five

open-llm-leaderboard-old/details_MAISAAI__gemma-2b-coder

收藏
Hugging Face2024-02-24 更新2024-06-22 收录
下载链接:
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_MAISAAI__gemma-2b-coder
下载链接
链接失效反馈
官方服务:
资源简介:
--- pretty_name: Evaluation run of MAISAAI/gemma-2b-coder dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [MAISAAI/gemma-2b-coder](https://huggingface.co/MAISAAI/gemma-2b-coder) 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_MAISAAI__gemma-2b-coder\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-24T06:53:52.284429](https://huggingface.co/datasets/open-llm-leaderboard/details_MAISAAI__gemma-2b-coder/blob/main/results_2024-02-24T06-53-52.284429.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\": 0.37611773844228785,\n\ \ \"acc_stderr\": 0.03383242673281249,\n \"acc_norm\": 0.3780753668746461,\n\ \ \"acc_norm_stderr\": 0.034575857053117554,\n \"mc1\": 0.2215422276621787,\n\ \ \"mc1_stderr\": 0.014537867601301137,\n \"mc2\": 0.3354424646424683,\n\ \ \"mc2_stderr\": 0.013418718160544026\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.4761092150170648,\n \"acc_stderr\": 0.014594701798071654,\n\ \ \"acc_norm\": 0.48976109215017066,\n \"acc_norm_stderr\": 0.014608326906285012\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5354511053574985,\n\ \ \"acc_stderr\": 0.004977223485342017,\n \"acc_norm\": 0.714299940250946,\n\ \ \"acc_norm_stderr\": 0.004508239594503833\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816506,\n \ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816506\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.43703703703703706,\n\ \ \"acc_stderr\": 0.04284958639753399,\n \"acc_norm\": 0.43703703703703706,\n\ \ \"acc_norm_stderr\": 0.04284958639753399\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.39473684210526316,\n \"acc_stderr\": 0.039777499346220734,\n\ \ \"acc_norm\": 0.39473684210526316,\n \"acc_norm_stderr\": 0.039777499346220734\n\ \ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\ : {\n \"acc\": 0.3849056603773585,\n \"acc_stderr\": 0.029946498567699948,\n\ \ \"acc_norm\": 0.3849056603773585,\n \"acc_norm_stderr\": 0.029946498567699948\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.3958333333333333,\n\ \ \"acc_stderr\": 0.04089465449325583,\n \"acc_norm\": 0.3958333333333333,\n\ \ \"acc_norm_stderr\": 0.04089465449325583\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-college_computer_science|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_mathematics|5\"\ : {\n \"acc\": 0.21,\n \"acc_stderr\": 0.040936018074033256,\n \ \ \"acc_norm\": 0.21,\n \"acc_norm_stderr\": 0.040936018074033256\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.35260115606936415,\n\ \ \"acc_stderr\": 0.036430371689585475,\n \"acc_norm\": 0.35260115606936415,\n\ \ \"acc_norm_stderr\": 0.036430371689585475\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.16666666666666666,\n \"acc_stderr\": 0.03708284662416544,\n\ \ \"acc_norm\": 0.16666666666666666,\n \"acc_norm_stderr\": 0.03708284662416544\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.49,\n\ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.39148936170212767,\n \"acc_stderr\": 0.03190701242326812,\n\ \ \"acc_norm\": 0.39148936170212767,\n \"acc_norm_stderr\": 0.03190701242326812\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.30701754385964913,\n\ \ \"acc_stderr\": 0.043391383225798615,\n \"acc_norm\": 0.30701754385964913,\n\ \ \"acc_norm_stderr\": 0.043391383225798615\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.46206896551724136,\n \"acc_stderr\": 0.041546596717075474,\n\ \ \"acc_norm\": 0.46206896551724136,\n \"acc_norm_stderr\": 0.041546596717075474\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.2724867724867725,\n \"acc_stderr\": 0.022930973071633356,\n \"\ acc_norm\": 0.2724867724867725,\n \"acc_norm_stderr\": 0.022930973071633356\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.2777777777777778,\n\ \ \"acc_stderr\": 0.04006168083848876,\n \"acc_norm\": 0.2777777777777778,\n\ \ \"acc_norm_stderr\": 0.04006168083848876\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \ \ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.38064516129032255,\n\ \ \"acc_stderr\": 0.027621717832907036,\n \"acc_norm\": 0.38064516129032255,\n\ \ \"acc_norm_stderr\": 0.027621717832907036\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.31527093596059114,\n \"acc_stderr\": 0.032690808719701876,\n\ \ \"acc_norm\": 0.31527093596059114,\n \"acc_norm_stderr\": 0.032690808719701876\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|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_european_history|5\"\ : {\n \"acc\": 0.41818181818181815,\n \"acc_stderr\": 0.03851716319398394,\n\ \ \"acc_norm\": 0.41818181818181815,\n \"acc_norm_stderr\": 0.03851716319398394\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.41919191919191917,\n \"acc_stderr\": 0.035155207286704175,\n \"\ acc_norm\": 0.41919191919191917,\n \"acc_norm_stderr\": 0.035155207286704175\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.41450777202072536,\n \"acc_stderr\": 0.03555300319557673,\n\ \ \"acc_norm\": 0.41450777202072536,\n \"acc_norm_stderr\": 0.03555300319557673\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.3282051282051282,\n \"acc_stderr\": 0.023807633198657262,\n\ \ \"acc_norm\": 0.3282051282051282,\n \"acc_norm_stderr\": 0.023807633198657262\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.2518518518518518,\n \"acc_stderr\": 0.02646611753895991,\n \ \ \"acc_norm\": 0.2518518518518518,\n \"acc_norm_stderr\": 0.02646611753895991\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.31932773109243695,\n \"acc_stderr\": 0.030283995525884396,\n\ \ \"acc_norm\": 0.31932773109243695,\n \"acc_norm_stderr\": 0.030283995525884396\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.2251655629139073,\n \"acc_stderr\": 0.03410435282008937,\n \"\ acc_norm\": 0.2251655629139073,\n \"acc_norm_stderr\": 0.03410435282008937\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.4917431192660551,\n \"acc_stderr\": 0.021434399918214334,\n \"\ acc_norm\": 0.4917431192660551,\n \"acc_norm_stderr\": 0.021434399918214334\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.2361111111111111,\n \"acc_stderr\": 0.02896370257079102,\n \"\ acc_norm\": 0.2361111111111111,\n \"acc_norm_stderr\": 0.02896370257079102\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.39215686274509803,\n \"acc_stderr\": 0.034267123492472726,\n \"\ acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.034267123492472726\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.4050632911392405,\n \"acc_stderr\": 0.03195514741370673,\n \ \ \"acc_norm\": 0.4050632911392405,\n \"acc_norm_stderr\": 0.03195514741370673\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.4439461883408072,\n\ \ \"acc_stderr\": 0.03334625674242728,\n \"acc_norm\": 0.4439461883408072,\n\ \ \"acc_norm_stderr\": 0.03334625674242728\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.42748091603053434,\n \"acc_stderr\": 0.04338920305792401,\n\ \ \"acc_norm\": 0.42748091603053434,\n \"acc_norm_stderr\": 0.04338920305792401\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.5537190082644629,\n \"acc_stderr\": 0.04537935177947879,\n \"\ acc_norm\": 0.5537190082644629,\n \"acc_norm_stderr\": 0.04537935177947879\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.37037037037037035,\n\ \ \"acc_stderr\": 0.04668408033024932,\n \"acc_norm\": 0.37037037037037035,\n\ \ \"acc_norm_stderr\": 0.04668408033024932\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.31901840490797545,\n \"acc_stderr\": 0.03661997551073836,\n\ \ \"acc_norm\": 0.31901840490797545,\n \"acc_norm_stderr\": 0.03661997551073836\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.36607142857142855,\n\ \ \"acc_stderr\": 0.0457237235873743,\n \"acc_norm\": 0.36607142857142855,\n\ \ \"acc_norm_stderr\": 0.0457237235873743\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.44660194174757284,\n \"acc_stderr\": 0.04922424153458933,\n\ \ \"acc_norm\": 0.44660194174757284,\n \"acc_norm_stderr\": 0.04922424153458933\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.5555555555555556,\n\ \ \"acc_stderr\": 0.03255326307272487,\n \"acc_norm\": 0.5555555555555556,\n\ \ \"acc_norm_stderr\": 0.03255326307272487\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.508301404853129,\n\ \ \"acc_stderr\": 0.017877498991072,\n \"acc_norm\": 0.508301404853129,\n\ \ \"acc_norm_stderr\": 0.017877498991072\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.3988439306358382,\n \"acc_stderr\": 0.026362437574546545,\n\ \ \"acc_norm\": 0.3988439306358382,\n \"acc_norm_stderr\": 0.026362437574546545\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.25251396648044694,\n\ \ \"acc_stderr\": 0.014530330201468634,\n \"acc_norm\": 0.25251396648044694,\n\ \ \"acc_norm_stderr\": 0.014530330201468634\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.434640522875817,\n \"acc_stderr\": 0.028384256704883034,\n\ \ \"acc_norm\": 0.434640522875817,\n \"acc_norm_stderr\": 0.028384256704883034\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.41479099678456594,\n\ \ \"acc_stderr\": 0.027982680459759563,\n \"acc_norm\": 0.41479099678456594,\n\ \ \"acc_norm_stderr\": 0.027982680459759563\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.44753086419753085,\n \"acc_stderr\": 0.027667138569422697,\n\ \ \"acc_norm\": 0.44753086419753085,\n \"acc_norm_stderr\": 0.027667138569422697\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.2695035460992908,\n \"acc_stderr\": 0.026469036818590634,\n \ \ \"acc_norm\": 0.2695035460992908,\n \"acc_norm_stderr\": 0.026469036818590634\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.32659713168187743,\n\ \ \"acc_stderr\": 0.011977676704715997,\n \"acc_norm\": 0.32659713168187743,\n\ \ \"acc_norm_stderr\": 0.011977676704715997\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.025767252010855956,\n\ \ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.025767252010855956\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.36764705882352944,\n \"acc_stderr\": 0.019506291693954847,\n \ \ \"acc_norm\": 0.36764705882352944,\n \"acc_norm_stderr\": 0.019506291693954847\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.38181818181818183,\n\ \ \"acc_stderr\": 0.04653429807913508,\n \"acc_norm\": 0.38181818181818183,\n\ \ \"acc_norm_stderr\": 0.04653429807913508\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.37142857142857144,\n \"acc_stderr\": 0.03093285879278986,\n\ \ \"acc_norm\": 0.37142857142857144,\n \"acc_norm_stderr\": 0.03093285879278986\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.4427860696517413,\n\ \ \"acc_stderr\": 0.03512310964123937,\n \"acc_norm\": 0.4427860696517413,\n\ \ \"acc_norm_stderr\": 0.03512310964123937\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.39156626506024095,\n\ \ \"acc_stderr\": 0.03799857454479636,\n \"acc_norm\": 0.39156626506024095,\n\ \ \"acc_norm_stderr\": 0.03799857454479636\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.5263157894736842,\n \"acc_stderr\": 0.03829509868994727,\n\ \ \"acc_norm\": 0.5263157894736842,\n \"acc_norm_stderr\": 0.03829509868994727\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2215422276621787,\n\ \ \"mc1_stderr\": 0.014537867601301137,\n \"mc2\": 0.3354424646424683,\n\ \ \"mc2_stderr\": 0.013418718160544026\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.6685082872928176,\n \"acc_stderr\": 0.013230397198964652\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.1607278241091736,\n \ \ \"acc_stderr\": 0.010116708586037183\n }\n}\n```" repo_url: https://huggingface.co/MAISAAI/gemma-2b-coder 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_02_24T06_53_52.284429 path: - '**/details_harness|arc:challenge|25_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-02-24T06-53-52.284429.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|gsm8k|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hellaswag|10_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-24T06-53-52.284429.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-management|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-24T06-53-52.284429.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|truthfulqa:mc|0_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-02-24T06-53-52.284429.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_24T06_53_52.284429 path: - '**/details_harness|winogrande|5_2024-02-24T06-53-52.284429.