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open-llm-leaderboard/details_XuanXuanXuanXuan__Llama-2-7b-chat-hf-gpt-3.5-80k

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Hugging Face2024-03-15 更新2024-06-11 收录
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--- pretty_name: Evaluation run of XuanXuanXuanXuan/Llama-2-7b-chat-hf-gpt-3.5-80k dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [XuanXuanXuanXuan/Llama-2-7b-chat-hf-gpt-3.5-80k](https://huggingface.co/XuanXuanXuanXuan/Llama-2-7b-chat-hf-gpt-3.5-80k)\ \ 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_XuanXuanXuanXuan__Llama-2-7b-chat-hf-gpt-3.5-80k\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-15T09:33:35.704482](https://huggingface.co/datasets/open-llm-leaderboard/details_XuanXuanXuanXuan__Llama-2-7b-chat-hf-gpt-3.5-80k/blob/main/results_2024-03-15T09-33-35.704482.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\": 0.4821817880712927,\n\ \ \"acc_stderr\": 0.03434192787348354,\n \"acc_norm\": 0.48689446095974903,\n\ \ \"acc_norm_stderr\": 0.03509541912860815,\n \"mc1\": 0.30599755201958384,\n\ \ \"mc1_stderr\": 0.016132229728155048,\n \"mc2\": 0.4434954243772988,\n\ \ \"mc2_stderr\": 0.015186242659563755\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.47952218430034127,\n \"acc_stderr\": 0.01459913135303501,\n\ \ \"acc_norm\": 0.5204778156996587,\n \"acc_norm_stderr\": 0.014599131353035012\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5462059350726947,\n\ \ \"acc_stderr\": 0.004968429476345026,\n \"acc_norm\": 0.7388966341366262,\n\ \ \"acc_norm_stderr\": 0.004383384784038477\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.04605661864718381,\n \ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.04605661864718381\n },\n\ \ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4148148148148148,\n\ \ \"acc_stderr\": 0.042561937679014075,\n \"acc_norm\": 0.4148148148148148,\n\ \ \"acc_norm_stderr\": 0.042561937679014075\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.4868421052631579,\n \"acc_stderr\": 0.04067533136309173,\n\ \ \"acc_norm\": 0.4868421052631579,\n \"acc_norm_stderr\": 0.04067533136309173\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.46,\n\ \ \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.46,\n \ \ \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.5358490566037736,\n \"acc_stderr\": 0.030693675018458003,\n\ \ \"acc_norm\": 0.5358490566037736,\n \"acc_norm_stderr\": 0.030693675018458003\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5416666666666666,\n\ \ \"acc_stderr\": 0.04166666666666665,\n \"acc_norm\": 0.5416666666666666,\n\ \ \"acc_norm_stderr\": 0.04166666666666665\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\"\ : 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \"acc_norm\": 0.4,\n\ \ \"acc_norm_stderr\": 0.049236596391733084\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4046242774566474,\n\ \ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.4046242774566474,\n\ \ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.19607843137254902,\n \"acc_stderr\": 0.03950581861179963,\n\ \ \"acc_norm\": 0.19607843137254902,\n \"acc_norm_stderr\": 0.03950581861179963\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n\ \ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.4127659574468085,\n \"acc_stderr\": 0.03218471141400351,\n\ \ \"acc_norm\": 0.4127659574468085,\n \"acc_norm_stderr\": 0.03218471141400351\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.39473684210526316,\n\ \ \"acc_stderr\": 0.045981880578165414,\n \"acc_norm\": 0.39473684210526316,\n\ \ \"acc_norm_stderr\": 0.045981880578165414\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.503448275862069,\n \"acc_stderr\": 0.041665675771015785,\n\ \ \"acc_norm\": 0.503448275862069,\n \"acc_norm_stderr\": 0.041665675771015785\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.2671957671957672,\n \"acc_stderr\": 0.02278967314577657,\n \"\ acc_norm\": 0.2671957671957672,\n \"acc_norm_stderr\": 0.02278967314577657\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.25396825396825395,\n\ \ \"acc_stderr\": 0.038932596106046734,\n \"acc_norm\": 0.25396825396825395,\n\ \ \"acc_norm_stderr\": 0.038932596106046734\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.5419354838709678,\n \"acc_stderr\": 0.028343787250540618,\n \"\ acc_norm\": 0.5419354838709678,\n \"acc_norm_stderr\": 0.028343787250540618\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.39408866995073893,\n \"acc_stderr\": 0.03438157967036543,\n \"\ acc_norm\": 0.39408866995073893,\n \"acc_norm_stderr\": 0.03438157967036543\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\"\ : 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.6121212121212121,\n \"acc_stderr\": 0.038049136539710114,\n\ \ \"acc_norm\": 0.6121212121212121,\n \"acc_norm_stderr\": 0.038049136539710114\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.6313131313131313,\n \"acc_stderr\": 0.03437305501980619,\n \"\ acc_norm\": 0.6313131313131313,\n \"acc_norm_stderr\": 0.03437305501980619\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.7357512953367875,\n \"acc_stderr\": 0.03182155050916645,\n\ \ \"acc_norm\": 0.7357512953367875,\n \"acc_norm_stderr\": 0.03182155050916645\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.4230769230769231,\n \"acc_stderr\": 0.02504919787604234,\n \ \ \"acc_norm\": 0.4230769230769231,\n \"acc_norm_stderr\": 0.02504919787604234\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.2518518518518518,\n \"acc_stderr\": 0.02646611753895992,\n \ \ \"acc_norm\": 0.2518518518518518,\n \"acc_norm_stderr\": 0.02646611753895992\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.42436974789915966,\n \"acc_stderr\": 0.032104790510157764,\n\ \ \"acc_norm\": 0.42436974789915966,\n \"acc_norm_stderr\": 0.032104790510157764\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.2913907284768212,\n \"acc_stderr\": 0.03710185726119995,\n \"\ acc_norm\": 0.2913907284768212,\n \"acc_norm_stderr\": 0.03710185726119995\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.673394495412844,\n \"acc_stderr\": 0.020106990889937306,\n \"\ acc_norm\": 0.673394495412844,\n \"acc_norm_stderr\": 0.020106990889937306\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.32407407407407407,\n \"acc_stderr\": 0.03191923445686185,\n \"\ acc_norm\": 0.32407407407407407,\n \"acc_norm_stderr\": 0.03191923445686185\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.6715686274509803,\n \"acc_stderr\": 0.03296245110172229,\n \"\ acc_norm\": 0.6715686274509803,\n \"acc_norm_stderr\": 0.03296245110172229\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.6708860759493671,\n \"acc_stderr\": 0.03058732629470237,\n \ \ \"acc_norm\": 0.6708860759493671,\n \"acc_norm_stderr\": 0.03058732629470237\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5874439461883408,\n\ \ \"acc_stderr\": 0.03304062175449297,\n \"acc_norm\": 0.5874439461883408,\n\ \ \"acc_norm_stderr\": 0.03304062175449297\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.5648854961832062,\n \"acc_stderr\": 0.043482080516448585,\n\ \ \"acc_norm\": 0.5648854961832062,\n \"acc_norm_stderr\": 0.043482080516448585\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.6446280991735537,\n \"acc_stderr\": 0.0436923632657398,\n \"acc_norm\"\ : 0.6446280991735537,\n \"acc_norm_stderr\": 0.0436923632657398\n },\n\ \ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5648148148148148,\n\ \ \"acc_stderr\": 0.04792898170907061,\n \"acc_norm\": 0.5648148148148148,\n\ \ \"acc_norm_stderr\": 0.04792898170907061\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.5214723926380368,\n \"acc_stderr\": 0.03924746876751129,\n\ \ \"acc_norm\": 0.5214723926380368,\n \"acc_norm_stderr\": 0.03924746876751129\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.35714285714285715,\n\ \ \"acc_stderr\": 0.04547960999764376,\n \"acc_norm\": 0.35714285714285715,\n\ \ \"acc_norm_stderr\": 0.04547960999764376\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.6699029126213593,\n \"acc_stderr\": 0.0465614711001235,\n\ \ \"acc_norm\": 0.6699029126213593,\n \"acc_norm_stderr\": 0.0465614711001235\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7136752136752137,\n\ \ \"acc_stderr\": 0.02961432369045665,\n \"acc_norm\": 0.7136752136752137,\n\ \ \"acc_norm_stderr\": 0.02961432369045665\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956913,\n \ \ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956913\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6704980842911877,\n\ \ \"acc_stderr\": 0.01680832226174046,\n \"acc_norm\": 0.6704980842911877,\n\ \ \"acc_norm_stderr\": 0.01680832226174046\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.5115606936416185,\n \"acc_stderr\": 0.02691189868637793,\n\ \ \"acc_norm\": 0.5115606936416185,\n \"acc_norm_stderr\": 0.02691189868637793\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.21452513966480447,\n\ \ \"acc_stderr\": 0.013728923407828829,\n \"acc_norm\": 0.21452513966480447,\n\ \ \"acc_norm_stderr\": 0.013728923407828829\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.5294117647058824,\n \"acc_stderr\": 0.028580341065138286,\n\ \ \"acc_norm\": 0.5294117647058824,\n \"acc_norm_stderr\": 0.028580341065138286\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5787781350482315,\n\ \ \"acc_stderr\": 0.028043399858210628,\n \"acc_norm\": 0.5787781350482315,\n\ \ \"acc_norm_stderr\": 0.028043399858210628\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.5370370370370371,\n \"acc_stderr\": 0.027744313443376536,\n\ \ \"acc_norm\": 0.5370370370370371,\n \"acc_norm_stderr\": 0.027744313443376536\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.375886524822695,\n \"acc_stderr\": 0.028893955412115886,\n \ \ \"acc_norm\": 0.375886524822695,\n \"acc_norm_stderr\": 0.028893955412115886\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3468057366362451,\n\ \ \"acc_stderr\": 0.01215607133231871,\n \"acc_norm\": 0.3468057366362451,\n\ \ \"acc_norm_stderr\": 0.01215607133231871\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.45588235294117646,\n \"acc_stderr\": 0.030254372573976684,\n\ \ \"acc_norm\": 0.45588235294117646,\n \"acc_norm_stderr\": 0.030254372573976684\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.4722222222222222,\n \"acc_stderr\": 0.02019659493354119,\n \ \ \"acc_norm\": 0.4722222222222222,\n \"acc_norm_stderr\": 0.02019659493354119\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5363636363636364,\n\ \ \"acc_stderr\": 0.04776449162396197,\n \"acc_norm\": 0.5363636363636364,\n\ \ \"acc_norm_stderr\": 0.04776449162396197\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.5020408163265306,\n \"acc_stderr\": 0.0320089533497105,\n\ \ \"acc_norm\": 0.5020408163265306,\n \"acc_norm_stderr\": 0.0320089533497105\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.5970149253731343,\n\ \ \"acc_stderr\": 0.034683432951111266,\n \"acc_norm\": 0.5970149253731343,\n\ \ \"acc_norm_stderr\": 0.034683432951111266\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621505,\n \ \ \"acc_norm\": 0.68,\n \"acc_norm_stderr\": 0.04688261722621505\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.42168674698795183,\n\ \ \"acc_stderr\": 0.03844453181770917,\n \"acc_norm\": 0.42168674698795183,\n\ \ \"acc_norm_stderr\": 0.03844453181770917\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.695906432748538,\n \"acc_stderr\": 0.0352821125824523,\n\ \ \"acc_norm\": 0.695906432748538,\n \"acc_norm_stderr\": 0.0352821125824523\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.30599755201958384,\n\ \ \"mc1_stderr\": 0.016132229728155048,\n \"mc2\": 0.4434954243772988,\n\ \ \"mc2_stderr\": 0.015186242659563755\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7198105761641673,\n \"acc_stderr\": 0.012621707979798499\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.2001516300227445,\n \ \ \"acc_stderr\": 0.011021119022510186\n }\n}\n```" repo_url: https://huggingface.co/XuanXuanXuanXuan/Llama-2-7b-chat-hf-gpt-3.5-80k 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_15T09_33_35.704482 path: - '**/details_harness|arc:challenge|25_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-15T09-33-35.704482.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|gsm8k|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hellaswag|10_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-15T09-33-35.704482.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-management|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-15T09-33-35.704482.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|truthfulqa:mc|0_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-15T09-33-35.704482.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_15T09_33_35.704482 path: - '**/details_harness|winogrande|5_2024-03-15T09-33-35.704482.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-15T09-33-35.704482.parquet' - config_name: results data_files: - split: 2024_03_15T09_33_35.704482 path: - results_2024-03-15T09-33-35.704482.parquet - split: latest path: - results_2024-03-15T09-33-35.704482.parquet --- # Dataset Card for Evaluation run of XuanXuanXuanXuan/Llama-2-7b-chat-hf-gpt-3.5-80k <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [XuanXuanXuanXuan/Llama-2-7b-chat-hf-gpt-3.5-80k](https://huggingface.co/XuanXuanXuanXuan/Llama-2-7b-chat-hf-gpt-3.5-80k) 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_XuanXuanXuanXuan__Llama-2-7b-chat-hf-gpt-3.5-80k", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-15T09:33:35.704482](https://huggingface.co/datasets/open-llm-leaderboard/details_XuanXuanXuanXuan__Llama-2-7b-chat-hf-gpt-3.5-80k/blob/main/results_2024-03-15T09-33-35.704482.