582709753898445\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6715686274509803,\n \"acc_stderr\": 0.018999707383162673,\n \ \ \"acc_norm\": 0.6715686274509803,\n \"acc_norm_stderr\": 0.018999707383162673\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6818181818181818,\n\ \ \"acc_stderr\": 0.04461272175910508,\n \"acc_norm\": 0.6818181818181818,\n\ \ \"acc_norm_stderr\": 0.04461272175910508\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8308457711442786,\n\ \ \"acc_stderr\": 0.026508590656233268,\n \"acc_norm\": 0.8308457711442786,\n\ \ \"acc_norm_stderr\": 0.026508590656233268\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.03588702812826371,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.03588702812826371\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.572289156626506,\n\ \ \"acc_stderr\": 0.038515976837185335,\n \"acc_norm\": 0.572289156626506,\n\ \ \"acc_norm_stderr\": 0.038515976837185335\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640038,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640038\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.6450428396572827,\n\ \ \"mc1_stderr\": 0.016750862381375898,\n \"mc2\": 0.7953780824002232,\n\ \ \"mc2_stderr\": 0.013387241984191129\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.846093133385951,\n \"acc_stderr\": 0.010141944523750026\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6717210007581501,\n \ \ \"acc_stderr\": 0.012934758019449618\n }\n}\n```" repo_url: https://huggingface.co/CultriX/NeuralTrix-bf16 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|arc:challenge|25_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-03T03-22-10.041782.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|gsm8k|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hellaswag|10_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-03T03-22-10.041782.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-management|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-03T03-22-10.041782.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|truthfulqa:mc|0_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-03T03-22-10.041782.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_03T03_22_10.041782 path: - '**/details_harness|winogrande|5_2024-03-03T03-22-10.041782.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-03T03-22-10.041782.parquet' - config_name: results data_files: - split: 2024_03_03T03_22_10.041782 path: - results_2024-03-03T03-22-10.041782.parquet - split: latest path: - results_2024-03-03T03-22-10.041782.parquet --- # Dataset Card for Evaluation run of CultriX/NeuralTrix-bf16 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [CultriX/NeuralTrix-bf16](https://huggingface.co/CultriX/NeuralTrix-bf16) 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_CultriX__NeuralTrix-bf16", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-03T03:22:10.041782](https://huggingface.co/datasets/open-llm-leaderboard/details_CultriX__NeuralTrix-bf16/blob/main/results_2024-03-03T03-22-10.041782.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": 0.6486765449678997, "acc_stderr": 0.03222136547241223, "acc_norm": 0.6483708505012482, "acc_norm_stderr": 0.032892331194695104, "mc1": 0.6450428396572827, "mc1_stderr": 0.016750862381375898, "mc2": 0.7953780824002232, "mc2_stderr": 0.013387241984191129 }, "harness|arc:challenge|25": { "acc": 0.7005119453924915, "acc_stderr": 0.013385021637313572, "acc_norm": 0.7286689419795221, "acc_norm_stderr": 0.012993807727545796 }, "harness|hellaswag|10": { "acc": 0.7168890659231228, "acc_stderr": 0.004495891440519421, "acc_norm": 0.8911571400119498, "acc_norm_stderr": 0.00310805456335211 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6981132075471698, "acc_stderr": 0.02825420034443866, "acc_norm": 0.6981132075471698, "acc_norm_stderr": 0.02825420034443866 }, "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": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.56, "acc_stderr": 0.049888765156985884, "acc_norm": 0.56, "acc_norm_stderr": 0.049888765156985884 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.653179190751445, "acc_stderr": 0.036291466701596636, "acc_norm": 0.653179190751445, "acc_norm_stderr": 0.036291466701596636 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107224, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107224 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5787234042553191, "acc_stderr": 0.03227834510146268, "acc_norm": 0.5787234042553191, "acc_norm_stderr": 0.03227834510146268 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.47368421052631576, "acc_stderr": 0.046970851366478626, "acc_norm": 0.47368421052631576, "acc_norm_stderr": 0.046970851366478626 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482757, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482757 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.42328042328042326, "acc_stderr": 0.02544636563440678, "acc_norm": 0.42328042328042326, "acc_norm_stderr": 0.02544636563440678 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.46825396825396826, "acc_stderr": 0.044631127206771704, "acc_norm": 0.46825396825396826, "acc_norm_stderr": 0.044631127206771704 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7741935483870968, "acc_stderr": 0.023785577884181012, "acc_norm": 0.7741935483870968, "acc_norm_stderr": 0.023785577884181012 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5024630541871922, "acc_stderr": 0.035179450386910616, "acc_norm": 0.5024630541871922, "acc_norm_stderr": 0.035179450386910616 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7878787878787878, "acc_stderr": 0.031922715695483, "acc_norm": 0.7878787878787878, "acc_norm_stderr": 0.031922715695483 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7929292929292929, "acc_stderr": 0.028869778460267042, "acc_norm": 0.7929292929292929, "acc_norm_stderr": 0.028869778460267042 