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-02-24T06-53-52.284429.parquet' - config_name: results data_files: - split: 2024_02_24T06_53_52.284429 path: - results_2024-02-24T06-53-52.284429.parquet - split: latest path: - results_2024-02-24T06-53-52.284429.parquet --- # Dataset Card for Evaluation run of MAISAAI/gemma-2b-coder <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [MAISAAI/gemma-2b-coder](https://huggingface.co/MAISAAI/gemma-2b-coder) 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_MAISAAI__gemma-2b-coder", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-24T06:53:52.284429](https://huggingface.co/datasets/open-llm-leaderboard/details_MAISAAI__gemma-2b-coder/blob/main/results_2024-02-24T06-53-52.284429.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": 0.37611773844228785, "acc_stderr": 0.03383242673281249, "acc_norm": 0.3780753668746461, "acc_norm_stderr": 0.034575857053117554, "mc1": 0.2215422276621787, "mc1_stderr": 0.014537867601301137, "mc2": 0.3354424646424683, "mc2_stderr": 0.013418718160544026 }, "harness|arc:challenge|25": { "acc": 0.4761092150170648, "acc_stderr": 0.014594701798071654, "acc_norm": 0.48976109215017066, "acc_norm_stderr": 0.014608326906285012 }, "harness|hellaswag|10": { "acc": 0.5354511053574985, "acc_stderr": 0.004977223485342017, "acc_norm": 0.714299940250946, "acc_norm_stderr": 0.004508239594503833 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.23, "acc_stderr": 0.04229525846816506, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816506 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.43703703703703706, "acc_stderr": 0.04284958639753399, "acc_norm": 0.43703703703703706, "acc_norm_stderr": 0.04284958639753399 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.39473684210526316, "acc_stderr": 0.039777499346220734, "acc_norm": 0.39473684210526316, "acc_norm_stderr": 0.039777499346220734 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.3849056603773585, "acc_stderr": 0.029946498567699948, "acc_norm": 0.3849056603773585, "acc_norm_stderr": 0.029946498567699948 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3958333333333333, "acc_stderr": 0.04089465449325583, "acc_norm": 0.3958333333333333, "acc_norm_stderr": 0.04089465449325583 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.35260115606936415, "acc_stderr": 0.036430371689585475, "acc_norm": 0.35260115606936415, "acc_norm_stderr": 0.036430371689585475 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.16666666666666666, "acc_stderr": 0.03708284662416544, "acc_norm": 0.16666666666666666, "acc_norm_stderr": 0.03708284662416544 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.39148936170212767, "acc_stderr": 0.03190701242326812, "acc_norm": 0.39148936170212767, "acc_norm_stderr": 0.03190701242326812 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.30701754385964913, "acc_stderr": 0.043391383225798615, "acc_norm": 0.30701754385964913, "acc_norm_stderr": 0.043391383225798615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.46206896551724136, "acc_stderr": 0.041546596717075474, "acc_norm": 0.46206896551724136, "acc_norm_stderr": 0.041546596717075474 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2724867724867725, "acc_stderr": 0.022930973071633356, "acc_norm": 0.2724867724867725, "acc_norm_stderr": 0.022930973071633356 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2777777777777778, "acc_stderr": 0.04006168083848876, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.04006168083848876 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.38064516129032255, "acc_stderr": 0.027621717832907036, "acc_norm": 0.38064516129032255, "acc_norm_stderr": 0.027621717832907036 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.31527093596059114, "acc_stderr": 0.032690808719701876, "acc_norm": 0.31527093596059114, "acc_norm_stderr": 0.032690808719701876 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.41818181818181815, "acc_stderr": 0.03851716319398394, "acc_norm": 0.41818181818181815, "acc_norm_stderr": 0.03851716319398394 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.41919191919191917, "acc_stderr": 0.035155207286704175, "acc_norm": 