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open-llm-leaderboard/details_johnsnowlabs__PhigRange-2.7B-slerp

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Hugging Face2024-04-09 更新2024-06-11 收录
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https://hf-mirror.com/datasets/open-llm-leaderboard/details_johnsnowlabs__PhigRange-2.7B-slerp
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--- pretty_name: Evaluation run of johnsnowlabs/PhigRange-2.7B-slerp dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [johnsnowlabs/PhigRange-2.7B-slerp](https://huggingface.co/johnsnowlabs/PhigRange-2.7B-slerp)\ \ 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_johnsnowlabs__PhigRange-2.7B-slerp\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-09T23:28:00.860067](https://huggingface.co/datasets/open-llm-leaderboard/details_johnsnowlabs__PhigRange-2.7B-slerp/blob/main/results_2024-04-09T23-28-00.860067.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\": 0.2346565602684817,\n\ \ \"acc_stderr\": 0.029941751455701507,\n \"acc_norm\": 0.2350571738760513,\n\ \ \"acc_norm_stderr\": 0.03073212900737563,\n \"mc1\": 0.23378212974296206,\n\ \ \"mc1_stderr\": 0.014816195991931598,\n \"mc2\": 0.4844398937149579,\n\ \ \"mc2_stderr\": 0.01666642030156188\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.22781569965870307,\n \"acc_stderr\": 0.012256708602326924,\n\ \ \"acc_norm\": 0.2721843003412969,\n \"acc_norm_stderr\": 0.013006600406423707\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.2582154949213304,\n\ \ \"acc_stderr\": 0.004367586801776664,\n \"acc_norm\": 0.26777534355706034,\n\ \ \"acc_norm_stderr\": 0.004418948941099403\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.14814814814814814,\n\ \ \"acc_stderr\": 0.030688647610352657,\n \"acc_norm\": 0.14814814814814814,\n\ \ \"acc_norm_stderr\": 0.030688647610352657\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.2894736842105263,\n \"acc_stderr\": 0.03690677986137282,\n\ \ \"acc_norm\": 0.2894736842105263,\n \"acc_norm_stderr\": 0.03690677986137282\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.27,\n\ \ \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\": 0.27,\n \ \ \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.2339622641509434,\n \"acc_stderr\": 0.02605529690115292,\n\ \ \"acc_norm\": 0.2339622641509434,\n \"acc_norm_stderr\": 0.02605529690115292\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.22916666666666666,\n\ \ \"acc_stderr\": 0.03514697467862388,\n \"acc_norm\": 0.22916666666666666,\n\ \ \"acc_norm_stderr\": 0.03514697467862388\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.22,\n \"acc_stderr\": 0.04163331998932269,\n \ \ \"acc_norm\": 0.22,\n \"acc_norm_stderr\": 0.04163331998932269\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.2,\n \"acc_stderr\": 0.04020151261036845,\n \"acc_norm\": 0.2,\n\ \ \"acc_norm_stderr\": 0.04020151261036845\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816505,\n \ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816505\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.24855491329479767,\n\ \ \"acc_stderr\": 0.03295304696818318,\n \"acc_norm\": 0.24855491329479767,\n\ \ \"acc_norm_stderr\": 0.03295304696818318\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.2549019607843137,\n \"acc_stderr\": 0.04336432707993177,\n\ \ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.04336432707993177\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.23,\n \"acc_stderr\": 0.042295258468165065,\n \"acc_norm\": 0.23,\n\ \ \"acc_norm_stderr\": 0.042295258468165065\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.24680851063829787,\n \"acc_stderr\": 0.028185441301234102,\n\ \ \"acc_norm\": 0.24680851063829787,\n \"acc_norm_stderr\": 0.028185441301234102\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.19298245614035087,\n\ \ \"acc_stderr\": 0.037124548537213684,\n \"acc_norm\": 0.19298245614035087,\n\ \ \"acc_norm_stderr\": 0.037124548537213684\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.22758620689655173,\n \"acc_stderr\": 0.03493950380131184,\n\ \ \"acc_norm\": 0.22758620689655173,\n \"acc_norm_stderr\": 0.03493950380131184\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.2566137566137566,\n \"acc_stderr\": 0.022494510767503154,\n \"\ acc_norm\": 0.2566137566137566,\n \"acc_norm_stderr\": 0.022494510767503154\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.23015873015873015,\n\ \ \"acc_stderr\": 0.037649508797906066,\n \"acc_norm\": 0.23015873015873015,\n\ \ \"acc_norm_stderr\": 0.037649508797906066\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\"\ : 0.2645161290322581,\n \"acc_stderr\": 0.02509189237885928,\n \"\ acc_norm\": 0.2645161290322581,\n \"acc_norm_stderr\": 0.02509189237885928\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.270935960591133,\n \"acc_stderr\": 0.031270907132977,\n \"acc_norm\"\ : 0.270935960591133,\n \"acc_norm_stderr\": 0.031270907132977\n },\n \ \ \"harness|hendrycksTest-high_school_computer_science|5\": {\n \"acc\"\ : 0.27,\n \"acc_stderr\": 0.0446196043338474,\n \"acc_norm\": 0.27,\n\ \ \"acc_norm_stderr\": 0.0446196043338474\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.19393939393939394,\n \"acc_stderr\": 0.0308741451365621,\n\ \ \"acc_norm\": 0.19393939393939394,\n \"acc_norm_stderr\": 0.0308741451365621\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.20707070707070707,\n \"acc_stderr\": 0.028869778460267042,\n \"\ acc_norm\": 0.20707070707070707,\n \"acc_norm_stderr\": 0.028869778460267042\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.26424870466321243,\n \"acc_stderr\": 0.031821550509166484,\n\ \ \"acc_norm\": 0.26424870466321243,\n \"acc_norm_stderr\": 0.031821550509166484\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.2923076923076923,\n \"acc_stderr\": 0.023060438380857744,\n\ \ \"acc_norm\": 0.2923076923076923,\n \"acc_norm_stderr\": 0.023060438380857744\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.2740740740740741,\n \"acc_stderr\": 0.027195934804085622,\n \ \ \"acc_norm\": 0.2740740740740741,\n \"acc_norm_stderr\": 0.027195934804085622\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.2605042016806723,\n \"acc_stderr\": 0.028510251512341926,\n\ \ \"acc_norm\": 0.2605042016806723,\n \"acc_norm_stderr\": 0.028510251512341926\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.23841059602649006,\n \"acc_stderr\": 0.0347918557259966,\n \"\ acc_norm\": 0.23841059602649006,\n \"acc_norm_stderr\": 0.0347918557259966\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.23119266055045873,\n \"acc_stderr\": 0.01807575024163316,\n \"\ acc_norm\": 0.23119266055045873,\n \"acc_norm_stderr\": 0.01807575024163316\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.23148148148148148,\n \"acc_stderr\": 0.02876511171804694,\n \"\ acc_norm\": 0.23148148148148148,\n \"acc_norm_stderr\": 0.02876511171804694\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.1568627450980392,\n \"acc_stderr\": 0.025524722324553346,\n \"\ acc_norm\": 0.1568627450980392,\n \"acc_norm_stderr\": 0.025524722324553346\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.1729957805907173,\n \"acc_stderr\": 0.024621562866768424,\n \ \ \"acc_norm\": 0.1729957805907173,\n \"acc_norm_stderr\": 0.024621562866768424\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.21973094170403587,\n\ \ \"acc_stderr\": 0.027790177064383602,\n \"acc_norm\": 0.21973094170403587,\n\ \ \"acc_norm_stderr\": 0.027790177064383602\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.1984732824427481,\n \"acc_stderr\": 0.03498149385462472,\n\ \ \"acc_norm\": 0.1984732824427481,\n \"acc_norm_stderr\": 0.03498149385462472\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.32231404958677684,\n \"acc_stderr\": 0.042664163633521664,\n \"\ acc_norm\": 0.32231404958677684,\n \"acc_norm_stderr\": 0.042664163633521664\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.25,\n\ \ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.25,\n \ \ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.22085889570552147,\n \"acc_stderr\": 0.032591773927421776,\n\ \ \"acc_norm\": 0.22085889570552147,\n \"acc_norm_stderr\": 0.032591773927421776\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.26785714285714285,\n\ \ \"acc_stderr\": 0.04203277291467763,\n \"acc_norm\": 0.26785714285714285,\n\ \ \"acc_norm_stderr\": 0.04203277291467763\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.13592233009708737,\n \"acc_stderr\": 0.0339329572976101,\n\ \ \"acc_norm\": 0.13592233009708737,\n \"acc_norm_stderr\": 0.0339329572976101\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.19230769230769232,\n\ \ \"acc_stderr\": 0.025819233256483713,\n \"acc_norm\": 0.19230769230769232,\n\ \ \"acc_norm_stderr\": 0.025819233256483713\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.18,\n \"acc_stderr\": 0.038612291966536955,\n \ \ \"acc_norm\": 0.18,\n \"acc_norm_stderr\": 0.038612291966536955\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.23116219667943805,\n\ \ \"acc_stderr\": 0.015075523238101088,\n \"acc_norm\": 0.23116219667943805,\n\ \ \"acc_norm_stderr\": 0.015075523238101088\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.17341040462427745,\n \"acc_stderr\": 0.020383229551135022,\n\ \ \"acc_norm\": 0.17341040462427745,\n \"acc_norm_stderr\": 0.020383229551135022\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24692737430167597,\n\ \ \"acc_stderr\": 0.014422292204808868,\n \"acc_norm\": 0.24692737430167597,\n\ \ \"acc_norm_stderr\": 0.014422292204808868\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.24509803921568626,\n \"acc_stderr\": 0.02463004897982476,\n\ \ \"acc_norm\": 0.24509803921568626,\n \"acc_norm_stderr\": 0.02463004897982476\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.24758842443729903,\n\ \ \"acc_stderr\": 0.024513879973621967,\n \"acc_norm\": 0.24758842443729903,\n\ \ \"acc_norm_stderr\": 0.024513879973621967\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.2191358024691358,\n \"acc_stderr\": 0.02301670564026219,\n\ \ \"acc_norm\": 0.2191358024691358,\n \"acc_norm_stderr\": 0.02301670564026219\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.24822695035460993,\n \"acc_stderr\": 0.025770015644290396,\n \ \ \"acc_norm\": 0.24822695035460993,\n \"acc_norm_stderr\": 0.025770015644290396\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2620599739243807,\n\ \ \"acc_stderr\": 0.011231552795890394,\n \"acc_norm\": 0.2620599739243807,\n\ \ \"acc_norm_stderr\": 0.011231552795890394\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.29411764705882354,\n \"acc_stderr\": 0.027678468642144703,\n\ \ \"acc_norm\": 0.29411764705882354,\n \"acc_norm_stderr\": 0.027678468642144703\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.24673202614379086,\n \"acc_stderr\": 0.017440820367402493,\n \ \ \"acc_norm\": 0.24673202614379086,\n \"acc_norm_stderr\": 0.017440820367402493\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.24545454545454545,\n\ \ \"acc_stderr\": 0.04122066502878284,\n \"acc_norm\": 0.24545454545454545,\n\ \ \"acc_norm_stderr\": 0.04122066502878284\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.2,\n \"acc_stderr\": 0.025607375986579167,\n \ \ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.025607375986579167\n \ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.22388059701492538,\n\ \ \"acc_stderr\": 0.029475250236017162,\n \"acc_norm\": 0.22388059701492538,\n\ \ \"acc_norm_stderr\": 0.029475250236017162\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816505,\n \ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816505\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.20481927710843373,\n\ \ \"acc_stderr\": 0.03141784291663925,\n \"acc_norm\": 0.20481927710843373,\n\ \ \"acc_norm_stderr\": 0.03141784291663925\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.17543859649122806,\n \"acc_stderr\": 0.02917088550072767,\n\ \ \"acc_norm\": 0.17543859649122806,\n \"acc_norm_stderr\": 0.02917088550072767\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.23378212974296206,\n\ \ \"mc1_stderr\": 0.014816195991931598,\n \"mc2\": 0.4844398937149579,\n\ \ \"mc2_stderr\": 0.01666642030156188\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.4996053670086819,\n \"acc_stderr\": 0.014052481306049512\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n }\n}\n```" repo_url: https://huggingface.co/johnsnowlabs/PhigRange-2.7B-slerp leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|arc:challenge|25_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-04-09T23-28-00.860067.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|gsm8k|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hellaswag|10_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-09T23-28-00.860067.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-management|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-virology|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-09T23-28-00.860067.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|truthfulqa:mc|0_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-04-09T23-28-00.860067.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_04_09T23_28_00.860067 path: - '**/details_harness|winogrande|5_2024-04-09T23-28-00.860067.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-04-09T23-28-00.860067.parquet' - config_name: results data_files: - split: 2024_04_09T23_28_00.860067 path: - results_2024-04-09T23-28-00.860067.parquet - split: latest path: - results_2024-04-09T23-28-00.860067.parquet --- # Dataset Card for Evaluation run of johnsnowlabs/PhigRange-2.7B-slerp <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [johnsnowlabs/PhigRange-2.7B-slerp](https://huggingface.co/johnsnowlabs/PhigRange-2.7B-slerp) 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_johnsnowlabs__PhigRange-2.7B-slerp", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-09T23:28:00.860067](https://huggingface.co/datasets/open-llm-leaderboard/details_johnsnowlabs__PhigRange-2.7B-slerp/blob/main/results_2024-04-09T23-28-00.860067.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": 0.2346565602684817, "acc_stderr": 0.029941751455701507, "acc_norm": 0.2350571738760513, "acc_norm_stderr": 0.03073212900737563, "mc1": 0.23378212974296206, "mc1_stderr": 0.014816195991931598, "mc2": 0.4844398937149579, "mc2_stderr": 0.01666642030156188 }, "harness|arc:challenge|25": { "acc": 0.22781569965870307, "acc_stderr": 0.012256708602326924, "acc_norm": 0.2721843003412969, "acc_norm_stderr": 0.013006600406423707 }, "harness|hellaswag|10": { "acc": 0.2582154949213304, "acc_stderr": 0.004367586801776664, "acc_norm": 0.26777534355706034, "acc_norm_stderr": 0.004418948941099403 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.14814814814814814, "acc_stderr": 0.030688647610352657, "acc_norm": 0.14814814814814814, "acc_norm_stderr": 0.030688647610352657 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.2894736842105263, "acc_stderr": 0.03690677986137282, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.03690677986137282 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2339622641509434, "acc_stderr": 0.02605529690115292, "acc_norm": 0.2339622641509434, "acc_norm_stderr": 0.02605529690115292 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.22916666666666666, "acc_stderr": 0.03514697467862388, "acc_norm": 0.22916666666666666, "acc_norm_stderr": 0.03514697467862388 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.2, "acc_stderr": 0.04020151261036845, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.23, "acc_stderr": 