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": 0.4821817880712927, "acc_stderr": 0.03434192787348354, "acc_norm": 0.48689446095974903, "acc_norm_stderr": 0.03509541912860815, "mc1": 0.30599755201958384, "mc1_stderr": 0.016132229728155048, "mc2": 0.4434954243772988, "mc2_stderr": 0.015186242659563755 }, "harness|arc:challenge|25": { "acc": 0.47952218430034127, "acc_stderr": 0.01459913135303501, "acc_norm": 0.5204778156996587, "acc_norm_stderr": 0.014599131353035012 }, "harness|hellaswag|10": { "acc": 0.5462059350726947, "acc_stderr": 0.004968429476345026, "acc_norm": 0.7388966341366262, "acc_norm_stderr": 0.004383384784038477 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.3, "acc_stderr": 0.04605661864718381, "acc_norm": 0.3, "acc_norm_stderr": 0.04605661864718381 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4148148148148148, "acc_stderr": 0.042561937679014075, "acc_norm": 0.4148148148148148, "acc_norm_stderr": 0.042561937679014075 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.4868421052631579, "acc_stderr": 0.04067533136309173, "acc_norm": 0.4868421052631579, "acc_norm_stderr": 0.04067533136309173 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5358490566037736, "acc_stderr": 0.030693675018458003, "acc_norm": 0.5358490566037736, "acc_norm_stderr": 0.030693675018458003 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.5416666666666666, "acc_stderr": 0.04166666666666665, "acc_norm": 0.5416666666666666, "acc_norm_stderr": 0.04166666666666665 }, "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": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4046242774566474, "acc_stderr": 0.03742461193887248, "acc_norm": 0.4046242774566474, "acc_norm_stderr": 0.03742461193887248 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.19607843137254902, "acc_stderr": 0.03950581861179963, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.03950581861179963 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4127659574468085, "acc_stderr": 0.03218471141400351, "acc_norm": 0.4127659574468085, "acc_norm_stderr": 0.03218471141400351 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.39473684210526316, "acc_stderr": 0.045981880578165414, "acc_norm": 0.39473684210526316, "acc_norm_stderr": 0.045981880578165414 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.503448275862069, "acc_stderr": 0.041665675771015785, "acc_norm": 0.503448275862069, "acc_norm_stderr": 0.041665675771015785 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2671957671957672, "acc_stderr": 0.02278967314577657, "acc_norm": 0.2671957671957672, "acc_norm_stderr": 0.02278967314577657 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.25396825396825395, "acc_stderr": 0.038932596106046734, "acc_norm": 0.25396825396825395, "acc_norm_stderr": 0.038932596106046734 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5419354838709678, "acc_stderr": 0.028343787250540618, "acc_norm": 0.5419354838709678, "acc_norm_stderr": 0.028343787250540618 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.39408866995073893, "acc_stderr": 0.03438157967036543, "acc_norm": 0.39408866995073893, "acc_norm_stderr": 0.03438157967036543 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6121212121212121, "acc_stderr": 0.038049136539710114, "acc_norm": 0.6121212121212121, "acc_norm_stderr": 0.038049136539710114 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.6313131313131313, "acc_stderr": 0.03437305501980619, "acc_norm": 0.6313131313131313, "acc_norm_stderr": 0.03437305501980619 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7357512953367875, "acc_stderr": 0.03182155050916645, "acc_norm": 0.7357512953367875, "acc_norm_stderr": 0.03182155050916645 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4230769230769231, "acc_stderr": 0.02504919787604234, "acc_norm": 0.4230769230769231, "acc_norm_stderr": 0.02504919787604234 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2518518518518518, "acc_stderr": 0.02646611753895992, "acc_norm": 0.2518518518518518, "acc_norm_stderr": 0.02646611753895992 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.42436974789915966, "acc_stderr": 0.032104790510157764, "acc_norm": 0.42436974789915966, "acc_norm_stderr": 0.032104790510157764 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.2913907284768212, "acc_stderr": 0.03710185726119995, "acc_norm": 0.2913907284768212, "acc_norm_stderr": 0.03710185726119995 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.673394495412844, "acc_stderr": 0.020106990889937306, "acc_norm": 0.673394495412844, "acc_norm_stderr": 0.020106990889937306 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.32407407407407407, "acc_stderr": 0.03191923445686185, "acc_norm": 0.32407407407407407, "acc_norm_stderr": 0.03191923445686185 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.6715686274509803, "acc_stderr": 0.03296245110172229, "acc_norm": 0.6715686274509803, "acc_norm_stderr": 0.03296245110172229 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.6708860759493671, "acc_stderr": 0.03058732629470237, "acc_norm": 0.6708860759493671, "acc_norm_stderr": 0.03058732629470237 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.5874439461883408, "acc_stderr": 0.03304062175449297, "acc_norm": 0.5874439461883408, "acc_norm_stderr": 