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9015544041450777, "acc_stderr": 0.021500249576033484, "acc_norm": 0.9015544041450777, "acc_norm_stderr": 0.021500249576033484 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6487179487179487, "acc_stderr": 0.024203665177902803, "acc_norm": 0.6487179487179487, "acc_norm_stderr": 0.024203665177902803 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.31851851851851853, "acc_stderr": 0.02840653309060846, "acc_norm": 0.31851851851851853, "acc_norm_stderr": 0.02840653309060846 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.680672268907563, "acc_stderr": 0.030283995525884396, "acc_norm": 0.680672268907563, "acc_norm_stderr": 0.030283995525884396 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.39072847682119205, "acc_stderr": 0.039837983066598075, "acc_norm": 0.39072847682119205, "acc_norm_stderr": 0.039837983066598075 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8422018348623853, "acc_stderr": 0.015630022970092444, "acc_norm": 0.8422018348623853, "acc_norm_stderr": 0.015630022970092444 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5277777777777778, "acc_stderr": 0.0340470532865388, "acc_norm": 0.5277777777777778, "acc_norm_stderr": 0.0340470532865388 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8333333333333334, "acc_stderr": 0.026156867523931048, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.026156867523931048 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.810126582278481, "acc_stderr": 0.02553010046023349, "acc_norm": 0.810126582278481, "acc_norm_stderr": 0.02553010046023349 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.672645739910314, "acc_stderr": 0.03149384670994131, "acc_norm": 0.672645739910314, "acc_norm_stderr": 0.03149384670994131 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.816793893129771, "acc_stderr": 0.03392770926494733, "acc_norm": 0.816793893129771, "acc_norm_stderr": 0.03392770926494733 }, "harness|hendrycksTest-international_law|5": { "acc": 0.743801652892562, "acc_stderr": 0.03984979653302872, "acc_norm": 0.743801652892562, "acc_norm_stderr": 0.03984979653302872 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7592592592592593, "acc_stderr": 0.04133119440243839, "acc_norm": 0.7592592592592593, "acc_norm_stderr": 0.04133119440243839 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7607361963190185, "acc_stderr": 0.0335195387952127, "acc_norm": 0.7607361963190185, "acc_norm_stderr": 0.0335195387952127 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.42857142857142855, "acc_stderr": 0.04697113923010212, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.04697113923010212 }, "harness|hendrycksTest-management|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8803418803418803, "acc_stderr": 0.021262719400406974, "acc_norm": 0.8803418803418803, "acc_norm_stderr": 0.021262719400406974 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8199233716475096, "acc_stderr": 0.013740797258579827, "acc_norm": 0.8199233716475096, "acc_norm_stderr": 0.013740797258579827 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7109826589595376, "acc_stderr": 0.02440517393578323, "acc_norm": 0.7109826589595376, "acc_norm_stderr": 0.02440517393578323 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.4480446927374302, "acc_stderr": 0.016631976628930595, "acc_norm": 0.4480446927374302, "acc_norm_stderr": 0.016631976628930595 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7124183006535948, "acc_stderr": 0.02591780611714716, "acc_norm": 0.7124183006535948, "acc_norm_stderr": 0.02591780611714716 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7009646302250804, "acc_stderr": 0.02600330111788514, "acc_norm": 0.7009646302250804, "acc_norm_stderr": 0.02600330111788514 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7191358024691358, "acc_stderr": 0.025006469755799215, "acc_norm": 0.7191358024691358, "acc_norm_stderr": 0.025006469755799215 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4787234042553192, "acc_stderr": 0.029800481645628693, "acc_norm": 0.4787234042553192, "acc_norm_stderr": 0.029800481645628693 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.46936114732724904, "acc_stderr": 0.012746237711716634, "acc_norm": 0.46936114732724904, "acc_norm_stderr": 0.012746237711716634 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6691176470588235, "acc_stderr": 0.028582709753898445, "acc_norm": 0.6691176470588235, "acc_norm_stderr": 0.028582709753898445 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6715686274509803, "acc_stderr": 0.018999707383162673, "acc_norm": 0.6715686274509803, "acc_norm_stderr": 0.018999707383162673 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6818181818181818, "acc_stderr": 0.04461272175910508, "acc_norm": 0.6818181818181818, "acc_norm_stderr": 0.04461272175910508 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8308457711442786, "acc_stderr": 0.026508590656233268, "acc_norm": 0.8308457711442786, "acc_norm_stderr": 0.026508590656233268 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.85, "acc_stderr": 0.03588702812826371, "acc_norm": 0.85, "acc_norm_stderr": 0.03588702812826371 }, "harness|hendrycksTest-virology|5": { "acc": 0.572289156626506, "acc_stderr": 0.038515976837185335, "acc_norm": 0.572289156626506, "acc_norm_stderr": 0.038515976837185335 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8187134502923976, "acc_stderr": 0.029547741687640038, "acc_norm": 0.8187134502923976, "acc_norm_stderr": 0.029547741687640038 }, "harness|truthfulqa:mc|0": { "mc1": 0.6450428396572827, "mc1_stderr": 0.016750862381375898, "mc2": 0.7953780824002232, "mc2_stderr": 0.013387241984191129 }, "harness|winogrande|5": { "acc": 0.846093133385951, "acc_stderr": 0.010141944523750026 }, "harness|gsm8k|5": { "acc": 0.6717210007581501, "acc_stderr": 0.012934758019449618 } } ``` ## 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 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原始信息汇总