0.04229525846816505, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.24855491329479767, "acc_stderr": 0.03295304696818318, "acc_norm": 0.24855491329479767, "acc_norm_stderr": 0.03295304696818318 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2549019607843137, "acc_stderr": 0.04336432707993177, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.04336432707993177 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.23, "acc_stderr": 0.042295258468165065, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165065 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.24680851063829787, "acc_stderr": 0.028185441301234102, "acc_norm": 0.24680851063829787, "acc_norm_stderr": 0.028185441301234102 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.19298245614035087, "acc_stderr": 0.037124548537213684, "acc_norm": 0.19298245614035087, "acc_norm_stderr": 0.037124548537213684 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.22758620689655173, "acc_stderr": 0.03493950380131184, "acc_norm": 0.22758620689655173, "acc_norm_stderr": 0.03493950380131184 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2566137566137566, "acc_stderr": 0.022494510767503154, "acc_norm": 0.2566137566137566, "acc_norm_stderr": 0.022494510767503154 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.23015873015873015, "acc_stderr": 0.037649508797906066, "acc_norm": 0.23015873015873015, "acc_norm_stderr": 0.037649508797906066 }, "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": 0.2645161290322581, "acc_stderr": 0.02509189237885928, "acc_norm": 0.2645161290322581, "acc_norm_stderr": 0.02509189237885928 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.270935960591133, "acc_stderr": 0.031270907132977, "acc_norm": 0.270935960591133, "acc_norm_stderr": 0.031270907132977 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.27, "acc_stderr": 0.0446196043338474, "acc_norm": 0.27, "acc_norm_stderr": 0.0446196043338474 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.19393939393939394, "acc_stderr": 0.0308741451365621, "acc_norm": 0.19393939393939394, "acc_norm_stderr": 0.0308741451365621 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.20707070707070707, "acc_stderr": 0.028869778460267042, "acc_norm": 0.20707070707070707, "acc_norm_stderr": 0.028869778460267042 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.26424870466321243, "acc_stderr": 0.031821550509166484, "acc_norm": 0.26424870466321243, "acc_norm_stderr": 0.031821550509166484 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2923076923076923, "acc_stderr": 0.023060438380857744, "acc_norm": 0.2923076923076923, "acc_norm_stderr": 0.023060438380857744 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2740740740740741, "acc_stderr": 0.027195934804085622, "acc_norm": 0.2740740740740741, "acc_norm_stderr": 0.027195934804085622 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.2605042016806723, "acc_stderr": 0.028510251512341926, "acc_norm": 0.2605042016806723, "acc_norm_stderr": 0.028510251512341926 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.23841059602649006, "acc_stderr": 0.0347918557259966, "acc_norm": 0.23841059602649006, "acc_norm_stderr": 0.0347918557259966 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.23119266055045873, "acc_stderr": 0.01807575024163316, "acc_norm": 0.23119266055045873, "acc_norm_stderr": 0.01807575024163316 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.23148148148148148, "acc_stderr": 0.02876511171804694, "acc_norm": 0.23148148148148148, "acc_norm_stderr": 0.02876511171804694 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.1568627450980392, "acc_stderr": 0.025524722324553346, "acc_norm": 0.1568627450980392, "acc_norm_stderr": 0.025524722324553346 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.1729957805907173, "acc_stderr": 0.024621562866768424, "acc_norm": 0.1729957805907173, "acc_norm_stderr": 