0.03304062175449297 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.5648854961832062, "acc_stderr": 0.043482080516448585, "acc_norm": 0.5648854961832062, "acc_norm_stderr": 0.043482080516448585 }, "harness|hendrycksTest-international_law|5": { "acc": 0.6446280991735537, "acc_stderr": 0.0436923632657398, "acc_norm": 0.6446280991735537, "acc_norm_stderr": 0.0436923632657398 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.5648148148148148, "acc_stderr": 0.04792898170907061, "acc_norm": 0.5648148148148148, "acc_norm_stderr": 0.04792898170907061 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.5214723926380368, "acc_stderr": 0.03924746876751129, "acc_norm": 0.5214723926380368, "acc_norm_stderr": 0.03924746876751129 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.35714285714285715, "acc_stderr": 0.04547960999764376, "acc_norm": 0.35714285714285715, "acc_norm_stderr": 0.04547960999764376 }, "harness|hendrycksTest-management|5": { "acc": 0.6699029126213593, "acc_stderr": 0.0465614711001235, "acc_norm": 0.6699029126213593, "acc_norm_stderr": 0.0465614711001235 }, "harness|hendrycksTest-marketing|5": { "acc": 0.7136752136752137, "acc_stderr": 0.02961432369045665, "acc_norm": 0.7136752136752137, "acc_norm_stderr": 0.02961432369045665 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.51, "acc_stderr": 0.05024183937956913, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956913 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.6704980842911877, "acc_stderr": 0.01680832226174046, "acc_norm": 0.6704980842911877, "acc_norm_stderr": 0.01680832226174046 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.5115606936416185, "acc_stderr": 0.02691189868637793, "acc_norm": 0.5115606936416185, "acc_norm_stderr": 0.02691189868637793 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.21452513966480447, "acc_stderr": 0.013728923407828829, "acc_norm": 0.21452513966480447, "acc_norm_stderr": 0.013728923407828829 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.5294117647058824, "acc_stderr": 0.028580341065138286, "acc_norm": 0.5294117647058824, "acc_norm_stderr": 0.028580341065138286 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.5787781350482315, "acc_stderr": 0.028043399858210628, "acc_norm": 0.5787781350482315, "acc_norm_stderr": 0.028043399858210628 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.5370370370370371, "acc_stderr": 0.027744313443376536, "acc_norm": 0.5370370370370371, "acc_norm_stderr": 0.027744313443376536 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.375886524822695, "acc_stderr": 0.028893955412115886, "acc_norm": 0.375886524822695, "acc_norm_stderr": 0.028893955412115886 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.3468057366362451, "acc_stderr": 0.01215607133231871, "acc_norm": 0.3468057366362451, "acc_norm_stderr": 0.01215607133231871 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.45588235294117646, "acc_stderr": 0.030254372573976684, "acc_norm": 0.45588235294117646, "acc_norm_stderr": 0.030254372573976684 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.4722222222222222, "acc_stderr": 0.02019659493354119, "acc_norm": 0.4722222222222222, "acc_norm_stderr": 0.02019659493354119 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.5363636363636364, "acc_stderr": 0.04776449162396197, "acc_norm": 0.5363636363636364, "acc_norm_stderr": 0.04776449162396197 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.5020408163265306, "acc_stderr": 0.0320089533497105, "acc_norm": 0.5020408163265306, "acc_norm_stderr": 0.0320089533497105 }, "harness|hendrycksTest-sociology|5": { "acc": 0.5970149253731343, "acc_stderr": 0.034683432951111266, "acc_norm": 0.5970149253731343, "acc_norm_stderr": 0.034683432951111266 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.68, "acc_stderr": 0.04688261722621505, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621505 }, "harness|hendrycksTest-virology|5": { "acc": 0.42168674698795183, "acc_stderr": 0.03844453181770917, "acc_norm": 0.42168674698795183, "acc_norm_stderr": 0.03844453181770917 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.695906432748538, "acc_stderr": 0.0352821125824523, "acc_norm": 0.695906432748538, "acc_norm_stderr": 0.0352821125824523 }, "harness|truthfulqa:mc|0": { "mc1": 0.30599755201958384, "mc1_stderr": 0.016132229728155048, "mc2": 0.4434954243772988, "mc2_stderr": 0.015186242659563755 }, "harness|winogrande|5": { "acc": 0.7198105761641673, "acc_stderr": 0.012621707979798499 }, "harness|gsm8k|5": { "acc": 0.2001516300227445, "acc_stderr": 0.011021119022510186 } } ``` ## 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. --> ### 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提供机构:
open-llm-leaderboard
原始信息汇总