0.41919191919191917, "acc_norm_stderr": 0.035155207286704175 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.41450777202072536, "acc_stderr": 0.03555300319557673, "acc_norm": 0.41450777202072536, "acc_norm_stderr": 0.03555300319557673 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3282051282051282, "acc_stderr": 0.023807633198657262, "acc_norm": 0.3282051282051282, "acc_norm_stderr": 0.023807633198657262 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2518518518518518, "acc_stderr": 0.02646611753895991, "acc_norm": 0.2518518518518518, "acc_norm_stderr": 0.02646611753895991 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.31932773109243695, "acc_stderr": 0.030283995525884396, "acc_norm": 0.31932773109243695, "acc_norm_stderr": 0.030283995525884396 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.2251655629139073, "acc_stderr": 0.03410435282008937, "acc_norm": 0.2251655629139073, "acc_norm_stderr": 0.03410435282008937 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.4917431192660551, "acc_stderr": 0.021434399918214334, "acc_norm": 0.4917431192660551, "acc_norm_stderr": 0.021434399918214334 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.2361111111111111, "acc_stderr": 0.02896370257079102, "acc_norm": 0.2361111111111111, "acc_norm_stderr": 0.02896370257079102 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.39215686274509803, "acc_stderr": 0.034267123492472726, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.034267123492472726 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.4050632911392405, "acc_stderr": 0.03195514741370673, "acc_norm": 0.4050632911392405, "acc_norm_stderr": 0.03195514741370673 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.4439461883408072, "acc_stderr": 0.03334625674242728, "acc_norm": 0.4439461883408072, "acc_norm_stderr": 0.03334625674242728 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.42748091603053434, "acc_stderr": 0.04338920305792401, "acc_norm": 0.42748091603053434, "acc_norm_stderr": 0.04338920305792401 }, "harness|hendrycksTest-international_law|5": { "acc": 0.5537190082644629, "acc_stderr": 0.04537935177947879, "acc_norm": 0.5537190082644629, "acc_norm_stderr": 0.04537935177947879 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.37037037037037035, "acc_stderr": 0.04668408033024932, "acc_norm": 0.37037037037037035, "acc_norm_stderr": 0.04668408033024932 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.31901840490797545, "acc_stderr": 0.03661997551073836, "acc_norm": 0.31901840490797545, "acc_norm_stderr": 0.03661997551073836 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.36607142857142855, "acc_stderr": 0.0457237235873743, "acc_norm": 0.36607142857142855, "acc_norm_stderr": 0.0457237235873743 }, "harness|hendrycksTest-management|5": { "acc": 0.44660194174757284, "acc_stderr": 0.04922424153458933, "acc_norm": 0.44660194174757284, "acc_norm_stderr": 0.04922424153458933 }, "harness|hendrycksTest-marketing|5": { "acc": 0.5555555555555556, "acc_stderr": 0.03255326307272487, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.03255326307272487 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.508301404853129, "acc_stderr": 0.017877498991072, "acc_norm": 0.508301404853129, "acc_norm_stderr": 0.017877498991072 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.3988439306358382, "acc_stderr": 0.026362437574546545, "acc_norm": 0.3988439306358382, "acc_norm_stderr": 0.026362437574546545 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.25251396648044694, "acc_stderr": 0.014530330201468634, "acc_norm": 0.25251396648044694, "acc_norm_stderr": 0.014530330201468634 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.434640522875817, "acc_stderr": 0.028384256704883034, "acc_norm": 0.434640522875817, "acc_norm_stderr": 0.028384256704883034 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.41479099678456594, "acc_stderr": 0.027982680459759563, "acc_norm": 0.41479099678456594, "acc_norm_stderr": 0.027982680459759563 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.44753086419753085, "acc_stderr": 0.027667138569422697, "acc_norm": 0.44753086419753085, "acc_norm_stderr": 