0.024621562866768424 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.21973094170403587, "acc_stderr": 0.027790177064383602, "acc_norm": 0.21973094170403587, "acc_norm_stderr": 0.027790177064383602 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.1984732824427481, "acc_stderr": 0.03498149385462472, "acc_norm": 0.1984732824427481, "acc_norm_stderr": 0.03498149385462472 }, "harness|hendrycksTest-international_law|5": { "acc": 0.32231404958677684, "acc_stderr": 0.042664163633521664, "acc_norm": 0.32231404958677684, "acc_norm_stderr": 0.042664163633521664 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.25, "acc_stderr": 0.04186091791394607, "acc_norm": 0.25, "acc_norm_stderr": 0.04186091791394607 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.22085889570552147, "acc_stderr": 0.032591773927421776, "acc_norm": 0.22085889570552147, "acc_norm_stderr": 0.032591773927421776 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.26785714285714285, "acc_stderr": 0.04203277291467763, "acc_norm": 0.26785714285714285, "acc_norm_stderr": 0.04203277291467763 }, "harness|hendrycksTest-management|5": { "acc": 0.13592233009708737, "acc_stderr": 0.0339329572976101, "acc_norm": 0.13592233009708737, "acc_norm_stderr": 0.0339329572976101 }, "harness|hendrycksTest-marketing|5": { "acc": 0.19230769230769232, "acc_stderr": 0.025819233256483713, "acc_norm": 0.19230769230769232, "acc_norm_stderr": 0.025819233256483713 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.18, "acc_stderr": 0.038612291966536955, "acc_norm": 0.18, "acc_norm_stderr": 0.038612291966536955 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.23116219667943805, "acc_stderr": 0.015075523238101088, "acc_norm": 0.23116219667943805, "acc_norm_stderr": 0.015075523238101088 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.17341040462427745, "acc_stderr": 0.020383229551135022, "acc_norm": 0.17341040462427745, "acc_norm_stderr": 0.020383229551135022 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.24692737430167597, "acc_stderr": 0.014422292204808868, "acc_norm": 0.24692737430167597, "acc_norm_stderr": 0.014422292204808868 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.24509803921568626, "acc_stderr": 0.02463004897982476, "acc_norm": 0.24509803921568626, "acc_norm_stderr": 0.02463004897982476 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.24758842443729903, "acc_stderr": 0.024513879973621967, "acc_norm": 0.24758842443729903, "acc_norm_stderr": 0.024513879973621967 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.2191358024691358, "acc_stderr": 0.02301670564026219, "acc_norm": 0.2191358024691358, "acc_norm_stderr": 0.02301670564026219 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.24822695035460993, "acc_stderr": 0.025770015644290396, "acc_norm": 0.24822695035460993, "acc_norm_stderr": 0.025770015644290396 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.2620599739243807, "acc_stderr": 0.011231552795890394, "acc_norm": 0.2620599739243807, "acc_norm_stderr": 0.011231552795890394 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.29411764705882354, "acc_stderr": 0.027678468642144703, "acc_norm": 0.29411764705882354, "acc_norm_stderr": 0.027678468642144703 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.24673202614379086, "acc_stderr": 0.017440820367402493, "acc_norm": 0.24673202614379086, "acc_norm_stderr": 0.017440820367402493 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.24545454545454545, "acc_stderr": 0.04122066502878284, "acc_norm": 0.24545454545454545, "acc_norm_stderr": 0.04122066502878284 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.2, "acc_stderr": 0.025607375986579167, "acc_norm": 0.2, "acc_norm_stderr": 0.025607375986579167 }, "harness|hendrycksTest-sociology|5": { "acc": 0.22388059701492538, "acc_stderr": 0.029475250236017162, "acc_norm": 0.22388059701492538, "acc_norm_stderr": 0.029475250236017162 