数据集概述

数据集摘要

该数据集是在模型XuanXuanXuanXuan/Llama-2-7b-chat-hf-gpt-3.5-80kOpen LLM Leaderboard上的评估运行期间自动创建的。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作为一个特定的分片找到,分片名称使用运行的时间戳。"train"分片始终指向最新的结果。

数据集结构

数据集包含63个配置,每个配置对应一个评估任务。每个配置包含以下分片:

  • 特定时间戳的分片:包含该次运行的详细结果。
  • "latest"分片:始终指向最新的结果。

加载数据集示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_XuanXuanXuanXuan__Llama-2-7b-chat-hf-gpt-3.5-80k", "harness_winogrande_5", split="train")

最新结果

以下是最新结果的摘要: python { "all": { "acc": 0.4821817880712927, "acc_stderr": 0.03434192787348354, "acc_norm": 0.48689446095974903, "acc_norm_stderr": 0.03509541912860815, "mc1": 0.30599755201958384, "mc1_stderr": 0.016132229728155048, "mc2": 0.4434954243772988, "mc2_stderr": 0.015186242659563755 }, "harness|arc:challenge|25": { "acc": 0.47952218430034127, "acc_stderr": 0.01459913135303501, "acc_norm": 0.5204778156996587, "acc_norm_stderr": 0.014599131353035012 }, "harness|hellaswag|10": { "acc": 0.5462059350726947, "acc_stderr": 0.004968429476345026, "acc_norm": 0.7388966341366262, "acc_norm_stderr": 0.004383384784038477 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.3, "acc_stderr": 0.04605661864718381, "acc_norm": 0.3, "acc_norm_stderr": 0.04605661864718381 }, # 其他任务的结果... }

配置详情

数据集包含多个配置,每个配置对应一个评估任务。以下是部分配置的示例:

  • harness_arc_challenge_25
  • harness_gsm8k_5
  • harness_hellaswag_10
  • harness_hendrycksTest_5