0.027667138569422697 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.2695035460992908, "acc_stderr": 0.026469036818590634, "acc_norm": 0.2695035460992908, "acc_norm_stderr": 0.026469036818590634 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.32659713168187743, "acc_stderr": 0.011977676704715997, "acc_norm": 0.32659713168187743, "acc_norm_stderr": 0.011977676704715997 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.23529411764705882, "acc_stderr": 0.025767252010855956, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.025767252010855956 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.36764705882352944, "acc_stderr": 0.019506291693954847, "acc_norm": 0.36764705882352944, "acc_norm_stderr": 0.019506291693954847 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.38181818181818183, "acc_stderr": 0.04653429807913508, "acc_norm": 0.38181818181818183, "acc_norm_stderr": 0.04653429807913508 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.37142857142857144, "acc_stderr": 0.03093285879278986, "acc_norm": 0.37142857142857144, "acc_norm_stderr": 0.03093285879278986 }, "harness|hendrycksTest-sociology|5": { "acc": 0.4427860696517413, "acc_stderr": 0.03512310964123937, "acc_norm": 0.4427860696517413, "acc_norm_stderr": 0.03512310964123937 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-virology|5": { "acc": 0.39156626506024095, "acc_stderr": 0.03799857454479636, "acc_norm": 0.39156626506024095, "acc_norm_stderr": 0.03799857454479636 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.5263157894736842, "acc_stderr": 0.03829509868994727, "acc_norm": 0.5263157894736842, "acc_norm_stderr": 0.03829509868994727 }, "harness|truthfulqa:mc|0": { "mc1": 0.2215422276621787, "mc1_stderr": 0.014537867601301137, "mc2": 0.3354424646424683, "mc2_stderr": 0.013418718160544026 }, "harness|winogrande|5": { "acc": 0.6685082872928176, "acc_stderr": 0.013230397198964652 }, "harness|gsm8k|5": { "acc": 0.1607278241091736, "acc_stderr": 0.010116708586037183 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
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 MAISAAI/gemma-2b-coder 进行评估运行期间自动创建的,用于 Open LLM Leaderboard

数据集组成

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

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_MAISAAI__gemma-2b-coder", "harness_winogrande_5", split="train")

最新结果

以下是 2024-02-24T06:53:52.284429 运行的最新结果

python { "all": { "acc": 0.37611773844228785, "acc_stderr": 0.03383242673281249, "acc_norm": 0.3780753668746461, "acc_norm_stderr": 0.034575857053117554, "mc1": 0.2215422276621787, "mc1_stderr": 0.014537867601301137, "mc2": 0.3354424646424683, "mc2_stderr": 0.013418718160544026 }, "harness|arc:challenge|25": { "acc": 0.4761092150170648, "acc_stderr": 0.014594701798071654, "acc_norm": 0.48976109215017066, "acc_norm_stderr": 0.014608326906285012 }, "harness|hellaswag|10": { "acc": 0.5354511053574985, "acc_stderr": 0.004977223485342017, "acc_norm": 0.714299940250946, "acc_norm_stderr": 0.004508239594503833 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.23, "acc_stderr": 0.04229525846816506, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816506 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.43703703703703706, "acc_stderr": 0.04284958639753399, "acc_norm": 0.43703703703703706, "acc_norm_stderr": 0.04284958639753399 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.39473684210526316, "acc_stderr": 0.039777499346220734, "acc_norm": 0.39473684210526316, "acc_norm_stderr": 0.039777499346220734 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.3849056603773585, "acc_stderr": 0.029946498567699948, "acc_norm": 0.3849056603773585, "acc_norm_stderr": 0.029946498567699948 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3958333333333333, "acc_stderr": 0.04089465449325583, "acc_norm": 0.3958333333333333, "acc_norm_stderr": 0.04089465449325583 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.35260115606936415, "acc_stderr": 0.036430371689585475, "acc_norm": 0.35260115606936415, "acc_norm_stderr": 0.036430371689585475 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.16666666666666666, "acc_stderr": 0.03708284662416544, "acc_norm": 