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.23, "acc_stderr": 0.04229525846816505, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-virology|5": { "acc": 0.20481927710843373, "acc_stderr": 0.03141784291663925, "acc_norm": 0.20481927710843373, "acc_norm_stderr": 0.03141784291663925 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.17543859649122806, "acc_stderr": 0.02917088550072767, "acc_norm": 0.17543859649122806, "acc_norm_stderr": 0.02917088550072767 }, "harness|truthfulqa:mc|0": { "mc1": 0.23378212974296206, "mc1_stderr": 0.014816195991931598, "mc2": 0.4844398937149579, "mc2_stderr": 0.01666642030156188 }, "harness|winogrande|5": { "acc": 0.4996053670086819, "acc_stderr": 0.014052481306049512 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 } } ``` ## 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 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提供机构:
open-llm-leaderboard
原始信息汇总

数据集概述

该数据集是在评估模型 johnsnowlabs/PhigRange-2.7B-slerpOpen LLM Leaderboard 上的运行过程中自动创建的。

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作为一个特定的分割找到,分割名称使用运行的时间戳。
  • "train" 分割始终指向最新的结果。
  • 一个额外的配置 "results" 存储所有运行的聚合结果,用于计算和显示 Open LLM Leaderboard 上的聚合指标。

加载数据集示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_johnsnowlabs__PhigRange-2.7B-slerp", "harness_winogrande_5", split="train")

最新结果

以下是 2024-04-09T23:28:00.860067 运行的最新结果

python { "all": { "acc": 0.2346565602684817, "acc_stderr": 0.029941751455701507, "acc_norm": 0.2350571738760513, "acc_norm_stderr": 0.03073212900737563, "mc1": 0.23378212974296206, "mc1_stderr": 0.014816195991931598, "mc2": 0.4844398937149579, "mc2_stderr": 0.01666642030156188 }, "harness|arc:challenge|25": { "acc": 0.22781569965870307, "acc_stderr": 0.012256708602326924, "acc_norm": 0.2721843003412969, "acc_norm_stderr": 0.013006600406423707 }, "harness|hellaswag|10": { "acc": 0.2582154949213304, "acc_stderr": 0.004367586801776664, "acc_norm": 0.26777534355706034, "acc_norm_stderr": 0.004418948941099403 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.14814814814814814, "acc_stderr": 0.030688647610352657, "acc_norm": 0.14814814814814814, "acc_norm_stderr": 0.030688647610352657 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.2894736842105263, "acc_stderr": 0.03690677986137282, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.03690677986137282 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2339622641509434, "acc_stderr": 0.02605529690115292, "acc_norm": 0.2339622641509434, "acc_norm_stderr": 0.02605529690115292 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.22916666666666666, "acc_stderr": 0.03514697467862388, "acc_norm": 0.22916666666666666, "acc_norm_stderr": 0.03514697467862388 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.2, "acc_stderr": 0.04020151261036845, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.23, "acc_stderr": 0.04229525846816505, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.24855491329479767, "acc_stderr": 0.03295304696818318, "acc_norm": 0.24855491329479767, "acc_norm_stderr": 0.03295304696818318 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2549019607843137, "acc_stderr": 0.04336432707993177, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.04336432707993177 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.23, "acc_stderr": 0.042295258468165065, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165065 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.24680851063829787, "acc_stderr": 0.028185441301234102, "acc_norm": 0.24680851063829787, "acc_norm_stderr": 0.028185441301234102 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.19298245614035087, "acc_stderr": 0.037124548537213684, "acc_norm": 0.19298245614035087, "acc_norm_stderr": 0.037124548537213684 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.22758620689655173, "acc_stderr": 0.03493950380131184, "acc_norm": 