每个配置包含特定时间戳的分片和"latest"分片,指向最新的结果。

搜集汇总
数据集介绍
open-llm-leaderboard/details_XuanXuanXuanXuan__Llama-2-7b-chat-hf-gpt-3.5-80k 数据集图片
构建方式
在大型语言模型评估领域,该数据集是专为Open LLM Leaderboard对模型XuanXuanXuanXuan/Llama-2-7b-chat-hf-gpt-3.5-80k进行评测而自动生成的产物。其构建过程基于一次完整的评测运行,涵盖了63个不同的配置项,每个配置对应一项被评估的任务。数据集以Parquet格式存储,通过时间戳标记每次运行的特定分割,其中“train”分割始终指向最新结果。此外,一个名为“results”的额外配置汇总了所有聚合指标,用于在排行榜上展示综合表现。这种自动化构建方式确保了数据与评测流程的紧密耦合,为后续分析提供了标准化基础。
特点
该数据集的结构设计体现了高度的系统性与可追溯性。其核心特征在于多配置架构,每个配置独立封装一项任务的评估细节,如ARC挑战赛、HellaSwag、GSM8K等,便于研究者按需聚焦。数据分割采用时间戳命名,忠实记录了每次运行的原始状态,而“latest”分割则动态更新至最新结果,兼顾了历史回溯与实时追踪的需求。这种设计不仅支持细粒度的性能分析,还通过“results”配置提供了全局视角,使模型在多个维度上的表现一目了然,为比较研究奠定了坚实基础。
使用方法
使用该数据集时,研究者可通过HuggingFace的datasets库便捷加载。例如,调用load_dataset函数并指定数据集名称及目标配置,如“harness_winogrande_5”,即可获取该任务的评估数据。通过设定split参数为“train”,可访问最新运行结果。若需深入分析特定历史版本,则可利用时间戳分割名进行精确检索。这种灵活的加载机制支持从单一任务到跨任务对比的多种研究场景,结合Parquet格式的高效存储,可无缝集成至Python工作流中,实现对模型性能的快速复现与深度挖掘。
背景与挑战
背景概述
随着大语言模型(LLM)技术的迅猛发展,如何系统性地评估模型在多样化任务上的综合能力成为学术界与工业界共同关注的核心议题。在此背景下,HuggingFace社区于2023年推出了Open LLM Leaderboard,旨在通过标准化基准测试为研究者提供模型性能的透明对比平台。该数据集由HuggingFace团队于2024年3月创建,主要研究人员包括Clémentine Fourrier等,其核心研究问题聚焦于量化评估模型在推理、常识理解、数学解题及多领域知识问答等维度的表现。通过对XuanXuanXuanXuan/Llama-2-7b-chat-hf-gpt-3.5-80k模型的评估,该数据集记录了63项配置任务的详尽结果,为后续模型优化提供了可靠的性能基线,并推动了LLM评估范式的规范化进程。
当前挑战
当前数据集面临的核心挑战主要体现在领域问题解决与构建过程两大层面。在领域问题层面,LLM评估需覆盖从常识推理(如HellaSwag)到数学推理(如GSM8K)的广泛能力,但模型在抽象代数、大学物理等专业学科上的准确率不足30%,暴露出跨领域知识泛化的显著瓶颈。构建过程中,数据集的自动化生成机制需确保63项任务配置的评测一致性,然而不同任务间的采样策略(如few-shot设置中的k值差异)与指标计算方式(如acc与acc_norm的区分)可能引入系统性偏差。此外,评估结果的时间戳管理要求对增量更新的模型版本进行严格溯源,以避免数据污染与结果混淆,这对持续维护的工程架构提出了较高要求。
常用场景
经典使用场景
该数据集作为Open LLM Leaderboard的评估结果记录,专用于对大型语言模型在多样化基准任务上的性能进行系统性评测。其经典使用场景涵盖了对Llama-2-7b-chat-hf-gpt-3.5-80k模型在ARC-Challenge、HellaSwag、MMLU(涵盖抽象代数、解剖学、天文学等57个学科)、TruthfulQA、Winogrande以及GSM8K等任务上的表现进行细粒度分析。研究者可通过加载不同配置的评估子集,深入探究模型在常识推理、世界知识、数学计算及语言理解等维度的能力边界。
解决学术问题
该数据集有效解决了大型语言模型评估标准化与可复现性的学术难题。通过提供63个配置的细粒度评估结果,它使得研究者能够系统性地比较模型在不同难度与类型任务上的性能差异,尤其针对模型在MMLU多学科知识测试中的薄弱环节(如大学物理仅19.6%准确率)与优势领域(如高中美国历史达67.2%准确率)进行精准诊断。这为理解模型知识覆盖的广度与深度、识别能力缺陷提供了量化依据,推动了语言模型评测范式的规范化发展。
衍生相关工作
该数据集衍生了一系列关于模型评估与改进的经典工作。其评估结果常被用于验证新型微调策略(如RLHF、指令微调)的有效性,研究者通过对比本数据集的基线表现,量化改进幅度。此外,MMLU子任务的细粒度结果催生了知识增强型模型的研究,例如针对模型在形式逻辑(25.4%)、大学数学(37.0%)等低分领域的专项训练方法。HellaSwag中73.9%的归一化准确率则成为评估模型常识推理能力的基准参考,启发了对抗性样本生成与鲁棒性提升的相关研究。
以上内容由遇见数据集搜集并总结生成
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