数据集概述

数据集简介

该数据集是在对模型CultriX/NeuralTrix-bf16进行评估运行期间自动创建的,评估结果展示在Open LLM Leaderboard上。

数据集结构

  • 配置数量:63个配置,每个配置对应一个评估任务。
  • 运行次数:数据集来自1次运行。每个运行结果作为一个特定的分割存储在每个配置中,分割名称使用运行的时间戳。
  • 最新结果:"train"分割始终指向最新的结果。
  • 结果汇总:一个额外的配置"results"存储所有运行的汇总结果,用于计算和显示在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_CultriX__NeuralTrix-bf16", "harness_winogrande_5", split="train")

最新结果

以下是2024-03-03T03:22:10.041782运行的最新结果:

python { "all": { "acc": 0.6486765449678997, "acc_stderr": 0.03222136547241223, "acc_norm": 0.6483708505012482, "acc_norm_stderr": 0.032892331194695104, "mc1": 0.6450428396572827, "mc1_stderr": 0.016750862381375898, "mc2": 0.7953780824002232, "mc2_stderr": 0.013387241984191129 }, "harness|arc:challenge|25": { "acc": 0.7005119453924915, "acc_stderr": 0.013385021637313572, "acc_norm": 0.7286689419795221, "acc_norm_stderr": 0.012993807727545796 }, "harness|hellaswag|10": { "acc": 0.7168890659231228, "acc_stderr": 0.004495891440519421, "acc_norm": 0.8911571400119498, "acc_norm_stderr": 0.00310805456335211 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, # 其他任务的结果... }

配置详情

  • harness_arc_challenge_25

    • 分割:2024_03_03T03_22_10.041782, latest
    • 路径:**/details_harness|arc:challenge|25_2024-03-03T03-22-10.041782.parquet
  • harness_gsm8k_5

    • 分割:2024_03_03T03_22_10.041782, latest
    • 路径:**/details_harness|gsm8k|5_2024-03-03T03-22-10.041782.parquet
  • harness_hellaswag_10

    • 分割:2024_03_03T03_22_10.041782, latest
    • 路径:**/details_harness|hellaswag|10_2024-03-03T03-22-10.041782.parquet
  • harness_hendrycksTest_5