0.16666666666666666, "acc_norm_stderr": 0.03708284662416544 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.39148936170212767, "acc_stderr": 0.03190701242326812, "acc_norm": 0.39148936170212767, "acc_norm_stderr": 0.03190701242326812 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.30701754385964913, "acc_stderr": 0.043391383225798615, "acc_norm": 0.30701754385964913, "acc_norm_stderr": 0.043391383225798615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.46206896551724136, "acc_stderr": 0.041546596717075474, "acc_norm": 0.46206896551724136, "acc_norm_stderr": 0.041546596717075474 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2724867724867725, "acc_stderr": 0.022930973071633356, "acc_norm": 0.2724867724867725, "acc_norm_stderr": 0.022930973071633356 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2777777777777778, "acc_stderr": 0.04006168083848876, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.04006168083848876 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.38064516129032255, "acc_stderr": 0.027621717832907036, "acc_norm": 0.38064516129032255, "acc_norm_stderr": 0.027621717832907036 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.31527093596059114, "acc_stderr": 0.032690808719701876, "acc_norm": 0.31527093596059114, "acc_norm_stderr": 0.032690808719701876 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.41818181818181815, "acc_stderr": 0.03851716319398394, "acc_norm": 0.41818181818181815, "acc_norm_stderr": 0.03851716319398394 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.41919191919191917, "acc_stderr": 0.035155207286704175, "acc_norm": 0.41919191919191917, "acc_norm_stderr": 0.035155207286704175 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.41450777202072536, "acc_stderr": 0.03555300319557673, "acc_norm": 0.41450777202072536, "acc_norm_stderr": 0.03555300319557673 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3282051282051282, "acc_stderr": 0.023807633198657262, "acc_norm": 0.3282051282051282, "acc_norm_stderr": 0.023807633198657262 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2518518518518518, "acc_stderr": 0.02646611753895991, "

搜集汇总
数据集介绍
main_image_url
构建方式
该数据集源自对模型MAISAAI/gemma-2b-coder在Open LLM Leaderboard平台上的系统性评估过程。在评估运行中,针对63个预定义任务配置,自动生成了相应的评估数据。每个任务配置对应一个独立的数据子集,而整个数据集由单次运行(时间戳为2024-02-24T06:53:52.284429)的结果构成。每个配置内均包含以该时间戳命名的数据切分,同时设有“train”切分始终指向最新运行结果。此外,还设有名为“results”的附加配置,用于存储所有任务的聚合指标,以便在排行榜上计算与展示综合性能。数据以Parquet格式存储,便于高效加载与分析。
特点
本数据集具有高度的结构化与多任务特性,其独特之处在于覆盖了从常识推理(如ARC、HellaSwag)到数学求解(GSM8K)、语言理解(Winogrande)以及涵盖57个学科领域的MMLU测试(如抽象代数、法学、医学等)等广泛评估维度。每个任务均提供精确的准确率及其标准误差等细粒度指标,如acc、acc_norm、mc1、mc2等。数据集采用多配置设计,每个配置独立封装单一任务的评估细节,同时通过“results”配置聚合全局结果,便于研究者横向对比模型在不同能力维度上的表现。数据切分机制支持历史运行追溯与最新结果即时获取,增强了评估的可复现性与时效性。
使用方法
研究者可通过HuggingFace的datasets库便捷地加载该数据集。例如,使用load_dataset函数指定数据集名称与目标任务配置(如“harness_winogrande_5”),并通过split参数选择“train”切分以获取最新评估结果。若需访问特定历史运行的数据,可将split指定为对应的时间戳字符串(如“2024_02_24T06_53_52.284429”)。加载后的数据可直接用于分析模型在各项任务中的表现,或作为基准测试的参考。对于所有任务的聚合结果,可通过加载“results”配置获得,从而快速掌握模型整体性能概况。
背景与挑战
背景概述
大语言模型评估体系的构建是自然语言处理领域的关键议题,旨在系统性地衡量模型在多样化任务中的泛化能力与鲁棒性。由HuggingFace团队主导的Open LLM Leaderboard项目于2023年启动,通过标准化基准测试框架为社区提供透明、可复现的模型性能对比平台。针对MAISAAI团队开发的gemma-2b-coder模型,该数据集记录了其于2024年2月24日完成的63项任务评估结果,涵盖ARC挑战赛、HellaSwag常识推理、GSM8K数学推理及涵盖57个学科的MMLU基准测试。这一评估体系不仅揭示了2B参数规模代码生成模型在语言理解与推理任务上的能力边界,更通过持续迭代的排行榜机制推动了开源大模型的公平竞争与进步,成为衡量模型实用价值的重要参照系。
当前挑战
该数据集所承载的核心挑战在于构建能够全面评估大语言模型多维能力的标准化框架。领域层面,现有基准测试难以兼顾知识广度与推理深度的平衡,例如模型在MMLU部分学科(如大学数学、职业医学)准确率低至0.21与0.24,凸显出专业领域知识整合的瓶颈。构建过程中,评估任务涵盖63个异构配置,需解决不同测试集难度差异导致的评分偏差问题,如GSM8K数学推理任务仅获0.16的准确率,暴露出当前评估体系对符号推理能力的捕捉不足。此外,多轮评估结果的时间戳管理、数据版本控制以及最新结果的自动同步机制,均为确保评估可复现性与时效性带来了工程化挑战。
常用场景
经典使用场景
在大型语言模型(LLM)的评估生态中,该数据集作为Open LLM Leaderboard的评测运行记录,被广泛用于标准化评估模型的推理、常识与知识掌握能力。其经典用法是加载特定任务配置(如arc_challenge、hellaswag、gsm8k等),复现模型在多项基准上的细粒度性能,从而系统性地比较不同模型或同一模型不同版本的进步幅度。
实际应用
在实际应用中,该数据集为模型选型与优化提供了决策支撑。开发者可以依据其在ARC挑战赛、GSM8K数学题与TruthfulQA真实性测试上的表现,判断模型是否适合部署于教育辅导、知识问答或代码生成等场景。同时,评测结果的持续更新机制助力社区快速跟踪模型迭代效果,降低试错成本。
衍生相关工作
该数据集衍生了一系列关于LLM评测标准化的工作,例如基于其记录构建的模型性能排行榜催生了更细粒度的任务难度分析。部分研究利用其多任务分数训练元模型以预测未知任务表现,还有工作借助其标准误数据改进评估置信区间计算。这些成果共同推动了LLM评估从单一指标向多维、概率化方向的演进。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务