0.22758620689655173, "acc_norm_stderr": 0.03493950380131184 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2566137566137566, "acc_stderr": 0.022494510767503154, "acc_norm": 0.2566137566137566, "acc_norm_stderr": 0.022494510767503154 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.23015873015873015, "acc_stderr": 0.037649508797906066, "acc_norm": 0.23015873015873015, "acc_norm_stderr": 0.037649508797906066 }, "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": 0.2645161290322581, "acc_stderr": 0.02509189237885928, "acc_norm": 0.2645161290322581, "acc_norm_stderr": 0.02509189237885928 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.270935960591133, "acc_stderr": 0.031270907132977, "acc_norm": 0.270935960591133, "acc_norm_stderr": 0.031270907132977 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.27, "acc_stderr": 0.0446196043338474, "acc_norm": 0.27, "acc_norm_stderr": 0.0446196043338474 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.19393939393939394, "acc_stderr": 0.0308741451365621, "acc_norm": 0.19393939393939394, "acc_norm_stderr": 0.0308741451365621 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.20707070707070707, "acc_stderr": 0.028869778460267042, "acc_norm": 0.20707070707070707, "acc_norm_stderr": 0.028869778460267042 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.26424870466321243, "acc_stderr": 0.031821550509166484, "acc_norm": 0.26424870466321243, "acc_norm_stderr": 0.031821550509166484 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2923076923076923, "acc_stderr": 0.023060438380857744, "acc_norm": 0.2923076923076923, "acc_norm_stderr": 0.023060438380857744 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2740740740740741, "acc_stderr": 0.027195934804085622, "acc_norm": 0

搜集汇总
数据集介绍
main_image_url
构建方式
在开放大语言模型排行榜(Open LLM Leaderboard)的评估框架下,该数据集专为评测johnsnowlabs/PhigRange-2.7B-slerp模型而生。它通过自动化流程,在单次评测运行中生成,整体由63个独立配置构成,每个配置精准对应一项被评估的任务。此外,数据集还特设一个名为“results”的配置,用于汇聚并存储该次运行的所有聚合结果,为排行榜上综合指标的计算与展示提供数据基础。
特点
该数据集的核心特色在于其结构化的分层设计与时间戳追踪机制。每个任务配置均包含以运行时间戳命名的特定数据分割,而“train”分割则始终指向最新的评测结果,确保了数据的新鲜度与可追溯性。这种设计不仅便于用户按需回溯历史评测细节,也通过“results”配置实现了多维度指标的集中管理与可视化呈现,充分体现了开放评测生态的透明性与严谨性。
使用方法
用户可通过HuggingFace的datasets库便捷地加载该数据集。例如,调用load_dataset函数并指定目标配置(如“harness_winogrande_5”)及分割名称(如“train”),即可获取对应任务的评测细节。数据集以Parquet格式存储,支持高效的数据读取与处理。这一接口设计降低了使用门槛,使得研究人员能够快速复现评测结果或进行深入分析。
背景与挑战
背景概述
随着大规模语言模型(LLMs)在自然语言处理领域的迅猛发展,如何系统性地评估其多维度能力成为研究焦点。Open LLM Leaderboard由Hugging Face团队于2023年发起,旨在通过标准化基准测试为社区提供透明、可复现的模型性能对比。该数据集记录了John Snow Labs团队开发的PhigRange-2.7B-slerp模型在2024年4月9日的评估运行结果,涵盖ARC、HellaSwag、MMLU、TruthfulQA等63个配置任务,全面覆盖常识推理、知识问答、数学求解等核心能力维度。作为开源评测生态的重要组件,该数据集不仅为模型开发者提供了细粒度的性能反馈,更推动了语言模型评估体系的规范化与民主化,使研究者能够基于统一标准追踪模型演进轨迹。
当前挑战
当前数据集面临的核心挑战集中于领域问题解决与构建过程两个层面。在领域问题层面,模型在GSM8K数学推理任务上完全失效(准确率为0),凸显了小型语言模型在符号推理与多步计算中的结构性短板;同时,MMLU多学科知识测试中多数科目准确率低于30%,反映出参数规模对知识存储与泛化能力的制约。在构建过程层面,评估结果的时间戳管理存在版本一致性难题,不同运行轮次的任务覆盖范围可能不同,导致跨期比较时需手动对齐数据切片;此外,63个独立配置的Parquet文件存储结构增加了批量加载的复杂度,而最新结果与历史分片的逻辑依赖关系(如train分割始终指向最新数据)要求使用者具备对数据集版本机制的深入理解。
常用场景
经典使用场景
在大型语言模型的性能评估与排名领域,该数据集作为Open LLM Leaderboard的评测结果记录载体,被广泛用于标准化地度量模型在多样化自然语言理解任务上的表现。其核心使用方式是通过加载不同配置下的评测分片,例如arc_challenge、hellaswag、winogrande及gsm8k等,来获取模型在推理、常识理解、数学运算等维度的精确度指标。研究者可借此横向对比不同模型在同一基准下的优劣,从而推动语言模型能力的系统性提升。
衍生相关工作
该数据集衍生了多项经典工作,包括基于其评测结果构建的模型排行榜、针对低分任务设计的专项优化方法,以及跨模型性能预测研究。例如,研究者利用该数据集的记录训练了性能预测器,能够在不完全评测的情况下估算新模型的综合能力。此外,其细粒度的任务划分还催生了领域自适应微调策略,即针对评测中暴露的薄弱环节(如医学知识或形式逻辑)进行定向增强,从而衍生出更鲁棒的通用语言模型。
数据集最近研究
最新研究方向
该数据集记录了John Snow Labs开发的PhigRange-2.7B-slerp模型在Open LLM Leaderboard上的全面评估结果,涵盖ARC挑战、HellaSwag、GSM8K、Winogrande及57项MMLU学科任务。当前研究前沿聚焦于探索中等规模语言模型(约2.7B参数)在通用知识与推理能力上的边际效益。值得注意的是,该模型在Winogrande任务上表现出接近随机基线的准确率(约49.96%),而在GSM8K数学推理任务上完全失效(准确率为0),揭示了模型在复杂符号推理与常识理解间的显著能力鸿沟。这一现象与近期关于模型规模与任务特异性关系的热点讨论相呼应——参数量的增长并非线性提升所有能力,反而凸显了数据质量与训练策略在特定领域中的关键作用。该评估数据集为研究社区提供了量化分析模型弱点与优势的基准,推动了关于语言模型泛化边界与评估标准化的深入思考。
以上内容由遇见数据集搜集并总结生成
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