    • 分割:2024_03_03T03_22_10.041782, latest
    • 路径:多个路径,包括**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-03T03-22-10.041782.parquet
搜集汇总
数据集介绍
main_image_url
构建方式
在自然语言处理领域,模型性能的量化评估是推动技术进步的关键环节。该数据集是专为评估CultriX/NeuralTrix-bf16模型在Open LLM Leaderboard上的表现而自动生成的。其构建过程基于一次完整的评估运行,涵盖了63个不同的评估任务配置。每个配置对应一个特定的任务,例如ARC挑战集、HellaSwag、GSM8K等,并以Parquet格式存储详细的评估细节。数据集的每个配置中包含以运行时间戳命名的分割,其中“train”分割始终指向最新一次评估的结果,而额外的“results”配置则汇总了所有评估的聚合指标,用于在排行榜上计算和展示综合性能。
特点
该数据集的核心特征在于其结构化和可追溯性。它通过多配置设计,将每个评估任务的细节独立存储,便于研究人员针对特定任务进行深入分析。每个配置下的时间戳分割忠实记录了单次运行的完整结果,而“latest”分割则确保用户能够便捷地访问最新评估数据。此外,“results”配置提供了如准确率、标准化准确率及其标准误差等聚合指标,涵盖了从常识推理到数学问题求解的广泛能力维度,为模型性能的全方位剖析提供了坚实的数据基础。
使用方法
研究人员可通过Hugging Face的datasets库轻松加载该数据集。例如,使用load_dataset函数并指定配置名称(如"harness_winogrande_5")和分割(如"train"),即可获取特定任务的评估细节。数据集中的每个分割对应一次运行,用户可根据时间戳选择历史数据或使用默认的"latest"分割获取最新结果。这种设计使得模型开发者能够高效地复现评估流程、对比不同运行间的性能波动,并利用聚合指标进行模型间横向比较,从而优化模型迭代方向。
背景与挑战
背景概述
随着大语言模型(LLM)能力的迅猛提升,如何系统、公平地评估其性能成为学术界与工业界共同关注的焦点。Open LLM Leaderboard由Hugging Face团队于2023年发起,旨在构建一个标准化、透明化的模型评测平台,以应对不同模型间难以直接比较的困境。该数据集作为Leaderboard的一次具体评估记录,聚焦于CultriX团队开发的NeuralTrix-bf16模型,通过涵盖ARC-Challenge、HellaSwag、MMLU、TruthfulQA、Winogrande和GSM8K等多项基准任务,全面衡量模型在推理、常识、数学及知识理解等多维度的表现。这一评估体系不仅为模型开发者提供了清晰的性能参照,也推动了LLM评测范式的规范化发展,对后续模型迭代与社区协作产生了深远影响。
当前挑战
该数据集所面临的挑战主要体现在两个层面。首先,在领域问题层面,LLM评测需应对任务多样性与评估指标一致性的矛盾,例如不同基准(如MMLU的57个子任务与GSM8K的数学推理)对模型能力的要求差异显著,单一指标难以全面反映模型真实水平。其次,在构建过程中,数据集需处理多源异构结果的整合难题,包括不同任务间评分标准的不统一、运行时间戳导致的版本管理复杂性,以及如何确保各配置(如harness_arc_challenge_25)的评估结果可重复且无偏差。此外,模型推理结果的统计误差(如acc_stderr)也需被合理考量,以避免非确定性输出对评估结论的干扰。
常用场景
经典使用场景
该数据集作为Open LLM Leaderboard的评估记录,核心用途在于系统性地量化CultriX/NeuralTrix-bf16模型在多项自然语言理解与推理基准上的表现。它涵盖了ARC-Challenge、HellaSwag、MMLU、TruthfulQA、Winogrande及GSM8K等经典任务,每个配置对应一项具体评估,便于研究者追踪模型在常识推理、知识问答、数学求解及对抗性文本判别等维度的细粒度性能。通过加载特定任务与时间戳分割,可复现模型在特定时刻的评估细节,从而支持模型迭代中的对比分析与能力诊断。
解决学术问题
在学术研究中,该数据集解决了大语言模型评估标准化与透明化的关键难题。传统评估常因评测集、采样方式或随机种子差异而难以复现,而此数据集通过固定配置、统一指标与版本化存储,确保了评估结果的可信度与可比较性。它助力研究者深入剖析模型在57个MMLU子领域中的知识覆盖面与推理缺陷,揭示模型在不同难度层级与学科背景下的泛化边界,为理解模型能力瓶颈、指导训练策略优化提供了坚实的数据基础。
衍生相关工作
基于该评估数据集,衍生了一系列关于模型能力剖析与基准构建的研究工作。例如,后续工作通过聚合多个模型的此类评估记录,构建了模型性能排行榜,推动了开源大语言模型的良性竞争。同时,研究者利用该数据集的细粒度结果,分析模型在MMLU子任务中的表现差异,提出针对性的知识增强或课程学习策略。此外,该数据集的标准化格式也启发了多任务评估框架的设计,促进了评估流程的自动化与可扩展性发展。
以上内容由遇见数据集搜集并总结生成
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